{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Muesli Pty Ltd Cash Balance Forecast\n", "\n", "## Group Assignment Template\n", "\n", "This notebook serves as the core working template for your group assignment. All required data preparation, modelling, simulation, and visualisation should be completed within this notebook.\n", "\n", "Each group is expected to work collaboratively, but all members should understand and contribute to the full workflow.\n", "\n", "## Analytical Workflow\n", "\n", "This assignment follows a structured workflow:\n", "\n", "1. Parameter Estimation (from Historical Data)\n", "2. Simulation Model Construction\n", "3. Model Testing\n", "4. Monte Carlo Simulation\n", "5. Visualisation and Interpretation\n", "6. What-if Analysis and Decision-Making under Uncertainty\n", "\n", "You should build your solution progressively across these steps." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## User Input Parameters\n", "\n", "These parameters control the scope of your simulation model. \n", "You may adjust them if needed, but ensure consistency with the assignment requirements." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "start_date = '2026-05-29' # Must be a Friday\n", "history_weeks = 12\n", "\n", "# The length of the forecast period.\n", "# There are assumptions in the forecasting model tied to this. Don't set to anything less than 4! \n", "forecast_weeks = 16 # Adjust as needed for the what-if analysis\n", "\n", "nsim = 500 # Number of simulation runs " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Main Program\n", "### Import Libraries" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import platform\n", "import sqlalchemy as sal\n", "import pandas as pd\n", "import random as rnd\n", "from IPython.display import display\n", "from plotnine import *\n", "import numpy as np\n", "from scipy import stats as scipy_stats # Used for checking Wilson CI for baseline\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Define Functions" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "def db_connect (_driver = None):\n", " template = 'mssql+pyodbc:///?odbc_connect=DRIVER={};SERVER=dlyle.database.windows.net;DATABASE=DWV;UID=muesli;PWD=Viz(Data);'\n", "\n", " if not _driver is None:\n", " driver = _driver\n", " else:\n", " print('Guessing driver based on', platform.system(), platform.release(), platform.machine(), platform.platform())\n", " if platform.system() == 'Darwin': #MacOS\n", " if platform.machine() == 'arm64': #M1 chip\n", " driver = '/opt/homebrew/lib/libmsodbcsql.18.dylib'\n", " else:\n", " driver = '/Library/simba/sqlserverodbc/lib/libsqlserverodbc_sbu.dylib'\n", " else: #Windows and anything else\n", " driver = '{SQL Server}'\n", "\n", " c_str = template.format(driver)\n", " print(c_str)\n", " print('Attempting connection') \n", " cxn = sal.create_engine(c_str).connect()\n", " print('Success!')\n", " return cxn" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### System Parameters" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Forecast dates, as datetimes\n", "first_forecast_week = pd.to_datetime(start_date) + pd.DateOffset(weeks = 1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 1 — Parameter Estimation (from Historical Data)\n", "\n", "Estimate model input parameters from historical data:\n", "\n", "- Use SQL and pandas to extract relevant data\n", "- Compute key inputs (e.g., revenues, costs, payables)\n", "- Ensure values are correctly signed and appropriately aggregated\n", "\n", "These parameters are estimated from historical data and represent assumptions used in the simulation model. They should reflect realistic operating patterns observed in the historical dataset.\n", "\n", "Specifically, you are required to estimate:\n", "\n", "- Opening balances (Cash, Accounts Receivable, and Bank Loan)\n", "- Accounts Payable range (AP_Min / AP_Max)\n", "- Fixed costs\n", "- Variable cost range (min / max)\n", "- Finance cost (latest observed value)\n", "- Revenue ranges for each channel (Ch10, Ch12, Ch14)\n", "\n", "All values should be derived from data using appropriate aggregation and transformation techniques." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Initialise Forecasting Model Variables from Historical Data\n", "You will extract historical data from the Muesli SQL database.\n", "\n", "Ensure that your database connection works correctly before proceeding." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Guessing driver based on Windows 11 AMD64 Windows-11-10.0.26200-SP0\n", "mssql+pyodbc:///?odbc_connect=DRIVER={SQL Server};SERVER=dlyle.database.windows.net;DATABASE=DWV;UID=muesli;PWD=Viz(Data);\n", "Attempting connection\n", "Success!\n" ] } ], "source": [ "# Initialise dictionary that will hold name:value pairs for all the variables in the model.\n", "model = {}\n", "\n", "# Connect to database\n", "cxn = db_connect()" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Account_NameBalance
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0000140000Customers - Domestic Receivables1567561.85
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" ], "text/plain": [ " Account_Name Balance\n", "Account_Number \n", "0000140000 Customers - Domestic Receivables 1567561.85\n", "0000113300 Bank Cash Account 1083677.73\n", "0000113101 Bank Loan 2126528.09" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "1083677.73\n", "1567561.85\n", "2126528.09\n" ] } ], "source": [ "##############################\n", "# STUDENTS! YOUR CODE GOES HERE!!\n", "# Estimate the required model input parameters:\n", "# - Given the similarity, use one SQL and then filter for the relevant accounts\n", "# - Pay attention to +/- values depending on DR/CR balance. \n", "##############################\n", "\n", "### Calculate opening balances for Cash, Accounts Receivable and Bank Loan\n", "# =========================\n", "# INSERT START\n", "# Purpose: Estimate opening cash, accounts receivable, and remaining bank loan from balance-sheet accounts\n", "# Please name the dataframe returned from pd.read_sql() balances for checking purpose\n", "# =========================\n", "\n", "###### Account numbers for the three opening balances we need\n", "ACCT_CASH = '0000113300' # Bank Cash Account\n", "ACCT_AR = '0000140000' # Customers - Domestic Receivables\n", "ACCT_BANK_LOAN = '0000113101' # Bank Loan\n", "\n", "###### Get the balance for each account as at the start date.\n", "###### CASE WHEN flips CR amounts to negative so the SUM gives a signed balance.\n", "balances = pd.read_sql(f\"\"\"\n", "SELECT \n", " a.Account_Number,\n", " a.Account_Name,\n", " SUM(\n", " CASE \n", " WHEN a.Account_Group = 'BS-Assets' AND e.DR_or_CR = 'DR' \n", " THEN e.Amount\n", " WHEN a.Account_Group = 'BS-Assets' AND e.DR_or_CR = 'CR' \n", " THEN -e.Amount\n", " WHEN a.Account_Group IN ('BS-Liabilities', 'BS-Equity') AND e.DR_or_CR = 'CR' \n", " THEN e.Amount\n", " WHEN a.Account_Group IN ('BS-Liabilities', 'BS-Equity') AND e.DR_or_CR = 'DR' \n", " THEN -e.Amount\n", " ELSE 0\n", " END\n", ") AS Balance \n", "FROM GL_Posting_Entries AS e\n", "JOIN GL_Postings AS p ON e.Document_Number = p.Document_Number\n", "JOIN GL_Accounts AS a ON e.Account_Number = a.Account_Number\n", "WHERE p.Posting_Date <= '{start_date}' \n", " AND a.Account_Number IN ('{ACCT_CASH}', '{ACCT_AR}', '{ACCT_BANK_LOAN}')\n", " GROUP BY a.Account_Number, a.Account_Name\n", "\"\"\", cxn)\n", "\n", "balances = balances.set_index('Account_Number')\n", "\n", "# Replace the placeholder values (0s) below with the estimated results from your analysis by the above code\n", "###### Save the opening balances into model.\n", "model['OB_Cash'] = balances.loc[ACCT_CASH, 'Balance']\n", "model['OB_AR'] = balances.loc[ACCT_AR, 'Balance']\n", "model['OB_BankLoan'] = balances.loc[ACCT_BANK_LOAN, 'Balance']\n", "\n", "\n", "# =========================\n", "# INSERT END\n", "# =========================\n", "\n", "# Display for checking. \n", "display(balances)\n", "\n", "###### print each opening balance to check the values and signs before using them in the model\n", "print(model['OB_Cash'])\n", "print(model['OB_AR'])\n", "print(model['OB_BankLoan'])" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "###### list all candidate accounts (9 related costs + 36 ads)\n", "#pd.read_sql(f\"\"\"\n", "#SELECT\n", "# a.Account_Number,\n", "# a.Account_Name\n", "#FROM GL_Accounts AS a\n", "#WHERE a.Account_Number IN (\n", "# '0000400000','0000500000','0000510000', -- Manufacturing Category\n", "# '0000472000','0000478100', -- Logistics Category\n", "# '0000476900', -- Financing Category\n", "# '0000478000', -- Consulting Category\n", "# '0000520000', -- Sales and Admin Category\n", "# '0000160000' -- Accounts Payable Category\n", "# )\n", "#OR a.Account_Number Between '0000477001' and '0000477036' -- Sales and Admin Category\n", "#ORDER BY a.Account_Number \n", "#\"\"\", cxn)\n", "\n", "# The table shows 45 accounts in total " ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "###### do the 36 Advertising accounts have any postings? → if 0 we drop them\n", "#ad_check = pd.read_sql(f\"\"\"\n", "# SELECT a.Account_Number, a.Account_Name, COUNT(*) AS num_postings\n", "# FROM GL_Posting_Entries AS e\n", "# JOIN GL_Postings AS p ON e.Document_Number = p.Document_Number\n", "# JOIN GL_Accounts AS a ON e.Account_Number = a.Account_Number\n", "# WHERE a.Account_Number BETWEEN '0000477001' AND '0000477036'\n", "# AND DATEDIFF(week, p.Posting_Date, '{start_date}') BETWEEN 0 AND {history_weeks - 1}\n", "# GROUP BY a.Account_Number, a.Account_Name\n", "# ORDER BY a.Account_Number\n", "#\"\"\", cxn)\n", "#\n", "#display(ad_check)\n", "#print(f'ad accounts with postings: {len(ad_check)}')\n", "\n", "###### The result shows 0, so we drop the 36 Advertising accounts and use the remaining 9 accounts." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Account_NumberAccount_NameCash_Outflow
Posting_Date
2026-03-090000472000Shipping costs3000.00
2026-03-120000160000Accounts payable - Domestic292537.00
2026-03-120000472000Shipping costs3000.00
2026-03-130000476900Interest expenses5453.95
2026-03-130000478100Warehousing costs5000.00
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" ], "text/plain": [ " Account_Number Account_Name Cash_Outflow\n", "Posting_Date \n", "2026-03-09 0000472000 Shipping costs 3000.00\n", "2026-03-12 0000160000 Accounts payable - Domestic 292537.00\n", "2026-03-12 0000472000 Shipping costs 3000.00\n", "2026-03-13 0000476900 Interest expenses 5453.95\n", "2026-03-13 0000478100 Warehousing costs 5000.00" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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AP_weekly_equivalentFixed_weeklyVariable_weeklyFinance_weekly
2026-03-13146268.5075000.011000.05453.95
2026-03-20146268.5075000.011000.05453.95
2026-03-27259617.5075000.07500.05453.95
2026-04-03259617.5075000.010500.05453.95
2026-04-10143046.0575000.011000.04144.00
2026-04-17143046.0575000.07000.04144.00
2026-04-24146521.7575000.09500.04144.00
2026-05-01146521.7575000.010000.04144.00
2026-05-08159433.2575000.07500.02791.80
2026-05-15159433.2575000.010500.02791.80
2026-05-22169171.7075000.011000.02583.05
2026-05-29169171.7075000.07500.02583.05
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" ], "text/plain": [ " AP_weekly_equivalent Fixed_weekly Variable_weekly \\\n", "2026-03-13 146268.50 75000.0 11000.0 \n", "2026-03-20 146268.50 75000.0 11000.0 \n", "2026-03-27 259617.50 75000.0 7500.0 \n", "2026-04-03 259617.50 75000.0 10500.0 \n", "2026-04-10 143046.05 75000.0 11000.0 \n", "2026-04-17 143046.05 75000.0 7000.0 \n", "2026-04-24 146521.75 75000.0 9500.0 \n", "2026-05-01 146521.75 75000.0 10000.0 \n", "2026-05-08 159433.25 75000.0 7500.0 \n", "2026-05-15 159433.25 75000.0 10500.0 \n", "2026-05-22 169171.70 75000.0 11000.0 \n", "2026-05-29 169171.70 75000.0 7500.0 \n", "\n", " Finance_weekly \n", "2026-03-13 5453.95 \n", "2026-03-20 5453.95 \n", "2026-03-27 5453.95 \n", "2026-04-03 5453.95 \n", "2026-04-10 4144.00 \n", "2026-04-17 4144.00 \n", "2026-04-24 4144.00 \n", "2026-05-01 4144.00 \n", "2026-05-08 2791.80 \n", "2026-05-15 2791.80 \n", "2026-05-22 2583.05 \n", "2026-05-29 2583.05 " ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "143046.05\n", "259617.5\n", "75000.0\n", "7000.0\n", "11000.0\n", "2583.05\n" ] } ], "source": [ "##############################\n", "# STUDENTS! YOUR CODE GOES HERE!!\n", "# Estimate the required model input parameters:\n", "# - Given the similarity, use one SQL and then filter for the relevant accounts\n", "# - Pay attention to +/- values depending on DR/CR balance. \n", "##############################\n", "\n", "### Estimate cost and payable parameters: weekly fixed and variable cash outflows\n", "# =========================\n", "# INSERT START\n", "# Purpose: Estimate AP, fixed cost, variable cost, and finance cost parameters from historical cash outflows\n", "# =========================\n", "#\n", "#\n", "#\n", "###### 1. Define account numbers\n", "\n", "###### Account numbers used in the SQL filter and pandas groupings below\n", "ACCT_AP = '0000160000'\n", "ACCT_CON_RAW_MATERIALS = '0000400000'\n", "ACCT_SHIPPING = '0000472000'\n", "ACCT_INTEREST = '0000476900'\n", "ACCT_LEAN_MFG = '0000478000'\n", "ACCT_WAREHOUSING = '0000478100'\n", "ACCT_DIRECT_LABOR = '0000500000'\n", "ACCT_FACTORY_OH = '0000510000'\n", "ACCT_SGA = '0000520000'\n", "\n", "###### 2. SQL query: read historical cash outflows\n", "###### The query filters to cash-credit documents and sums the related account amounts as cash outflows.\n", "###### Date range covers the 12 weeks before start_date (the historical window for parameter estimation).\n", "###### This SQL first identifies documents where the cash account was credited, meaning cash left the bank.\n", "###### It then pulls the matching expense/payable account lines from those same documents, so the model only uses actual cash outflows.\n", "sql_cash_outflows = f\"\"\"\n", "With Cash_Outflow_Docs AS (\n", "SELECT \n", " p. Document_Number As Outflow_Doc\n", "FROM GL_Posting_Entries AS e\n", "JOIN GL_Postings AS p ON e.Document_Number = p.Document_Number\n", "JOIN GL_Accounts AS a ON e.Account_Number = a.Account_Number\n", "WHERE a.Account_Number = '{ACCT_CASH}'\n", "AND DR_or_CR = 'CR'\n", ")\n", "SELECT \n", " p.Posting_Date,\n", " a.Account_Number,\n", " a.Account_Name,\n", " Sum(Amount) As Cash_Outflow\n", "FROM GL_Posting_Entries AS e\n", "JOIN GL_Postings AS p ON e.Document_Number = p.Document_Number\n", "JOIN GL_Accounts AS a ON e.Account_Number = a.Account_Number\n", "WHERE DATEDIFF(week, p.Posting_Date, '{start_date}') BETWEEN 0 AND {history_weeks - 1} \n", "AND a.Account_Number IN ('{ACCT_AP}', '{ACCT_CON_RAW_MATERIALS}', '{ACCT_SHIPPING}',\n", " '{ACCT_INTEREST}', '{ACCT_LEAN_MFG}', '{ACCT_WAREHOUSING}', '{ACCT_DIRECT_LABOR}',\n", " '{ACCT_FACTORY_OH}', '{ACCT_SGA}')\n", "AND a.Account_Number <> '{ACCT_CASH}'\n", "AND p.document_number IN (\n", "SELECT \n", " Outflow_Doc\n", " From Cash_Outflow_Docs\n", ")\n", " GROUP BY p.Posting_Date, a.Account_Number, a.Account_Name\n", " ORDER BY p.Posting_Date, a.Account_Number\n", "\"\"\"\n", "\n", "\n", "###### 3. Read SQL result into cash_outflows \n", "cash_outflows = (\n", " pd.read_sql(sql_cash_outflows, cxn, parse_dates=['Posting_Date']) # Parse dates upfront so resample() can work on a DatetimeIndex\n", " .set_index('Posting_Date') # Use date as index for time-based aggregation later\n", ")\n", "\n", "###### Sanity check: confirm cash_outflows loaded correctly with date index\n", "display(cash_outflows.head())\n", "\n", "\n", "# Account groups used in the forecasting model.\n", "\n", "###### AP: payables account, handled separately because it pays fortnightly not weekly\n", "AP_ACCOUNTS = [ACCT_AP]\n", "\n", "###### FIXED: weekly totals were flat across all 12 weeks → use mean as a constant cost\n", "FIXED_ACCOUNTS = [\n", " ACCT_DIRECT_LABOR, # 0000500000 - flat at 20K/week \n", " ACCT_FACTORY_OH, # 0000510000 - flat at 15K/week\n", " ACCT_SGA # 0000520000 - flat at 40K/week\n", "]\n", "\n", "###### VARIABLE: weekly totals fluctuate a lot → use min/max range to capture uncertainty\n", "VARIABLE_ACCOUNTS = [\n", " ACCT_SHIPPING, # 0000472000 - moderate variation (3K-6K)\n", " ACCT_WAREHOUSING # 0000478100 - small variation(3K-5K)\n", "]\n", "\n", "###### The variation data mentioned in the comments above is extracted from the commented-out table below\n", "###### Skipping ACCT_CON_RAW_MATERIALS: a separate check (commented out below) returned no rows\n", "###### Skipping LEAN_MFG: a separate check (commented out below) returned no rows\n", "\n", "###### FINANCE: interest is handled separately because it trended down with the principal\n", "FINANCE_ACCOUNTS = [ACCT_INTEREST]\n", "\n", "\n", "# A/P payments occur fortnightly. Estimate fortnightly cash outflows, then divide by two\n", "# to convert the range into weekly model inputs.\n", "\n", "ap_weekly_equivalent = (\n", " cash_outflows[\n", " (cash_outflows['Account_Number'].isin(AP_ACCOUNTS))]\n", " ['Cash_Outflow']\n", " .resample('2W-FRI').sum()\n", " / 2\n", ")\n", "# Extend A/P to the final historical week.\n", "# If the last fortnightly A/P bucket ends before start_date, carry the latest weekly-equivalent value forward.\n", "ap_weekly_equivalent = (\n", " ap_weekly_equivalent\n", " .reindex(pd.date_range(ap_weekly_equivalent.index.min(), start_date, freq='W-FRI'))\n", " .ffill()\n", ")\n", " \n", "# Replace the placeholder values (0s) below with the estimated results from your analysis from the above inserted code\n", "model['AP_Min'] = ap_weekly_equivalent.min()\n", "model['AP_Max'] = ap_weekly_equivalent.max()\n", "\n", "# Fixed operating costs are treated as a constant weekly outflow because these accounts\n", "# are expected to remain relatively stable week to week.\n", "fixed_weekly = (\n", "cash_outflows[cash_outflows['Account_Number'].isin(FIXED_ACCOUNTS)] # Keep only fixed-cost accounts\n", " ['Cash_Outflow'] # Get the cash outflow column\n", " .resample('W-FRI').sum() # Sum by week (Friday close)\n", ")\n", "\n", "\n", "# Replace the placeholder values (0s) below with the estimated results from your analysis from the above inserted code\n", "model['Cost_Fixed'] = fixed_weekly.mean()\n", "\n", "# Variable costs are modelled with a uniform min/max range based on historical weekly totals.\n", "variable_weekly = (\n", "cash_outflows[cash_outflows['Account_Number'].isin(VARIABLE_ACCOUNTS)] # Keep only variable-cost accounts\n", " ['Cash_Outflow'] # Get the cash outflow column\n", " .resample('W-FRI').sum() # Sum by week (Friday close)\n", ")\n", "\n", "# Replace the placeholder values (0s) below with the estimated results from your analysis from the above inserted code \n", "model['Cost_Var_Min'] = variable_weekly.min()\n", "model['Cost_Var_Max'] = variable_weekly.max()\n", "\n", "# Finance cost uses the latest observed weekly interest cost. The forecast model does not\n", "# include additional principal repayments before the decision point, so the latest interest\n", "# amount is used as the fixed weekly finance outflow.\n", "finance_weekly = (\n", "cash_outflows[cash_outflows['Account_Number'] == ACCT_INTEREST] # Filter to interest rows\n", " ['Cash_Outflow'] # Get the cash outflow column\n", " .resample('W-FRI').sum() # Sum by week (Friday close)\n", ")\n", "\n", "# Replace the placeholder values (0s) below with the estimated results from your analysis from the above inserted code\n", "model['Cost_Finance'] = finance_weekly.loc[finance_weekly.index.max()]\n", "\n", "\n", "# Display intermediate summaries to make checking easier.\n", "display(pd.DataFrame({\n", " 'AP_weekly_equivalent': ap_weekly_equivalent,\n", " 'Fixed_weekly': fixed_weekly,\n", " 'Variable_weekly': variable_weekly,\n", " 'Finance_weekly': finance_weekly\n", "}))\n", "\n", "# =========================\n", "# INSERT END\n", "# =========================\n", "\n", "###### print each final cost/payable value stored in the model to check they look reasonable before doing revenue\n", "print(model['AP_Min'])\n", "print(model['AP_Max'])\n", "print(model['Cost_Fixed'])\n", "print(model['Cost_Var_Min'])\n", "print(model['Cost_Var_Max'])\n", "print(model['Cost_Finance'])" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "# print the whole model dictionary here to check the opening balances and the cost and accounts payable parameters are stored correctly before moving on\n", "# the revenue channel parameters are not added yet, they come from the next query\n", "# print(model)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "# check if we have ACCT_LEAN_MFG \n", "# \"Data anomalies are accounted for. The logic does not make unreasonable assumptions.\"\n", "# cash_outflows[cash_outflows['Account_Number'] == ACCT_LEAN_MFG]\n", "\n", "# The result is empty, meaning no transactions in 12 weeks, ignore" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "## quick check: after the cash-CR filter, does Raw Materials still have any actual cash payment rows?\n", "# cash_outflows[cash_outflows['Account_Number'] == ACCT_CON_RAW_MATERIALS]\n", "\n", "# The result is empty, so we cannot treat Raw Materials as variable costs, and need to be excluded." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "###### transaction frequency evidence (12 = weekly-regular, >12 = irregular)\n", "#cash_outflows.groupby('Account_Name').size()" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "###### validation plots (A/P comparison + fixed/variable split) moved to Step 5\n", "###### see the visualisation section for the supporting charts" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Channel_CodeRevenue
Invoice_Date
2026-03-101047144.07
2026-03-181064655.80
2026-03-191060083.73
2026-03-201042081.06
2026-03-241051757.88
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" ], "text/plain": [ " Channel_Code Revenue\n", "Invoice_Date \n", "2026-03-10 10 47144.07\n", "2026-03-18 10 64655.80\n", "2026-03-19 10 60083.73\n", "2026-03-20 10 42081.06\n", "2026-03-24 10 51757.88" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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Ch10Ch12Ch14
Invoice_Date
2026-03-1347144.07169977.25199821.69
2026-03-20166820.59260411.7198773.04
2026-03-2751757.88353083.89118277.21
2026-04-0348772.21358225.2264469.29
2026-04-100.00248687.31195730.64
2026-04-17101051.06411604.9222439.16
2026-04-24168159.32207461.8799685.80
2026-05-0158960.00281828.54149713.66
2026-05-0836474.60100130.86130978.52
2026-05-15235557.97347161.6222623.65
2026-05-220.00365179.2860627.12
2026-05-29102151.00317275.51207989.28
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" ], "text/plain": [ " Ch10 Ch12 Ch14\n", "Invoice_Date \n", "2026-03-13 47144.07 169977.25 199821.69\n", "2026-03-20 166820.59 260411.71 98773.04\n", "2026-03-27 51757.88 353083.89 118277.21\n", "2026-04-03 48772.21 358225.22 64469.29\n", "2026-04-10 0.00 248687.31 195730.64\n", "2026-04-17 101051.06 411604.92 22439.16\n", "2026-04-24 168159.32 207461.87 99685.80\n", "2026-05-01 58960.00 281828.54 149713.66\n", "2026-05-08 36474.60 100130.86 130978.52\n", "2026-05-15 235557.97 347161.62 22623.65\n", "2026-05-22 0.00 365179.28 60627.12\n", "2026-05-29 102151.00 317275.51 207989.28" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "0.0\n", "235557.96999999997\n", "100130.86\n", "411604.92000000004\n", "22439.16\n", "207989.28\n" ] } ], "source": [ "##############################\n", "# STUDENTS! YOUR CODE GOES HERE!!\n", "# Estimate the required model input parameters:\n", "# Given the similarity, use one SQL and then filter for relevant channel\n", "# Use resample to calculate weekly values, then take the min and max\n", "##############################\n", "\n", "### Estimate Min and Max weekly revenue for each channel.\n", "# =========================\n", "# INSERT START\n", "# Purpose: Estimate weekly revenue ranges for Channels 10, 12, and 14 from historical invoice data\n", "# =========================\n", "# Revenue is generated first and converted into cash later according to the fixed collection schedule.\n", "# Therefore, this step estimates revenue ranges, not immediate cash inflows.\n", "\n", "###### Account/Channel codes used in the SQL filter and pandas groupings below\n", "CH_DIRECT = '10' # Direct channel\n", "CH_RETAIL = '12' # Retail channel \n", "CH_WHOLESALE = '14' # Wholesale channel\n", "\n", "###### SQL pulls historical sales invoices for the 3 revenue channels over the history window.\n", "###### Revenue is recorded on Invoice_Date, which is what we group on (cash collection comes later per the collection schedule).\n", "sql_revenue = f\"\"\"\n", "SELECT \n", " si.Invoice_Date,\n", " c.Channel_Code,\n", " SUM(si.Amount) AS Revenue\n", "FROM Sales_Invoices AS si\n", "JOIN Sales_Orders AS so \n", " ON si.Document_Number = so.Document_Number\n", "JOIN Customers AS c \n", " ON so.Customer_ID = c.Customer_ID\n", "WHERE DATEDIFF(week, si.Invoice_Date, '{start_date}') BETWEEN 0 AND {history_weeks - 1}\n", " AND c.Channel_Code IN ({CH_DIRECT}, {CH_RETAIL}, {CH_WHOLESALE})\n", "GROUP BY si.Invoice_Date, c.Channel_Code\n", "\"\"\"\n", "\n", "revenue = (\n", " pd.read_sql(sql_revenue, cxn, parse_dates=['Invoice_Date']) # Parse dates so resample works later\n", " .set_index('Invoice_Date') # Use invoice date as index for time-based grouping\n", ")\n", "\n", "display(revenue.head())\n", "\n", "\n", "###### Replace the template code for weekly_revenue_by_channel and the revenue values with a more concise loop.\n", "CHANNELS = {'10': CH_DIRECT, '12': CH_RETAIL, '14': CH_WHOLESALE}\n", "weekly_revenue_by_channel = {}\n", "\n", "for ch_num, ch_code in CHANNELS.items():\n", " weekly = (\n", " revenue[revenue['Channel_Code'] == ch_code]['Revenue']\n", " .resample('W-FRI').sum()\n", " )\n", " weekly_revenue_by_channel[f'Ch{ch_num}'] = weekly\n", " model[f'Ch{ch_num}_Rev_Min'] = weekly.min()\n", " model[f'Ch{ch_num}_Rev_Max'] = weekly.max()\n", "\n", " \n", "\n", "# Display for checking: each channel should have a weekly min and max based on the historical window.\n", "display(pd.DataFrame(weekly_revenue_by_channel))\n", "# =========================\n", "# INSERT END\n", "# =========================\n", "\n", "###### print each channel's final revenue min and max stored in the model to check they look reasonable\n", "print(model['Ch10_Rev_Min'])\n", "print(model['Ch10_Rev_Max'])\n", "\n", "print(model['Ch12_Rev_Min'])\n", "print(model['Ch12_Rev_Max'])\n", "\n", "print(model['Ch14_Rev_Min'])\n", "print(model['Ch14_Rev_Max'])" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "# print the model dictionary again to check the three revenue channel parameters have been added on top of the earlier ones\n", "# at this point all the Step 1 parameters are in the model, before casting them to integers\n", "# print(model)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "###### verify Ch10_Rev_Min = 0 came from actual data\n", "#print(weekly_revenue_by_channel['Ch10'])\n", "#print(\"Min:\", weekly_revenue_by_channel['Ch10'].min())\n", "#print(\"Model Ch10_Rev_Min:\", model['Ch10_Rev_Min'])" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "###### verify Ch10 had zero invoices in week 2026-04-06 to 2026-04-10\n", "#revenue[(revenue['Channel_Code'] == '10') & \n", "# (revenue.index >= '2026-04-06') & \n", "# (revenue.index <= '2026-04-10')]\n" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "# Close database connection\n", "cxn.close()" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "### Cast all model values so far to integer values\n", "for k in model.keys():\n", " model[k] = int(model[k])" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "### Cash collection distribution (% collected each following week), please use it as given\n", "model['Ch10_Pay_1W'] = 0\n", "model['Ch10_Pay_2W'] = 0\n", "model['Ch10_Pay_3W'] = 0\n", "model['Ch10_Pay_4W'] = 1\n", "\n", "model['Ch12_Pay_1W'] = 0\n", "model['Ch12_Pay_2W'] = 0\n", "model['Ch12_Pay_3W'] = 0.5\n", "model['Ch12_Pay_4W'] = 0.5\n", "\n", "model['Ch14_Pay_1W'] = 0.25\n", "model['Ch14_Pay_2W'] = 0.25\n", "model['Ch14_Pay_3W'] = 0.25\n", "model['Ch14_Pay_4W'] = 0.25" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'OB_Cash': 1083677,\n", " 'OB_AR': 1567561,\n", " 'OB_BankLoan': 2126528,\n", " 'AP_Min': 143046,\n", " 'AP_Max': 259617,\n", " 'Cost_Fixed': 75000,\n", " 'Cost_Var_Min': 7000,\n", " 'Cost_Var_Max': 11000,\n", " 'Cost_Finance': 2583,\n", " 'Ch10_Rev_Min': 0,\n", " 'Ch10_Rev_Max': 235557,\n", " 'Ch12_Rev_Min': 100130,\n", " 'Ch12_Rev_Max': 411604,\n", " 'Ch14_Rev_Min': 22439,\n", " 'Ch14_Rev_Max': 207989,\n", " 'Ch10_Pay_1W': 0,\n", " 'Ch10_Pay_2W': 0,\n", " 'Ch10_Pay_3W': 0,\n", " 'Ch10_Pay_4W': 1,\n", " 'Ch12_Pay_1W': 0,\n", " 'Ch12_Pay_2W': 0,\n", " 'Ch12_Pay_3W': 0.5,\n", " 'Ch12_Pay_4W': 0.5,\n", " 'Ch14_Pay_1W': 0.25,\n", " 'Ch14_Pay_2W': 0.25,\n", " 'Ch14_Pay_3W': 0.25,\n", " 'Ch14_Pay_4W': 0.25}" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "### All model variables complete - display\n", "display(model)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 2 — Simulation Model Construction\n", "\n", "Implement a weekly cash forecasting model. Your model should:\n", "\n", "- Generate simulated weekly revenues\n", "- Apply all cost components\n", "- Allocate delayed cash collections across future weeks\n", "- Compute weekly and total cash movement\n", "\n", "The logic of your simulation should be clearly structured and consistent with the parameters estimated in Step 1." ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "def cash_forecast (_model_vars, _start, _weeks, _disp_sched = False):\n", "##############################\n", "# STUDENTS:\n", "# Review the forecasting logic carefully and ensure you understand\n", "# how timing assumptions influence cash inflows and outflows.\n", "# Refer to forecasting model variables in Step 1 to see what values are available in the _model_vars dictionary.\n", "##############################\n", "\n", " # Set up an empty forecasting schedule\n", " ix = pd.date_range(\n", " start = _start,\n", " periods = _weeks + 4, # Extra 4 weeks buffer to account for delayed cash collections, given 30 day payment terms. \n", " freq='W-FRI'\n", " )\n", " cols = ['AccPay', # Week by week accounts payables\n", " 'FixCost', 'VarCost', 'FinCost', # Week by week operating overheads\n", " # New weekly random revenues for each channel, and subsequent cash collections\n", " 'Ch10Rev', 'Ch10Cash', \n", " 'Ch12Rev', 'Ch12Cash',\n", " 'Ch14Rev', 'Ch14Cash' \n", " ]\n", " schedule = pd.DataFrame(\n", " index = ix, columns = cols, dtype = float\n", " ).fillna(0)\n", " \n", " # Run week by week simulation\n", " for d in pd.date_range(start = _start, periods = _weeks, freq='W-FRI'):\n", "\n", " ##############################\n", " # STUDENTS! YOUR CODE GOES HERE!!\n", " # Populate all cells of the \"schedule\" DataFrame for week-to-week forecasting\n", " ##############################\n", " # For each simulated week, calculate and set the values in the relevant cells of the schedule.\n", " # Pay attention to sign: inflows must be positive, outflows must be negative.\n", " # Reference ALL model variables using the _model_vars input parameter ONLY.\n", " # Forecast NEW revenues and associated cash collections across the subsequent 4 weeks.\n", " # Forecast each outflow for each week.\n", " # =========================\n", " # INSERT START\n", " # Purpose: Simulate weekly cash outflows, weekly revenue generation, and delayed channel cash collections\n", " # =========================\n", " # Outflows are recorded as negative cash movements.\n", " \n", " ###### 1. weekly outflows\n", " ###### AP and variable cost → uniform random between Min and Max\n", " ###### Fixed and finance cost → flat constants every week\n", " schedule.loc[d, 'AccPay'] = -rnd.randint(_model_vars['AP_Min'], _model_vars['AP_Max']) \n", " schedule.loc[d, 'FixCost'] = -_model_vars['Cost_Fixed']\n", " schedule.loc[d, 'VarCost'] = -rnd.randint(_model_vars['Cost_Var_Min'], _model_vars['Cost_Var_Max']) \n", " schedule.loc[d, 'FinCost'] = -_model_vars['Cost_Finance']\n", "\n", "\n", " ###### 2. weekly revenue per channel (NOT cash yet!)\n", " ###### fresh random draw each week → using historical Min/Max from Step 1\n", " schedule.loc[d, 'Ch10Rev'] = rnd.randint(_model_vars['Ch10_Rev_Min'], _model_vars['Ch10_Rev_Max']) \n", " schedule.loc[d, 'Ch12Rev'] = rnd.randint(_model_vars['Ch12_Rev_Min'], _model_vars['Ch12_Rev_Max']) \n", " schedule.loc[d, 'Ch14Rev'] = rnd.randint(_model_vars['Ch14_Rev_Min'], _model_vars['Ch14_Rev_Max']) \n", "\n", " \n", " # Revenues are generated in the current week, but cash is collected in later weeks.\n", " # The fixed collection percentages are stored in the model dictionary.\n", " # Use a loop within a loop if it is helpful.\n", "\n", "\n", " ###### each week's revenue → split into next 4 weeks using channel pay %\n", " ###### Ch10 = 100% week+4, Ch12 = 50/50 weeks 3+4, Ch14 = 25% each week\n", " for ch in ['Ch10', 'Ch12', 'Ch14']:\n", " rev = schedule.loc[d, f'{ch}Rev']\n", " for w in range(1, 5):\n", " pct = _model_vars[f'{ch}_Pay_{w}W']\n", " future_date = d + pd.DateOffset(weeks=w)\n", " schedule.loc[future_date, f'{ch}Cash'] += rev * pct\n", " \n", " \n", " # =========================\n", " # INSERT END\n", " # =========================\n", " # Enter all code above this line\n", " ##############################\n", "\n", " # Keep only relevant rows and columns; calculate total change in cash position\n", " end = _start + pd.DateOffset(weeks = _weeks-1)\n", " forecast = schedule.loc[_start:end,['Ch10Cash', 'Ch12Cash', 'Ch14Cash', 'AccPay', 'FixCost', 'VarCost', 'FinCost']]\n", " net_change = forecast.values.sum() # Add all cell values\n", "\n", " if _disp_sched:\n", " # For debugging. Set the input parameter to True if you want to see this.\n", " display(schedule)\n", " print(f'CH10 Total Rev => Cash: {schedule.Ch10Rev.sum()} => {schedule.Ch10Cash.sum()}')\n", " print(f'CH12 Total Rev => Cash: {schedule.Ch12Rev.sum()} => {schedule.Ch12Cash.sum()}')\n", " print(f'CH14 Total Rev => Cash: {schedule.Ch14Rev.sum()} => {schedule.Ch14Cash.sum()}')\n", " display(forecast)\n", " \n", " ##############################\n", " # STUDENTS! YOUR CODE GOES HERE!!\n", " # Calculate the forecast closing cash balance.\n", " # - Consider adding / subtracting one time events and 'net_change' to the opening cash balance.\n", " ###############################\n", " # =========================\n", " # INSERT START\n", " # Purpose: Compute the forecast closing cash balance\n", " # =========================\n", " \n", " # Comments for the following equation\n", " # Replace the following *** with your calculation\n", " forecast_closing_balance = _model_vars['OB_Cash'] + net_change + _model_vars['OB_AR']\n", " \n", " # =========================\n", " # INSERT END\n", " # ========================= \n", " # Enter all code above this line\n", " ##############################\n", "\n", " return forecast_closing_balance" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 3 — Model Testing\n", "\n", "Run a single simulation to verify that your model behaves as expected.\n", "\n", "You should check:\n", "- signs of cash flows (inflows vs outflows) \n", "- whether delayed payments are correctly applied \n", "- whether outputs are reasonable" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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AccPayFixCostVarCostFinCostCh10RevCh10CashCh12RevCh12CashCh14RevCh14Cash
2026-06-05-153511.0-75000.0-8769.0-2583.0153082.00.0333492.00.0152616.00.00
2026-06-12-193634.0-75000.0-9579.0-2583.098231.00.0383992.00.0132093.038154.00
2026-06-19-165583.0-75000.0-9883.0-2583.0103059.00.0297955.00.0189809.071177.25
2026-06-26-199709.0-75000.0-10725.0-2583.071678.00.0297443.0166746.0163949.0118629.50
2026-07-03-144453.0-75000.0-10529.0-2583.0152142.0153082.0377480.0358742.0189603.0159616.75
2026-07-10-251304.0-75000.0-8524.0-2583.0104191.098231.0226816.0340973.5104617.0168863.50
2026-07-17-177533.0-75000.0-7926.0-2583.029189.0103059.0259525.0297699.097180.0161994.50
2026-07-24-227537.0-75000.0-10243.0-2583.043237.071678.0340507.0337461.584354.0138837.25
2026-07-31-169196.0-75000.0-9486.0-2583.059950.0152142.0122011.0302148.0168671.0118938.50
2026-08-07-170433.0-75000.0-9120.0-2583.0127158.0104191.0107249.0243170.542691.0113705.50
2026-08-14-239376.0-75000.0-8826.0-2583.0217117.029189.0329110.0300016.0107133.098224.00
2026-08-21-210444.0-75000.0-10048.0-2583.082549.043237.0243198.0231259.095468.0100712.25
2026-08-28-239280.0-75000.0-10261.0-2583.0194466.059950.0370153.0114630.061877.0103490.75
2026-09-04-228337.0-75000.0-10895.0-2583.0217502.0127158.0119738.0218179.580415.076792.25
2026-09-11-189636.0-75000.0-8614.0-2583.0100823.0217117.0359298.0286154.077544.086223.25
2026-09-18-171676.0-75000.0-9175.0-2583.0210708.082549.0260682.0306675.596078.078826.00
2026-09-250.00.00.00.00.0194466.00.0244945.50.078978.50
2026-10-020.00.00.00.00.0217502.00.0239518.00.063509.25
2026-10-090.00.00.00.00.0100823.00.0309990.00.043405.50
2026-10-160.00.00.00.00.0210708.00.0130341.00.024019.50
\n", "
" ], "text/plain": [ " AccPay FixCost VarCost FinCost Ch10Rev Ch10Cash Ch12Rev \\\n", "2026-06-05 -153511.0 -75000.0 -8769.0 -2583.0 153082.0 0.0 333492.0 \n", "2026-06-12 -193634.0 -75000.0 -9579.0 -2583.0 98231.0 0.0 383992.0 \n", "2026-06-19 -165583.0 -75000.0 -9883.0 -2583.0 103059.0 0.0 297955.0 \n", "2026-06-26 -199709.0 -75000.0 -10725.0 -2583.0 71678.0 0.0 297443.0 \n", "2026-07-03 -144453.0 -75000.0 -10529.0 -2583.0 152142.0 153082.0 377480.0 \n", "2026-07-10 -251304.0 -75000.0 -8524.0 -2583.0 104191.0 98231.0 226816.0 \n", "2026-07-17 -177533.0 -75000.0 -7926.0 -2583.0 29189.0 103059.0 259525.0 \n", "2026-07-24 -227537.0 -75000.0 -10243.0 -2583.0 43237.0 71678.0 340507.0 \n", "2026-07-31 -169196.0 -75000.0 -9486.0 -2583.0 59950.0 152142.0 122011.0 \n", "2026-08-07 -170433.0 -75000.0 -9120.0 -2583.0 127158.0 104191.0 107249.0 \n", "2026-08-14 -239376.0 -75000.0 -8826.0 -2583.0 217117.0 29189.0 329110.0 \n", "2026-08-21 -210444.0 -75000.0 -10048.0 -2583.0 82549.0 43237.0 243198.0 \n", "2026-08-28 -239280.0 -75000.0 -10261.0 -2583.0 194466.0 59950.0 370153.0 \n", "2026-09-04 -228337.0 -75000.0 -10895.0 -2583.0 217502.0 127158.0 119738.0 \n", "2026-09-11 -189636.0 -75000.0 -8614.0 -2583.0 100823.0 217117.0 359298.0 \n", "2026-09-18 -171676.0 -75000.0 -9175.0 -2583.0 210708.0 82549.0 260682.0 \n", "2026-09-25 0.0 0.0 0.0 0.0 0.0 194466.0 0.0 \n", "2026-10-02 0.0 0.0 0.0 0.0 0.0 217502.0 0.0 \n", "2026-10-09 0.0 0.0 0.0 0.0 0.0 100823.0 0.0 \n", "2026-10-16 0.0 0.0 0.0 0.0 0.0 210708.0 0.0 \n", "\n", " Ch12Cash Ch14Rev Ch14Cash \n", "2026-06-05 0.0 152616.0 0.00 \n", "2026-06-12 0.0 132093.0 38154.00 \n", "2026-06-19 0.0 189809.0 71177.25 \n", "2026-06-26 166746.0 163949.0 118629.50 \n", "2026-07-03 358742.0 189603.0 159616.75 \n", "2026-07-10 340973.5 104617.0 168863.50 \n", "2026-07-17 297699.0 97180.0 161994.50 \n", "2026-07-24 337461.5 84354.0 138837.25 \n", "2026-07-31 302148.0 168671.0 118938.50 \n", "2026-08-07 243170.5 42691.0 113705.50 \n", "2026-08-14 300016.0 107133.0 98224.00 \n", "2026-08-21 231259.0 95468.0 100712.25 \n", "2026-08-28 114630.0 61877.0 103490.75 \n", "2026-09-04 218179.5 80415.0 76792.25 \n", "2026-09-11 286154.0 77544.0 86223.25 \n", "2026-09-18 306675.5 96078.0 78826.00 \n", "2026-09-25 244945.5 0.0 78978.50 \n", "2026-10-02 239518.0 0.0 63509.25 \n", "2026-10-09 309990.0 0.0 43405.50 \n", "2026-10-16 130341.0 0.0 24019.50 " ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "CH10 Total Rev => Cash: 1965082.0 => 1965082.0\n", "CH12 Total Rev => Cash: 4428649.0 => 4428649.0\n", "CH14 Total Rev => Cash: 1844098.0 => 1844098.0\n" ] }, { "data": { "text/html": [ "
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Ch10CashCh12CashCh14CashAccPayFixCostVarCostFinCost
2026-06-050.00.00.00-153511.0-75000.0-8769.0-2583.0
2026-06-120.00.038154.00-193634.0-75000.0-9579.0-2583.0
2026-06-190.00.071177.25-165583.0-75000.0-9883.0-2583.0
2026-06-260.0166746.0118629.50-199709.0-75000.0-10725.0-2583.0
2026-07-03153082.0358742.0159616.75-144453.0-75000.0-10529.0-2583.0
2026-07-1098231.0340973.5168863.50-251304.0-75000.0-8524.0-2583.0
2026-07-17103059.0297699.0161994.50-177533.0-75000.0-7926.0-2583.0
2026-07-2471678.0337461.5138837.25-227537.0-75000.0-10243.0-2583.0
2026-07-31152142.0302148.0118938.50-169196.0-75000.0-9486.0-2583.0
2026-08-07104191.0243170.5113705.50-170433.0-75000.0-9120.0-2583.0
2026-08-1429189.0300016.098224.00-239376.0-75000.0-8826.0-2583.0
2026-08-2143237.0231259.0100712.25-210444.0-75000.0-10048.0-2583.0
2026-08-2859950.0114630.0103490.75-239280.0-75000.0-10261.0-2583.0
2026-09-04127158.0218179.576792.25-228337.0-75000.0-10895.0-2583.0
2026-09-11217117.0286154.086223.25-189636.0-75000.0-8614.0-2583.0
2026-09-1882549.0306675.578826.00-171676.0-75000.0-9175.0-2583.0
\n", "
" ], "text/plain": [ " Ch10Cash Ch12Cash Ch14Cash AccPay FixCost VarCost FinCost\n", "2026-06-05 0.0 0.0 0.00 -153511.0 -75000.0 -8769.0 -2583.0\n", "2026-06-12 0.0 0.0 38154.00 -193634.0 -75000.0 -9579.0 -2583.0\n", "2026-06-19 0.0 0.0 71177.25 -165583.0 -75000.0 -9883.0 -2583.0\n", "2026-06-26 0.0 166746.0 118629.50 -199709.0 -75000.0 -10725.0 -2583.0\n", "2026-07-03 153082.0 358742.0 159616.75 -144453.0 -75000.0 -10529.0 -2583.0\n", "2026-07-10 98231.0 340973.5 168863.50 -251304.0 -75000.0 -8524.0 -2583.0\n", "2026-07-17 103059.0 297699.0 161994.50 -177533.0 -75000.0 -7926.0 -2583.0\n", "2026-07-24 71678.0 337461.5 138837.25 -227537.0 -75000.0 -10243.0 -2583.0\n", "2026-07-31 152142.0 302148.0 118938.50 -169196.0 -75000.0 -9486.0 -2583.0\n", "2026-08-07 104191.0 243170.5 113705.50 -170433.0 -75000.0 -9120.0 -2583.0\n", "2026-08-14 29189.0 300016.0 98224.00 -239376.0 -75000.0 -8826.0 -2583.0\n", "2026-08-21 43237.0 231259.0 100712.25 -210444.0 -75000.0 -10048.0 -2583.0\n", "2026-08-28 59950.0 114630.0 103490.75 -239280.0 -75000.0 -10261.0 -2583.0\n", "2026-09-04 127158.0 218179.5 76792.25 -228337.0 -75000.0 -10895.0 -2583.0\n", "2026-09-11 217117.0 286154.0 86223.25 -189636.0 -75000.0 -8614.0 -2583.0\n", "2026-09-18 82549.0 306675.5 78826.00 -171676.0 -75000.0 -9175.0 -2583.0" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Predicted closing cash balance after 16 weeks: $4,505,288\n" ] } ], "source": [ "##############################\n", "# STUDENTS! YOUR CODE GOES HERE!!\n", "# Run and verify your model with a single simulation\n", "##############################\n", "# You can use this to test your implementation of the function above.\n", "\n", "# =========================\n", "# INSERT START\n", "# Purpose: Run one detailed simulation to check signs, timing, and forecast schedule logic\n", "# =========================\n", "\n", "\n", "rnd.seed(888) # fix Step 3 output so PDF report can quote the number\n", "single_run_balance = cash_forecast(model, first_forecast_week, forecast_weeks, True)\n", "\n", "print(f\"Predicted closing cash balance after {forecast_weeks} weeks: ${single_run_balance:,.0f}\")\n", "\n", "# =========================\n", "# INSERT END\n", "# =========================" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 4 — Monte Carlo Simulation\n", "\n", "Run the simulation repeatedly to generate a distribution of possible outcomes.\n", "\n", "- Execute a sufficient number of simulations (e.g., 500 runs) to ensure stable results.m\n", "- Store forecast cash balances\n", "- Prepare results for analysis" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[np.float64(4505287.75), np.float64(4203396.25), np.float64(4189671.25), np.float64(3224971.75), np.float64(4555432.0), np.float64(3991813.25), np.float64(3600278.0), np.float64(4444646.25), np.float64(3855631.75), np.float64(3779354.5), np.float64(4023828.25), np.float64(4998402.75), np.float64(3167621.5), np.float64(3422006.25), np.float64(3930590.25), np.float64(4380476.0), np.float64(4278388.75), np.float64(4391804.25), np.float64(4209851.5), np.float64(4754692.75), np.float64(4351043.75), np.float64(4495706.0), np.float64(3890933.0), np.float64(3724468.5), np.float64(4584674.25), np.float64(4329639.0), np.float64(4252523.25), np.float64(4349028.5), np.float64(5286800.5), np.float64(3534646.5), np.float64(2759894.75), np.float64(4222580.5), np.float64(3100561.5), np.float64(5044699.25), np.float64(4216697.0), np.float64(3783296.25), np.float64(3563792.0), np.float64(4269363.25), np.float64(4501309.5), np.float64(4310014.75), np.float64(4462688.0), np.float64(3605190.0), np.float64(3877670.0), np.float64(3992337.75), np.float64(3988629.0), np.float64(4194968.0), np.float64(4438617.5), np.float64(4465887.75), np.float64(4677954.0), np.float64(3795922.75)]\n" ] }, { "data": { "text/html": [ "
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Closing_Cash
04505287.75
14203396.25
24189671.25
33224971.75
44555432.00
\n", "
" ], "text/plain": [ " Closing_Cash\n", "0 4505287.75\n", "1 4203396.25\n", "2 4189671.25\n", "3 3224971.75\n", "4 4555432.00" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "##############################\n", "# STUDENTS! YOUR CODE GOES HERE!!\n", "# Use repeated simulations to generate a distribution of possible outcomes.\n", "# Run multiple simulations and store the results\n", "##############################\n", "\n", "# Initiate an empty list to store forecast cash balances\n", "forecast_balances = []\n", "\n", "# =========================\n", "# INSERT START\n", "# Purpose: Run 500 Monte Carlo simulations and store forecast closing cash balances\n", "# =========================\n", "# Run nsim simulations\n", "rnd.seed(888) # add seed so 500 simulations are reproducible\n", "for _ in range(nsim): # nsim = 500 from cell 1\n", " forecast_balances.append(\n", " cash_forecast(model, first_forecast_week, forecast_weeks)\n", " )\n", "\n", "simulation_results = pd.DataFrame({\n", " 'Closing_Cash': forecast_balances\n", "})\n", "\n", "# =========================\n", "# INSERT END\n", "# =========================\n", "\n", "# Preview the first 50 simulation results\n", "print(forecast_balances[:50])\n", "display(simulation_results.head())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 5 — Visualisation and Interpretation\n", "\n", "Use the simulated results stored in “forecast_balances” to visualise and interpret outcomes.\n", "\n", "### Visualisation\n", "\n", "**Required:**\n", "\n", "- Create a histogram (using plotnine) to show the distribution of simulated closing cash balances\n", "\n", "**Recommended:**\n", "\n", "- Use additional visualisations (e.g., density plots, boxplots, or time-series charts) to enhance interpretation\n", "\n", "**Expectations:**\n", "\n", "- Visualisations should be clearly labelled and easy to interpret independently\n", "- They should directly support your analysis and conclusions\n", "\n", "### Interpretation\n", "\n", "- Interpret the distribution of outcomes using your visualisations\n", "- Identify and discuss key patterns such as variability, skewness, downside risk, and uncertainty ranges\n", "- Clearly state any assumptions or limitations in your model\n", "- Ensure conclusions are explicitly supported by visual evidence" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Parameter Validation Plots\n", "\n", "These charts support the parameter choices made in Step 1. They are placed here\n", "in the visualisation section to keep Step 1 focused on parameter construction.\n", "\n", "- The A/P comparison chart shows why a fortnightly-equivalent (halved) input is\n", " used rather than spiky direct weekly resampling.\n", "- The fixed vs variable chart shows which cost accounts stay flat (modelled as a\n", " constant) versus which fluctuate (modelled as a min/max range)." ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "image/png": 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06NDBXvbGG2/0e1l/TZs2zV5/QkKCycvLM8YYs3PnTq/XVZgYCVRqaqr9GdavX9/nxcryJkAmT57stVzRH4aB8veEePXq1aZx48YBtfPS2lAgiiaky/rXuHHjEtdV9IfLBx98YGrVqlXmOocNG1ZmgiEUCZDS2uTevXu99hW+EpUlmTdvntfr+/XXX33O5/l++ZOsKUswEiDp6eklJgh8/Zs4caLJzs4uNa6i7SA5OdlrP1T0X6gSINOnT/fr+3jxxRfb+62SBJIAOXbsmF8Jxlq1apkZM2aU+7uenZ1tLrroojK3ExERUeIFkspIgLz//vv285ZlBXTB1jMxWb9+fXPy5Em/l/UlFO+hp9Iu+vn616ZNG5OUlFTmess6tsydO9evfZAvX3zxhdeya9euLTZPeRMgK1euLDGx5PmvU6dOfiVBcnJyzPjx48tcn2VZ5k9/+lNIEyChaudlxXzy5ElTt25d+/mnnnrK75gPHz7sdeHv5ZdfLnHe77//vsTER9F/0dHRZubMmaVuOysryyv54s+/iRMn+v3aSpOUlBTwfu7KK68s81gXqN27d5v27dsHFMff//53n+sq+n06efKkGTlypF9t7ciRI8aYguO/P9/h3r17+3WTmNvtNr/97W/9fm3du3c3e/fu9eu9+/HHH72+92W1uQ8++MDnekKRAElLSzNDhw4tcz21a9c28+bN8+v1HjlyxOtmnbL+XXPNNWWexxTdP3/77bclvqdOJUC+//77EhPKnv8SExPLvKGv6LlJUlKSX9dnmjZtajZu3FjqukmAAMFFCSyElaioKN1222167LHHJBV0W58zZ46mTJkSlPUbY3Tddddp1apVkgoGEDznnHOUkJCg9PR0LVy4sFg5kKuvvtpr0ObY2FhdfPHFGjJkiBo2bKjU1FR98803WrRokaSCskxnn322li5dWmoJlwULFmjcuHE6efKk/bfmzZtr/Pjx6t69uxo0aKD09HStX79ev/zyiz2ugaeWLVuqY8eOOn36tA4cOGD/vaRu2S1btvTjXfJt9OjR2rhxo6SCQS7/8Ic/+JyvcADMon8ryeLFi5WVlSVJioiI0Jlnnulzvp07d+rMM8/0ep3t27fXpZdeqs6dOysiIkKbN2/WRx99pIMHD0qSnnnmGdWtW1d//OMfS31tDzzwgP70pz/Z05GRkTr//PN1xhlnKD4+Xmlpafrpp580e/ZsSQVdtUePHq01a9ZUePDgHTt26JxzzlFycrIkqV69evrqq680ZsyYcq3vpptu0o8//ihJ+vXXX7Vjxw6/uunPnz9fO3futKd/85vflGv7pfnXv/5lP54yZYpdrql9+/YaMWKEFi5cKKmgDNZ5550X8Pq//fZbu4TeueeeG9SyIXl5eV7ToSo15en06dO67LLLvAZdHz16tEaNGqWWLVsqKipKx44d07Zt27R06VKtXLkyaAOhzpo1S48++qg93aBBA1188cXq27ev4uLilJubq6NHj2rdunWaP3++V7ssy4YNG/Tqq68qJydHDRo00OTJk9WnTx9ZlqW1a9fq448/1rFjxyQV7B8mTJig2bNnV1p5nrLaZKtWrXTeeedp1qxZkgrKut1www1+rduzBFyXLl10xhlnBDl63+rXr2/vB/w5XsTFxXlNZ2dn66yzzrKPnZIUHx+vyZMnq1evXsrLy9OqVav0n//8RydOnJAkffbZZ7riiiv05Zdf+hVjTk6OJk2apJ07dyoiIkLnn3++Ro4cqcaNG+vIkSP68ccf5XK5gn7cmzdvnp5++mnl5eWpbdu2mjBhgrp06SLLsrRu3Tq99957yszMlCTNnDlTr7zyin73u9/59ZpKY4zRZZddpmXLltl/a9iwoa644gr16dNHERER2rhxoz7++GMdOnRIN910k+64445ybeuOO+6wywOOGTNGZ599thISEnTs2DF9//33+uGHHyRJ+fn5uvnmmzVixAi1atXKax1xcXH2e7xjxw777y1atFBsbGy54ipq4sSJuuuuu5SWlmYPIv/kk0+WuZwxxuv4MnnyZNWuXTsoMRUKxnvoi2VZGjBggBITE9WxY0c1bNhQp0+f1qZNmzRz5kzt2bNHUsF5x0UXXaR169ZVqOTPyJEj1aZNG3u977//vt/7offff99+3KtXr6CVVElNTdUll1yilJQU1a9fX5dddpkGDBigOnXqKDk5We+//7527dolSdq+fbtuv/12ffHFF6Wu85ZbbtHXX39tT8fGxmrixIkaPHiwYmNjtW3bNn3yySfavXu3HnjggTLPE8urMtt5UbVr19all16qGTNmSCr4/B5++GG/lv3444/t856IiAhdeeWVPuebOXOmLr/8cq/SikOHDtW4cePUqlUrZWVlafny5frPf/6j06dPKzs7WxMnTtSPP/6oUaNG+Vzno48+ah9fJalt27YaP368unbtqnr16unkyZM6ePCgVq9erXnz5tnHnGCrW7euzjjjDA0aNEgJCQmqXbu2jhw5omXLlunrr79Wdna2JOmjjz5S8+bN9eKLLwZlu8YYTZ482T4HkaTBgwfr7LPPVtu2bRUTE6Pjx48rOTlZy5cv1+LFi+0Srf647bbbNH/+fLlcLl144YUaNWqUGjVqpL179+qDDz6wS9Ju375dd911l2bMmKFJkyZp2bJlcrlcuuCCCzRq1CjFxcUVWyYpKUkPPvigXn311VJjuOuuu/Taa6/Z09HR0br00kuVmJio2rVra+vWrfr444+1b98+SQWlKUeOHKmVK1eWWtZowYIFuuiii+zPRpIGDBigSy+9VC1atNDhw4c1a9YszZ8/X1LBecfUqVMVHR2tCRMmeK0rNjbWPubt37/f/q3aqFGjYudInsuUxO12a8qUKVq6dGmxc5zDhw/ryy+/1JIlSyQVlO6aOnWqNm7cWGr5zbS0NJ155pnatGmT/beEhARddtll6tGjh2JiYrRjxw795z//sY/b7733nmJjY/XGG2+UuF5PO3fu1EsvvaQTJ06ofv36mjBhgvr166c6depo37599m/OyrRp0ybdfffdyszMVNOmTTVx4kT17NlT0dHR2rRpk2bMmKFDhw5JkpYsWaKHH37Y7/EbT506pUmTJunAgQOKjIzURRddpJEjR6pu3brauXOnPv74Y7ttHjp0SOecc45WrlypZs2ahez1FuV5Tr979257X920aVPVq1fP5zI1rZQmwphzuRfAWzB6gBhjzOLFi73Wc9ttt5W5PX/vhCz816hRI/PTTz+VGcsrr7zitdw555xj9u/f73Pe999/36t00v3331/ieo8cOeJVQsSyLPP444+XWD7L7XabefPmmbPPPtvn86Huum+MMZ988om9/vr165d494jnHT2F3WQjIiJKvCPI886IgQMH+pwnLy/Pq1RORESEeeGFF3yWIcrMzPS6Wz8qKsqsW7euxNf1zTffeL13/fv3N1u2bPE5708//eR1l9vkyZNLXK8/3881a9Z43fEYHx9fZrfnstpYdna2V7mHhx9+uNT1Fbr22mvtZbp27erXMoFYsGCBV+wrV670ev7111+3n4uJiTHp6ekBb2PChAn2Okoqf1LeHiC9evXy+v5VpEyXMf7dEfTOO+/Y89SuXbvMfer+/fvNY489FtAdvSXxvDvwjDPOMEePHi1xXrfbbRYsWGBuueWWEufxvHOrsPfEGWec4fNO3oMHD5ozzjjD63N66623Slx3MHuA+NsmP/vsM6/4yuoRZkzBvsmzdMSzzz5b4rzB7gHiqTzHi/vvv99rmYsuusikpaUVm2/Pnj1m0KBBfn92vnoVtG3b1qxevTokr6OQ53KF38c//vGPPu/iLXonbtOmTUstgedvD5A33njDK45Ro0aZ1NTUYvNlZGSYSy65xCvWQL7rhcvEx8eXuA/597//7dVz8/e//32J6zam7ONQSfx5b+666y57njZt2vi1r/3ll1+8YiosJVQRoX4PR48ebR588MFS78rMzc0106ZN81qvr7JTnvw5tni258aNG/tV2u3YsWNevXWfe+45n/OVpwdI4ft7/vnn++xBffr06WK9b0o7r5s9e7bXvL169TLbt28vNl9WVpa59dZbi7WtQPcnpQllO/dnHzhr1qxSz71K4tnbb9y4cT7n2bt3r1cJpcaNG5tZs2b5nDc5OdnrPKpDhw4+e2mdPHnSq2zR3XffXer+Nisry3zyySfmmWee8et1lSUpKcn07NnTzJgxo9ReZPv27fM6T7Isy6xfvz4oMXjuz1wul/nwww9Lnf/IkSPmxRdfNJ999pnP5z33ZYX7khYtWvgsZ5ydne3Vc8qyLHPvvffay/g6Hyq6TGRkZKmVEIp+J7t06WI2bNhQbL5Tp055HTMkmalTp5a43hMnTniVGI2IiDCvv/66z3k/++wzr/1Z48aNS+3Z7e9+rSjP/XFhu+7QoYPP3nPGFFQj8Hy9f/vb30pd/6RJk7zm/7//+z9z6tSpYvPl5OTYn2Phv5LaatHXW/jvnHPOqXDvd1/K0wOk8L28/vrrffYST0tL8zoXjYqKsnsz+eL5PStcd/Pmzc2yZcuKzZudnV2s91Jp38tQ9ADx5O/7B4QLEiCoMoKVAMnKyvIqRVFS3dnyJkAsy/KrW+nRo0e9LladeeaZZdb9f/PNN+35Y2JiSjzY3n333V4x/eMf/ygzntJURgLk0KFDXtso6UJ9Yaksl8tlpkyZYs9fUlkez5OskkpleV4cl2TeeOONUmPNy8szZ555pj3/5Zdf7nO+3Nxc07p1a3u+rl27mmPHjpW67qI/rEv6wVPW93P+/PledX1bt25tNm/eXOq2jfHvhMjzJLd169ZlXkA6fvy413f9T3/6U5lxBOrGG2+019+9e/diz6elpXm1+0DbRHZ2tt092+VymcOHD/ucrzwJkDVr1ngtM3To0IBi88WfE+JrrrnGnqesi2nBlJOT41Xjt7QLTf4qWse7ffv2pSa50tPTTbt27ez5ExISStz/BisBEkibzMnJMc2aNbPnfeihh0p7+cYYY95++22vH+YlJdONqVoJkJSUFK/k/qBBg0od6+rQoUOmZcuW9vxNmzYtsTxI0QRITExMiQnoir4OT0V/2N9zzz2lzv/zzz97zV9amT5/LvLn5eV5lVfo0KFDqceerKysYqU7AznviYqKKjO57rm/ad68eanzlvdcz5/3Zt26dV7r92c8L8/YfR1fyiPU72EgNe0ffPBBe72NGzcutf35c2wpWuanrJJExngn5C3LMnv27PE5X3kSIJLM4MGDS03EHD161Gv//MADD5Q4r2epngYNGph9+/aVOK/b7fZZ2iwYQt3O/dkH5uXleR2r/DmXKFqWdMaMGT7nu/LKK+15YmNjy0xcHzx40GtcjaLjGhrjva8tK9kcCtnZ2X7f4JKZmek15sKdd94ZlBgeeeQRe50TJkyo8PqK7stq1apV6nldSkpKsTHnoqOjA1qmpMSDMcarvGj9+vVLHbcuPz/fjBs3ziuWNWvW+Jz3L3/5i9d8f/nLX0pcrzHGfPDBB36fBwQjAVK4P9q1a1epy3j+fk1MTCxxvu+//95r3X/84x/LjOeqq67yOpcrSdH9c8+ePQMeh8Vf5UmASDKXXXZZqevdsmWL12+Z0r6TRRNtkZGRpY536na7zWWXXea1TEntgwQIEFwuAWEmOjpazZs3t6c9y78Ew+WXX66RI0eWOd8///lPuzxVZGSkpk+fXqw8VlE333yzXRIgKytL//73v4vNk5GRoXfeeceeHjdunG677bZAXoIjmjRpoh49etjTvspaHTp0yC6T1a9fP1166aWlzp+dna2lS5fa06NHj/a57Zdfftl+PGbMGN1yyy2lxhoREeG1zFdffWV3hfX02Wefae/evfb0G2+8UWZpiXPPPVfjx4+3p998881S5/flm2++0XnnnWeX+enatasWLlyorl27BrwuX2666Sb78d69e/Xzzz+XOv8nn3zi9V2/9tprgxJHoVOnTumTTz6xp6dOnVpsnkaNGunCCy+0p999992AtjFnzhy7DMKwYcMqXJqsUFpamq677jqvvxXtJh8qKSkp9uNOnTpVyjYl6fDhw17lFEKx7WeeeUYNGzYs8fmGDRvqmWeesadTUlL07bffBj2OQoG2yaioKK928u9//9suv1YSz/JX48aNU4sWLYIQeei9/fbbXuVNXnnlFUVHR5c4f5MmTfTss8/a04cOHdLnn3/u17buuusudenSpfzBlkPjxo29vmu+jB071qvElmc5m/L4/vvvvcp3Pf3006Uee6Kjo/XCCy+Ue3s33XSTBg0aVOo8N998s/344MGDXsfGytS7d28NHjzYnvZsN75kZmbqs88+s6dDUb5RCv57WFqJ1KIefPBB1alTR1LBOfHKlSv9XtaXXr16qW/fvva0Z2mrknzwwQf241GjRql169YViqGoV155pdQSHXFxcZo4caI9XVIb3Lhxo9dz999/f6ll8CzL0l//+teQlFis7HbuS9HyVR999FGZxyrPz7pOnTpe5/KF9u/fr08//dSefuCBB9SvX79S15uQkKCHHnrInvZ1/ux53tOuXbsyf3cFW61ateRy+Xd5pW7dunrwwQft6cIyuRUV6nO/2267Tb179y7x+WbNmunss8/2+tutt94a0DIltc9FixYpKSnJnn7wwQfVvn37EtfrcrmK7Rv+8Y9/+JzXs6RTz549yyxVOWXKFI0dO9ae/te//qXTp0+XukxFPfjgg2rbtm2p83geR1avXl2sBG+hl156yX7cqVMnPfXUU2Vu/8UXX7TfyxUrVmj16tV+RC09//zzAR2zQi0yMlJ///vfS52nS5cuXmX2Ajlvu/HGGzVw4MASny88bnh+Lz2v7QAIHRIgCEueF8bS0tKCuu5rrrnGr/k8x/246KKL/BpHQfK+uOvrwvPs2bO96tXed999fq23KvA8kZgzZ06x5z2THGPGjPFKaPia33P8D5fL5XP8j7Vr13rVNvW39nr//v3thE1ubq5d79WT52fcr1+/EusRF+X5HSoruVDUe++9p8suu8w+yR44cKAWLFgQ1IsJPXr00LBhw+zpsi4geZ60nX/++UpISAhaLFJBoqmwhr5lWbr66qt9zuf5vi5dutTrcy+LZ61vzwRVeWRnZ2v79u169dVX1a9fP61du9Z+rkWLFkGrz10Wzxr2hWMMVfZ2Q7HtRo0aeV3IKsnll1/uVevZ8zMOpvK2yaKJxp9++qnEebdt26YFCxbY02VdpN21a5dMQS9fu/a9UzwTT3379tXQoUPLXGby5Mlen52/ySt/j8/BdMUVV/g1hoXn696yZUuFtlk4XoRUMMaMP0nVMWPGqE2bNuXa3vXXX1/mPIMHD/Ya26iir7EiPNvWF198YScmffnoo4906tQpSQUXRUL1HXLyPaxTp44SExPt6YomQCR5HYdnzpxpH6N9OXjwoH755RefywZD9+7dNWTIkDLn83wPSnpvPS9CW5bl1w0dnTp1Csl4TJXdzkvi+XkdOHDA5/m4J8+E2KWXXmon3zx9+umnXmOE+Hte5Nk+161bpyNHjng973n+sWnTJmVkZPi1XqecddZZ9uPt27eXuq/yl+d7sHjx4gqvryh/9pEDBgwIeJn+/fvbj0tqn57nApGRkbrxxhvLXG/Hjh117rnn+lxHoW3bttnjkEgFxxB/xuq7/fbb7cfp6ekhP9cuekOVL577uezsbJ/ngOnp6V77ujvvvNOv19usWTOdc8459rQ/v2GbNGlSrnEZQ+mcc87xa1xTf44ZvngmoUrStm1br+9lqH6jAPBGAgRhyXPAr9J+lJWH54XhkmRmZnrdoTJu3Di/1+/5I2758uXFnve8CNagQYNyD3btBM+ExoIFC4oNuueZABk9erSaNm2q7t27S5LWrFlT7IeB5/z9+vVTgwYNim2zcGBsqeBHlueJW1nK+iw8T3TL+xlv2rTJ7wEYX375ZV133XX2j8YxY8Zozpw5Qeut4KnoBaSSfkRu3brV630Ixd2zngmYM844o8S7ny688EKvi6aB9AIpHJxWKkhY+uuJJ56QZVle/2JiYtS5c2fdeeedXnfw1q9fX19//bXPiwGh4PljcsaMGXryySftnjqh1LBhQ7Vr186evu6660q9uB+oMWPG+DUYX1RUlNc+x1cbrqiKtMkuXbp4JW1LSzR6PtekSZMKJ+kqS15entcdgv7uJ2vVquXX3aCe6tWrp169egUeZAX5k9CR5NVjp6IX5TwvYA8dOrTUHjWFLMvyeZNAWaKiorz2JSWJiYnx2v86eeFxypQp9n729OnTXjcrFOXZti688MKQDERaFd5DzxsT9u/fX+H1XXXVVfad7qdPny51UHHPXgPR0dG6/PLLK7x9T8Fsg55tq2PHjn5dJJPkV8/wQFVmOy/N4MGDvXrWldbjZ/Xq1V43n/jqsSt5n5sPHjxYjRs39iuWJk2aeJ1fFD2ue/YiyczM1MUXX+xoMrYsnu3SGKODBw9WeJ2e+5pff/1Vv/3tb4N2M2BUVFSZPXUkee1Hy7NMSe3T81xg4MCBfv/+ueCCC+zH+/btK/Y+Fz3H8PdcZdy4cV69vyrau7M07dq18+v4VLR3sK/3cvHixTLG2NPBvE7ha35/kiuVKZTnbXFxcaX2/vDkmQDZsWOH0tPT/VoOQPmRAEFY8kx6lFWSKBD169f362Rr/fr1Xhf3Cy/i+8Pz5ObQoUNepUMkef2w6N+/f0i63YeK58XI48ePa9WqVV7PFyY0IiIi7B9whcu43e5ivTCKJkx88bz7vk2bNsXuTi+N52exb98+r+cOHjzoVRarvJ+x2+326wfPI488onvuucc+Yb3kkks0a9Ys1atXz+/tBmLy5Mn2urOyskq8gOR58ahp06ZeZaiCYdeuXV6fc0k/pqWCi6ZXXHGFPf3ee+8VS7L5kpSUpN27d0uS2rdvr549e5Y/4BKce+65WrNmTbG74kLp+uuvV61atezpxx57TM2bN9eUKVP0zjvvaPv27SHbtmeZuf379+ucc85Rly5d9Ic//EHfffddhe5yDOQit+e8wb4IEow26XmX2JdffunzB5bb7fYqhzh16lS/EkBVwb59+7xKQpRWAqOownKQUsGdsZ4/1n1p3769I8dDfy+YeyY+K5qITE5Oth8HcuwJZN5CcXFxfn/fgvkaK6JevXqaPHmyPV1ScnHLli1ed0iHqvxVKN/D1NRUvfzyy5o4caK6du1qb6toYt7zonUw7jJv2bKlV6/X0i6Kez534YUXllq+sDyC2QYrs22VpSrF4tkL5LPPPrN7Xxfl+Vk3bdq0WCmkQp7n5oHGW9q5ebt27bwuKv7666/q3r27RowYoWnTpmnRokXKyckJaHvltWzZMt13330aO3asWrVqpXr16snlcnm1y6L7hWC0zYkTJ3ollP7xj3+oZcuWuuSSS/Taa69pw4YNZR5PSxIXF+dXWTHP31r+LuNP+9y2bZv9uLznE0XXU3Q6OjpanTt39mu9devWVYcOHUpcbzCVZz8n+X4vPdtfVFRUQKXSSmt/vvhbAaMyhfK8rby/USR59UICEBokQBCWPC8ixcXFBW29/l7YKjruyKhRo4r9GC3pX9EfAkUviHmuO9ilhkLNs0eH5J3AOHTokJ3c6d+/v92bwzOx4Tm/v+N/eL5fycnJfn8OlmXpT3/6k71saZ+DVHCXu7/rLVoupay7Snbv3q2nn37anp4yZYo+++wzv+4GLK86depoypQp9rSvC0j5+fleF2avueaaoF+Yfffdd+0farVq1dKkSZNKnd+zm/3Bgwf9qqlckfJXjRo1UseOHb3+FZYQu+KKK/T8889r8+bNmj17dql1ikOhbdu2+uc//+l151VmZqY++ugj3XjjjercubNat26tm266yecYOxVx3333ed1xJxX8MPzLX/6iCy+8UHFxcRo6dKimTZsW8FgBTZo0Kde82dnZJV60CVSw2uTll19uXwzMysrShx9+WGye2bNne92xHaqLtKFQ9G62pk2b+r2s52fndrt1/PjxUucPVTK4LOWpa13ei0+FPC+SefYYKEt5LjyXt253RV9jRXn2YiypJKJn+cZmzZoV22cFSyjew5ycHD344INq06aN7rnnHn3++efaunWr0tPTS6z5XihY+8GiJVtTU1OLzbN161avngyl3cRQXsGsLV+Zbas6xeL5uR0/ftyr12wht9vtdbPMlVdeWeKFb89z6OnTpwd0bu557u/r/Pntt9/2Ot8yxmjRokV6+OGHNWLECDVq1Ejjxo3TW2+9FfQqAVLBd3706NEaOnSo/vznP2vOnDnav3+/Tpw4UeZ+MRhts27duvrwww+9khBZWVmaOXOm7rjjDvXq1UvNmjXT1VdfrW+++cavG4UKlaetBfMY6XlOUd7ziaLrKTrduHHjgHoseK47lHfwB/M44tn+cnNzFRkZ6Xf78yz75U+vCKfOzUoTyvO28v5GkUL7/QFQgAQIwk52drbXAHDBLA/k72B6wbiDp1BhbepCnifrnqW+qouSEhol9eYoaX5/xv+QgvdZFP0cQvkZF1V4N2ehVatW+RyUPdg8LyAtW7bMHqC+0OzZs70G6Az2hVljjFeCpWiJK19GjBjhdTdWWeOXSBVLgNx9993avn27178NGzZo0aJF+vjjj3XfffcFbXD68rj22mu1YMGCEstz7Nu3T2+//bbGjBmjxMRErV+/PijbjYyM1MyZM/XXv/5VzZs3L/a82+3WsmXL9PDDD6tjx4763e9+5/cPf3/GWyhUtMeXv+XmyhKsNhkbG6urrrrKnvb1ffX82+DBgx0p81ReRe+YC6QHXtG7GMv67Cp7sFsnZWdn2489e3mVJZRJ86pm2LBhXr35irat/Px8vffee/b0tddeW22+Q/n5+br88sv17LPPFrubPSIiQk2bNlWbNm28EvOeF6GClZy6/PLL7QtJ+fn5PnuKevYIaNiwYdB7iQZbVWpbVSmWDh06eJUA9tXjZ968eV7J+tKSXaE6N5ekVq1aacWKFbrzzjt9HnNOnTql2bNn6+abb1a7du30+uuvByUWSdq4caNGjBihefPmFXuudu3aat68udq3b+/VNj0Fq22ec845WrFihcaPH+9zUPbDhw/rgw8+0Pjx49W7d2+f4xxWRZ7nFME8nyjveouuO1jnmKEWyvZXVHU5rgZLVfiNAqBkNWuPhBph5cqVXj8IK7PkTKGiB7T27dv7PAH1R9ETB88fsdXxQDlq1Cj94x//kFTQNT0/P18RERFegyp6Jj0Ke41s2rRJa9asUUZGhho2bOiVDOnbt2+Jd7x5fhaFPz7Ko2hN1aKfcatWrcr9o7OsO1FatGihRx55RDfffLOMMdqyZYvGjh2ruXPnhqReeaHBgwerb9++dlfp6dOn64UXXrCf97ygNHToUHvQ+GCZO3euVwmIL774IuASN19//bXS0tJK7Al2+PBhu2ZvvXr1QlLH22mJiYmaN2+etmzZou+++05z587VwoULi/ViWrp0qT2vv/VrSxMREaF77rlHd955p+bMmaMff/xRv/76q1asWOF1h3Jubq7+9re/ac2aNfrxxx/LvNDjzw+uQkUvwAcraRzMNnnzzTfrtddek1RQT3nDhg32hdu0tDTNnDnTnrc69f6Qir/fVeGzCwf169e3a7oHch4Qirudq7Ibb7xRv//97yUVlER85pln7HOq77//3qv8ZHVqW2+88YZX4r5v37666667NHr0aLVr187n3cvXXXed1w0FwVC/fn1ddNFF+vTTTyUVXBT/3e9+5zXPBx98YD+eNGlSQBfyneBZNtfptlXV2vnVV19tl4z77rvvlJ6e7nVTimdSpEuXLho8eHCJ66pdu7bdq69x48bl7rVS0k0xcXFx+vvf/65p06Zp1qxZ+vnnn/Xrr79q8+bNXvOlpaXp9ttv1+7du/Xss8+WK4ZCxhjdcMMN9sDslmXpmmuu0VVXXaVBgwb5HOfEGFPu34dl6d69u2bOnKm9e/fq22+/1Zw5c/Trr78WK7u7adMmnXXWWfryyy+rfIKybt269sX7YJ5PeE4Hst6i664u5ymev2Fr1aql1q1bl2s9rVq1ClZIYYPzXKBqIwGCsPPDDz94TTtxQbPoSe7s2bP9ricayLo9e7pUF57JjczMTK1cuVJDhgzxOf5HoTFjxmjTpk32OCAXX3yxX+N/SN7vV79+/bwGXqyIop/xO++8E9AA64G68cYb5Xa7deutt8oYo82bN2vMmDGaO3duQN3Ay7Pdu+++W1LBBaRnn31WkZGROnr0aMgvzPrTe6Ms2dnZ+vDDD3XHHXf4fP7bb7+1B2c977zzqvzFmYro2rWrunbtqnvvvVfGGK1evVqff/653n77bXtfcvLkSd18883FxuepiMjISJ1zzjl2+zhx4oR+/vlnffDBB/r888/tZMj8+fP1j3/8o9gFtKIOHz7s97Y9542Ojg5qqZRgtcl+/fppwIAB9ns+ffp0/fnPf5ZUcPGw8C7g2NhYr7J01UHRi1Pl/excLldQx/Oq7uLj4+0Lo4GUkPOnXnc4ufbaa/XAAw8oJydHKSkp+v7773XRRRdJ8j6+DBs2TN26dXMqzIC9/PLL9uOzzz5b3377bZnHrlANSj916lQ7AbJ8+XJt27bNPt9dunSp11hToSh/FWyevcadbltVrZ1PnjxZ9957r3Jzc5WTk6NPP/3UHscqOztbn332mT2v55ghvjRu3NhOgNx6662aNm1aSGKuX7++Jk+ebI8JlJKSom+//VbTp0/3+j3wpz/9SZMnT/ZrsO6SLFmyxGsQ7Lfffls33HBDqcuEql16at26tW677TbddtttkgoSHl999ZX++c9/aufOnZKkvLw83Xzzzdq5c2dQz5OCrVGjRnYCpLznE4XrKWk6LS1Nbrfb78SU57oDKVXnJM/fsPHx8SEdE7CmCeb3UlK5xrbzHHsPgDdKYCGs5OTk6I033rCno6KiSr04HipFS94UveOoIjzvsl+9erXjdbYD1axZM68LDXPnzlVqaqr9Hg0YMKDYha6iZbD8Hf9D8v4stmzZErT3q0WLFl53agTzMy7JzTffrH/84x/2ydCmTZs0duzYgE62AjV16lT7x1BqaqpmzZolqeBOv8KeVrVr19aVV14Z1O1mZmZ6/Zhu2rRpsbE2SvvneTdhaYmUipS/qs4sy9KAAQP09NNPa9u2bV6J4tWrV/uslx8sdevW1SWXXKKPP/5YCxYs8Oou7nm3cEkCKdPlOW8oSpEFq016lpt777337KSQ5xgFEyZMsMdGqi5atmzp9fkmJSX5vey6devsx506dXJkgPOqynPw19WrV/u9XCDzhoPGjRvr0ksvtacLjwVHjhzx2vdXp94f+/fv9xoo9emnn/Yrce/ZmzKYLrjgAq8elp69ADwft2nTpsRSpVWJZ9tKSkrye3yEULStqtbO4+Pjdd5559nTnp/vt99+63Uxv6wEiOfxuDLOnwslJCToxhtv1IIFC7wSicYYn2NwBeKXX36xH3fr1q3M5IcUunZZmu7du+uBBx7Q5s2b7cSQVDBunmdv/KrIc7Du8p5PSCp2U6LnerOysvwezPzEiRN2EsnXeqsqz/Z38ODBoJZ1runK+xtFKug5V5Rnbx1/e5f4Go8LQAESIAgrzz33nFeviGuuuSakJYJK0qxZM6+Ti++++y5o6/b8AXns2LGgnKwWHbi68I74UCma0CirN0fR+YuO/1FaL59Ro0bZj48ePep1d1ZFREZGasSIEfZ0MD/j0tx666169dVX7YuBGzZs0NixY+0u98HWqFEjTZgwwZ4uvIDkmVSYOHFi0O/O/uSTT7xO9H744YdiY22U9q+wzJpUUBbP1wlpTk6O3WPM5XKFbADcqq5u3bpeFwIkhTQB4mno0KG65ZZbAtru3LlzlZubW+Z8ubm5XnW4SyvHURHBaJNXX321/SPn0KFD+u6777R27VqvC1nV6SJtocjISK8ylN9//71fy+Xm5urnn3+2p4cOHRr02Cr7uBdMiYmJ9uONGzf6dbEmLS1Nv/76ayjD8ptnac9Qv++eycWvv/5aR44c8Urg16lTx+siYFXnOe6WVFD+qiyHDx/Whg0bQhJPVFSUJk2aZE8XXhTPz8/XJ598Yv/9qquuqhZJTM+2dfz4cb/OsfPz830OCh7MWKpKO/dMbMyfP9/umeJ580JiYmKxsS2K8jw3/+mnn4qNZVMZ7r77bq/2U9HzHs+26U+7lORowiEqKsrrBg6p8s79ysvzXGDFihXFSrmWpPDmLamgR0zRcshFzzH8PVeZPXu21411JZ2reJ5vVIVzDc/2Z4zx+/WibOnp6VqxYoVf83pWLenYsaPPHiCeN/QVPf6XZMmSJX7NJ1W97yYQaiRAEDa+/PJLPfHEE/Z0ZGSk/vjHPzoWj+cPwvfeey9o2fjzzjvPaxyQwlIpFVG05mSo7wTxTGgsWLDA60LXmDFjis3fpEkTu+fL2rVr9eWXX9rPlTb+h1Rw0bNdu3b2tOcYFhXl+RnPnj272B1GoXL77bfrlVdesafXr1+vs846y+8fAoHyvID0zTff6Mcff9SaNWvsv4W6/FXXrl39/jFZaPz48V53zfjqBTJnzhy7rvawYcO8Sl/UNEV7R3iO0VGZ2/Znu+np6V69g0ry6aefKj093Z4uLH0TChVtk/Xr19fll19uT0+fPt3rO9u+fXuf+8bqwLOm+Jo1a/xKQn/yySd26Zei6wiWyj7uBdPkyZO9ynP86U9/KnOZv/zlL5Xarkvj+d6H+n0/++yz1b59e0kFibX333/fq21dfvnlXudUVV3RXqyFN4OU5rXXXgvphQ3P0lbbt2/XsmXL9NNPP3md91aH8ldSQY8Wzxs6nnvuuTKXeeedd0LSE7cqtvNLLrnEbi+FvSaOHTumb7/91p7Hn8964sSJ9ms7fvy43nzzzdAEXIZAzz9K49k2/WmXeXl5XlULnNCoUSM1adLEnq4qx4iSeJ4L5OXlefWSLUlycrJmz57tcx2FOnXq5PVdeOutt/zaZ77++uv240aNGmnYsGE+56vMY54/EhISdMYZZ9jTf/7zn6tdRYmq7K233ipznt27d+vHH3+0p0v6jeLZK2T//v1+lTgMpIR0VftuAqFGAgTV3okTJ/TQQw9pwoQJXicrf//73726tFa2u+++2y79cfLkSU2dOtWvu5Y9+TqBrl+/vtcF6VmzZnmdgJVH27ZtvaYD6b5ZHp53nmRmZmrGjBmSCsb/8Dwh81SYNHG73V4/lDzX5UtERIT+8Ic/2NOfffZZwGNLlPRD5pprrlHLli0lFfzwmTp1asCDT/rzI8mX3/72t/r73/9uT69bt05nn32210XDYBk9erTdlnJzc3XNNdfYz3Xs2LHMzyBQ27Zt86rNXJ7yWnXq1PE6mXz//feL/bDzLIESyovjTtm9e7ff8xYtJVB0nxCItLS0gNqB57b93e6DDz5Yau3sjIwMPfjgg/Z0s2bNQv4ZV7RNFtZSlwrKiXgOWHz99dcHdPd0u3btZFmWLMvySgA74Te/+Y3XHWZ33313qXf7Hj161OvmhaZNm+qyyy4LelyVfdwLptatW3uV7Js+fbo+//zzEuefO3eu/vKXv1RGaH7xfO9D/b5bluWVpH/22We1du1ae7q69axq06aN17TnhWdfkpKS/LqIXxEjRozw2s+8//77XuWR+vbtq549e4Y0hmCpXbu2V+min3/+WS+99FKJ82/cuFH3339/SGKpiu08NjbWa3/8/vvv67PPPrPPZSMjI3XFFVeUuZ7OnTt79S5+8MEHAyppJPk+f963b5/fyT5jjNf+pyLnPZJ325w/f36ZA9c/9thjfpdaCkQg534HDx70ulGjou9BqA0bNkx9+vSxp5955plSX6/b7dZdd93l9fu7cCyUojx7I69fv97rfM6XTz75RD/99JM9fd1113mV/PRUmcc8fz3wwAP24xUrVnjdROqP/Pz8Kp8wc8rbb7+tlStXlvi8McYeT6nQjTfe6HPe/v37e51Dv/3226Vu+7PPPis2Hm5pquJ3EwglEiCollJTUzVz5kzdc889atWqlZ555hmvOxfuu+++Ek9wKkuTJk30/PPP29M//fSTxo4dW2at28zMTH344YcaPny4PvroI5/zPPLII2rdurU9/dvf/lZPPfWUPViuLwsWLPCq3eupYcOGXncYPPbYYzp06FCpcVZEQkKC1502hYN1DRw4sMQ7MT17jXgO7uXPGC+33HKL1105N910kx555BGdPHmy1OW2b9+uJ554osQfBLVq1fLqPp6UlKTExMQy73DOysrSzJkzNW7cOL/u6CvJnXfe6VW6aM2aNTr77LO97noPBsuyvE7MPO/qDPTCrD+KJqjKW57Ec7nU1NRiZco8LxyF4/gfY8aM0WWXXabZs2eXWsd8//79Xj/8EhISKlQuat26dWrbtq0efvjhMn/cf/HFF153Sl188cVlrt/lcik5OVnjx4/32bMuJSVF48eP165du+y/Pf30015ld0KlIm3yjDPOsMdHys3NtZdxuVy6/vrrQxJvZWjWrJl+//vf29NLly7V5MmTfd5ptm/fPl1wwQVeA/4+88wzfo1xEKjKPu4F24svvmhfbHG73Zo8ebIeeughHTx40J7nyJEjeu6553T++ecrOztb3bt3dypcL55lQl5//XWvhEQo3HDDDYqIiJDkffzq1KlTqSU0q6KEhAT16tXLnv6///u/Estb/fLLLzrrrLOUlZXl94C+5WFZlq666ip7+qOPPtIXX3xhT1eX3h+FHn/8ca/yuffee69uvfVW7dixw/5bZmam3njjDY0YMULp6ekha1tVsZ17fp7r1q3TM888Y0+fd955Xj0KSvPnP//ZHj8mMzNTI0eO1AcffFBqAsMYoyVLlujmm2/2Gt+n0FtvvaXu3bvrtddeK7UMZX5+vv74xz9q48aN9t/8Of8ozTnnnGM/Tk9P1w033OAzSZOdna2HHnpIzzzzTEja5fXXX6+xY8fq888/L/Umq4yMDF1zzTX2+WF0dLTOPffcoMcTbJ6/mzIyMjRu3Dht2bKl2HxZWVm6+eabi/VOKqlH+W233eZVuu3//u//SrzY/NVXX3mdlzVu3NgroVCU5zFv7ty5+uSTTxzvcXHhhRd69Tx+4okndOutt5bZc3n//v168cUX1bFjR796I9Q0LpdLeXl5Gj9+vM9SWDk5Obrrrru8jpFXX32115hPnurXr+9VovlPf/pTiaXzPvroI02dOjWg3+We382PP/64yo8DBFRU6K8GAOV09dVXe91JYYxRZmamjh07VuLdow0aNNALL7zgdSetk+68806tXr3a7qK7YMEC9ejRQ6NGjdKZZ56pli1bqlatWjp27Jj27Nmj1atXa/HixXYiw/OipKdGjRrpo48+0rnnnquTJ0/KGKNHH31U//jHP3TxxRere/fuatCggTIyMrRhwwb98ssvXoO0+XL99dfbd0zPmTNHzZs3V7t27bwSEoMGDfKrW6c/Ro8eXeyEtbQSL74SHWWN/1EoKipKn3zyiUaMGKE9e/bI7Xbr6aef1quvvqpx48ZpwIABaty4sX3RcdOmTVq2bJlftXDHjx+vxx9/XI899pikgrsBhw4dqiFDhmjMmDFq27atYmNjdfz4ce3fv19r1qzRokWL7DvDPGs8l8fdd98tt9ute++9V1LB4JfnnHOOfvrpp1JLgwXq+uuv1yOPPOJ1t08oLsy63W6999579nTv3r3L/WP+ggsuUL169ezeCO+++679AzcpKcm+QN6+fftqc3dqINxut7788kt9+eWXio+P14gRIzRgwAA1bdpUsbGxOnr0qFasWKGvvvrKa7yV559/vsI/ytPT0zVt2jRNmzZNPXv21LBhw9S1a1fFxcXJ7XZr7969+vHHH7V48WJ7mSZNmuj//b//V+a67733Xr322mtasGCBunXrpsmTJ9s/aNeuXauPPvrI6+L6OeecU+KdVaFQkTZ544036r777vP621lnnVXsru/q5oknntCPP/6oVatWSSooWdm5c2ddeeWV6tmzp/Ly8rR69Wp98sknXr2HLrnkkpB+dpV93AumDh066J133tHVV18tt9utvLw8PfPMM3r22WcVHx+viIgIHTp0yL6YOGLECN1www12D9LChIATrr/+ersn54EDB9SvXz81b95c8fHxXvsez1KLFdGyZUuNGzeuWG8JfwYproruv/9+uydmamqqBg4cqIkTJ2rYsGGqU6eODhw4oB9++EHz58+XVHAc7datm/7zn/+ELKapU6faF8I9E4kul0tTpkwJ2XZDoWHDhvr44491/vnn2zfcvPnmm3rzzTcVFxenmJgYpaam2heOO3XqpOeff96+kSKYF7WrYjs/66yz1Lx5czsJ45kYCiTZ1bZtW3344Ye65JJLlJWVpYyMDF199dV65JFHdN5556lbt25q0KCBTp48qcOHDyspKUmLFi2yt1tS7+OtW7fqjjvu0O9+9zv7fLxt27Zq2LChTp8+ra1bt2rmzJlecY8dO1bnn39+ed4O28CBA3XWWWfZZX0//fRTLVu2TFdeeaW6dOmi3Nxcbd68WZ9//rmd5H/88cf16KOPVmi7RRljNHfuXM2ZM0f169fXiBEjNHDgQDVv3lx16tRRRkaG1q1bpy+++MLr5oyHHnrI5xgEVc24ceN0xx136NVXX5Ukbd68Wf369dNll12mxMRExcbGatu2bfroo4+8bqZo3759sfHuPNWuXVvvvvuuzj77bGVnZys/P1833XSTXn/9dV1yySVq0aKFjhw5olmzZnmNXelyufTGG2+UOuboxRdfrLi4OKWlpdmJzFtvvVUtW7b0ujnnrbfe0qBBgyrw7gTmnXfe0bZt2+ybEN58803NmDFD48aN0+DBg9WkSRMZY5SRkaGtW7dqxYoVWrNmjePJm6pswoQJWr9+vTZv3qxhw4Zp/PjxGjlypOrWraudO3fqo48+UnJysj1/y5Yty+y599BDD+nrr7+W2+3W6dOndfbZZ2vixIkaOXKkYmNjtW/fPn3zzTd2wuWJJ56wr0uU5aqrrtLjjz+unJwcnTx5UmPHjlWTJk3UrFkzr+PHd999pxYtWpTjHQGqGANUEdOnTzeSyvWvWbNm5oEHHjCpqanl2l7btm0rPF9pHnvsMeNyuQJ+Xf/+979LXe+yZctMQkJCQOssSXZ2thk7dmypy44aNapcr9+XDz/8sNj6Z82aVeoyPXr08Jq/X79+AW0zJSXFDBs2LODPwbKsMtf95ptvmujo6IDX/eSTT/pcX6DfuxdffNFrvYMGDTIZGRnF5vOcZ86cOWWu19Mll1zitfx5550X0PL++P777722MW3atAqtb+rUqfa6oqKizOHDh40xxkybNs3++9133+33+pKTk73ie+yxxyoUX3k99thjZbbLtm3bBvw9f+aZZyoc25w5cwJuBwkJCWbNmjUlrtPztUyfPt188MEHplatWmWuNzEx0WRmZpYab6iOBf62SU+HDh0yUVFRXst9+OGHZW7LU25urqlbt669/CWXXBLQ8mUp+vn6Ky0tzSQmJvr9nZgwYYLJzs4udZ3+tIPSlPe4V579qL+xXnfddfZ81113XZnr/eSTT0yjRo1KfQ0XXXSRycjIMK+//rr9t9KOn+U97ynaTkvz0EMPlfkdKCrQ98bTF1984bXuiIgIs2/fvoDWEYhQv4e/+c1v/GpHHTp0MNu2bfP7vatIm+rfv3+x7Y8dOzagdYwaNcqv46u/83kKdN81Z84c06pVq1Lf36FDh5p9+/Z5nbs0bNjQz1frv1C08/Luy40x5t577y22/bp165qTJ08G/NoWL15smjdv7vexobTvluf3199/w4YNM2lpaQHH7cu+fftM69at/druddddZ9xud7mOJ6XxbBv+/rv99tuN2+32ub7y7Mt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"text/plain": [ "" ] }, "metadata": { "image/png": { "height": 500, "width": 800 } }, "output_type": "display_data" } ], "source": [ "###### A/P fortnightly vs weekly equivalent vs direct weekly → overlay three lines\n", "\n", "###### fortnightly total → 2-week sum (matches Step 1 base)\n", "ap_fortnightly = (\n", " cash_outflows[\n", " (cash_outflows['Account_Number'].isin(AP_ACCOUNTS))\n", " ]\n", " ['Cash_Outflow']\n", " .resample('2W-FRI').sum()\n", ")\n", "\n", "###### weekly equivalent → SAME as Step 1: /2 then ffill to every week\n", "ap_weekly_equivalent = (ap_fortnightly / 2).resample('W-FRI').ffill()\n", "\n", "###### direct weekly resample → spiky, real per-week A/P\n", "ap_direct_weekly = (\n", " cash_outflows[\n", " (cash_outflows['Account_Number'].isin(AP_ACCOUNTS))\n", " ]\n", " ['Cash_Outflow']\n", " .resample('W-FRI').sum()\n", ")\n", "\n", "###### build one long table, each series keeps its own dates → connected lines\n", "ap_fortnightly_df = pd.DataFrame({\n", " 'Posting_Date': ap_fortnightly.index,\n", " 'Amount': ap_fortnightly.values,\n", " 'Series': 'fortnightly_total'\n", "})\n", "ap_weekly_eq_df = pd.DataFrame({\n", " 'Posting_Date': ap_weekly_equivalent.index,\n", " 'Amount': ap_weekly_equivalent.values,\n", " 'Series': 'weekly_equivalent'\n", "})\n", "ap_direct_df = pd.DataFrame({\n", " 'Posting_Date': ap_direct_weekly.index,\n", " 'Amount': ap_direct_weekly.values,\n", " 'Series': 'direct_weekly'\n", "})\n", "\n", "ap_long = pd.concat([ap_fortnightly_df, ap_weekly_eq_df, ap_direct_df])\n", "\n", "plot_ap_compare = (\n", " ggplot(ap_long, aes(x='Posting_Date', y='Amount', color='Series'))\n", " + geom_line()\n", " + geom_point()\n", " + scale_color_manual(values={\n", " 'fortnightly_total': 'palegreen',\n", " 'weekly_equivalent': 'black',\n", " 'direct_weekly': 'red'\n", " })\n", " + labs(title='Direct weekly A/P is spiky; fortnightly halving gives a smoother input',\n", " x='Week', y='Cash outflow ($)')\n", " + theme_minimal()\n", " + theme(plot_title=element_text(ha='left'), figure_size=(8, 5) )\n", ")\n", "display(plot_ap_compare)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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2026-05-293000.04500.020000.015000.040000.0
\n", "
" ], "text/plain": [ " Acc_0000472000 Acc_0000478100 Acc_0000500000 Acc_0000510000 \\\n", "Posting_Date \n", "2026-03-13 6000.0 5000.0 20000.0 15000.0 \n", "2026-03-20 6000.0 5000.0 20000.0 15000.0 \n", "2026-03-27 3000.0 4500.0 20000.0 15000.0 \n", "2026-04-03 6000.0 4500.0 20000.0 15000.0 \n", "2026-04-10 6000.0 5000.0 20000.0 15000.0 \n", "2026-04-17 3000.0 4000.0 20000.0 15000.0 \n", "2026-04-24 6000.0 3500.0 20000.0 15000.0 \n", "2026-05-01 6000.0 4000.0 20000.0 15000.0 \n", "2026-05-08 3000.0 4500.0 20000.0 15000.0 \n", "2026-05-15 6000.0 4500.0 20000.0 15000.0 \n", "2026-05-22 6000.0 5000.0 20000.0 15000.0 \n", "2026-05-29 3000.0 4500.0 20000.0 15000.0 \n", "\n", " Acc_0000520000 \n", "Posting_Date \n", "2026-03-13 40000.0 \n", "2026-03-20 40000.0 \n", "2026-03-27 40000.0 \n", "2026-04-03 40000.0 \n", "2026-04-10 40000.0 \n", "2026-04-17 40000.0 \n", "2026-04-24 40000.0 \n", "2026-05-01 40000.0 \n", "2026-05-08 40000.0 \n", "2026-05-15 40000.0 \n", "2026-05-22 40000.0 \n", "2026-05-29 40000.0 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "###### exploratory: weekly behaviour per account → support fixed/variable classification\n", "fv_accounts = [ ACCT_SHIPPING, ACCT_WAREHOUSING,\n", " ACCT_DIRECT_LABOR, ACCT_FACTORY_OH, ACCT_SGA]\n", "weekly_by_account = (\n", " cash_outflows[cash_outflows['Account_Number'].isin(fv_accounts)]\n", " .groupby('Account_Number')['Cash_Outflow']\n", " .resample('W-FRI').sum()\n", " .unstack(0)\n", ")\n", "\n", "weekly_by_account.columns = ['Acc_' + col for col in weekly_by_account.columns]\n", "\n", "\n", "display(weekly_by_account)\n", "#The table is also the evidence of the variation data from the above comments" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": { "image/png": { "height": 500, "width": 800 } }, "output_type": "display_data" } ], "source": [ "###### combine 5 plots → one facet plot for compact comparison\n", "###### melt to long format → so plotnine can facet by account\n", "weekly_long = weekly_by_account.reset_index().melt(\n", " id_vars='Posting_Date',\n", " var_name='Account',\n", " value_name='Outflow'\n", ")\n", "###### tag each account as Fixed or Variable → so color can show the pattern\n", "fixed_accounts = ['Acc_' + a for a in [ACCT_DIRECT_LABOR, ACCT_FACTORY_OH, ACCT_SGA]]\n", "weekly_long['Type'] = ['Fixed' if a in fixed_accounts else 'Variable' for a in weekly_long['Account']]\n", "\n", "###### map account numbers to readable names → so facet titles are clear\n", "account_names = {\n", " 'Acc_' + ACCT_DIRECT_LABOR: 'Direct Labor (500000)',\n", " 'Acc_' + ACCT_FACTORY_OH: 'Factory OH (510000)',\n", " 'Acc_' + ACCT_SGA: 'SG&A (520000)',\n", " 'Acc_' + ACCT_SHIPPING: 'Shipping (472000)',\n", " 'Acc_' + ACCT_WAREHOUSING: 'Warehousing (478100)'\n", "}\n", "\n", "weekly_long['Account_Name'] = [account_names[a] for a in weekly_long['Account']]\n", "\n", "plot_all = (\n", " ggplot(weekly_long, aes(x='Posting_Date', y='Outflow', color='Type'))\n", " + geom_line()\n", " + facet_wrap('~Account_Name', scales='free_y', ncol=3)\n", " + scale_color_manual(values={'Fixed': 'Black', 'Variable': 'Black'})\n", " + labs(title='Three fixed accounts stay flat while two variable accounts fluctuate',\n", " x='Week', y='Weekly cash outflow ($)')\n", " + theme_minimal()\n", " + theme(axis_text_x=element_text(rotation=45, hjust=1))\n", " + theme(\n", " plot_title=element_text(ha='left'),\n", " strip_text=element_text(ha='left'),\n", " panel_spacing=0.02,\n", " figure_size=(8, 5) \n", " ) \n", ")\n", "display(plot_all)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Simulation Results\n", "\n", "These charts show the distribution of closing cash across 500 Monte Carlo simulations, illustrating variability, risk, and how outcomes compare to the loan threshold.\n", "\n", "- **Histogram & density** — the spread and shape of closing cash across all simulations.\n", "- **Box plots** — the overall range and median, showing how far results sit above the loan target." ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 5.000000e+02\n", "mean 4.226819e+06\n", "std 4.522789e+05\n", "min 2.759895e+06\n", "25% 3.898593e+06\n", "50% 4.223973e+06\n", "75% 4.506279e+06\n", "max 5.582022e+06\n", "Name: Closing_Cash, dtype: float64" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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", 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"text/plain": [ "" ] }, "metadata": { "image/png": { "height": 500, "width": 800 } }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "P(can repay loan after 16 weeks) = 100.00%, median closing cash = $4,223,973\n", "See PDF report for full discussion of distribution shape, downside risk, and assumptions.\n" ] } ], "source": [ "##############################\n", "# STUDENTS! YOUR CODE GOES HERE!!\n", "# Visualise forecast_balances using plotnine.\n", "# A histogram of simulated closing cash balances is required.\n", "# Additional visualisations are highly recommended if they support your interpretation.\n", "##############################\n", "\n", "# =========================\n", "# INSERT START\n", "# Purpose: Produce required and recommended plotnine visualisations of simulated closing cash balances\n", "# =========================\n", "\n", "forecast_df = simulation_results\n", "forecast_df['Can_Repay_Loan'] = forecast_df['Closing_Cash'] >= model['OB_BankLoan']\n", "\n", "###### prob_repay → compute upfront so plot titles can use the live number\n", "prob_repay = forecast_df['Can_Repay_Loan'].mean()\n", "\n", "summary_stats = forecast_df['Closing_Cash'].describe() # One-click generation of statistical summary.\n", "display(summary_stats) # Use display() to explicitly render intermediate outputs, as In Jupyter Notebook, only the last expression in a cell is displayed by default\n", "\n", "# Required histogram: distribution of simulated closing cash balances.\n", "###### required histogram of closing cash; the dashed threshold line splits cannot-repay (left) from can-repay (right)\n", "hist_plot = (\n", " ggplot(forecast_df, aes(x='Closing_Cash'))\n", " + geom_histogram(bins=30, color='White')\n", " ###### vertical line at the loan threshold → splits cannot-repay (left) from can-repay (right)\n", " + geom_vline(xintercept=model['OB_BankLoan'], linetype='dashed', color='black')\n", " ###### label the threshold line → say what it is\n", " + annotate('text', x=model['OB_BankLoan']+20000, y=30,\n", " label=f'Loan threshold (${model[\"OB_BankLoan\"]/1e6:.2f}M)', color='black', size=9, ha='left')\n", " + labs(\n", " title=f'{prob_repay:.2%} of 500 simulations can repay the \\${model[\"OB_BankLoan\"]/1e6:.2f}M loan in {forecast_weeks} weeks',\n", " subtitle=f'Distribution of closing cash across 500 simulations over {forecast_weeks} weeks',\n", " x='Closing Cash ($)',\n", " y='Number of simulations'\n", " )\n", " + theme_minimal()\n", " + theme(plot_title=element_text(ha='left'), figure_size=(8, 5) )\n", ")\n", "\n", "\n", "\n", "display(hist_plot)\n", "\n", "\n", "# Recommended density plot: shows the overall shape of the simulated distribution.\n", "###### density plot → smooth version of the histogram, easier to see the shape\n", "###### single color because 498 vs 2 split makes a split density unreadable\n", "density_plot = (\n", " ggplot(forecast_df, aes(x='Closing_Cash'))\n", " + geom_density(alpha=0.5, fill='black') # single color (no comparison needed)\n", " ###### vertical line at the loan threshold → marks the repayment target\n", " + geom_vline(xintercept=model['OB_BankLoan'], linetype='dashed', color='black')\n", " ###### label the threshold line\n", " + annotate('text', x=model['OB_BankLoan']+20000, y=0.0000005,\n", " label=f'Loan threshold (${model[\"OB_BankLoan\"]/1e6:.2f}M)', color='black', size=9, ha='left')\n", " + labs(\n", " title=f'Most simulations end near \\${summary_stats[\"50%\"]/1e6:.2f}M, above the \\${model[\"OB_BankLoan\"]/1e6:.2f}M loan target',\n", " subtitle=f'Distribution shape of all {nsim} simulation outcomes over {forecast_weeks} weeks',\n", " x='Closing Cash ($)',\n", " y='Density'\n", " )\n", " + theme_minimal()\n", " + theme(plot_title=element_text(ha='left'), figure_size=(8, 5))\n", ")\n", "display(density_plot)\n", "\n", "# Recommended boxplot: compactly summarises median, spread, and downside range.\n", "###### boxplot (one box for all simulations) → fairer view since False group only has ~5 points\n", "box_plot = (\n", " ggplot(forecast_df, aes(x='\"\"', y='Closing_Cash')) # x = empty → single group\n", " + geom_boxplot(fill='black') # fixed colour, no legend needed\n", " ###### horizontal line at the loan threshold → Closing_Cash is on the y-axis here\n", " + geom_hline(yintercept=model['OB_BankLoan'], linetype='dashed', color='black')\n", " ###### label the threshold line\n", " + annotate('text', x=0.7, y=model['OB_BankLoan'],\n", " label=f'Loan threshold (${model[\"OB_BankLoan\"]/1e6:.2f}M)', color='black', size=9, va='bottom')\n", " + labs(\n", " title=f'Median closing cash (\\${summary_stats[\"50%\"]/1e6:.2f}M) sits well above the \\${model[\"OB_BankLoan\"]/1e6:.2f}M loan',\n", " subtitle=f'overall spread, based on {nsim} simulations over {forecast_weeks} weeks',\n", " x='', # x axis label blank → no meaning\n", " y='Closing Cash ($)'\n", " )\n", " + theme_minimal()\n", " + theme(plot_title=element_text(ha='left'), figure_size=(8, 5))\n", ")\n", "\n", "display(box_plot)\n", "\n", "\n", "\n", "# Concise notebook interpretation. The PDF report should expand this discussion.\n", "###### prob_repay already computed at top → just print final summary here\n", "print(f\"P(can repay loan after {forecast_weeks} weeks) = {prob_repay:.2%}, median closing cash = ${summary_stats['50%']:,.0f}\")\n", "print(\"See PDF report for full discussion of distribution shape, downside risk, and assumptions.\")\n", "\n", "# =========================\n", "# INSERT END\n", "# =========================" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 6 — What-if Analysis and Decision-Making under Uncertainty\n", "\n", "Building on the simulation results from Step 5, we now move from analysis to decision-making under uncertainty.\n", "\n", "Use your simulation model to evaluate a business decision: when can the company repay its loan with a sufficiently high level of confidence?\n", "\n", "**Analysis Requirements:**\n", "\n", "- Use your simulation results to estimate the probability of having sufficient cash to repay the loan at different time horizons\n", "- Identify the minimum number of weeks required to achieve approximately a 90% probability (or another well-justified threshold) of successful repayment\n", "- Clearly explain how this probability is calculated using your simulation outputs (e.g., proportion of simulation runs where cash is sufficient)\n", "- Critically evaluate the 90% threshold in the context of the business decision, considering whether a higher or lower level of confidence may be more appropriate\n", "- Analyse the trade-off between earlier repayment (lower waiting time) and financial risk (lower probability of success)\n", "\n", "**Conclusion:**\n", "\n", "Provide a clear and well-justified recommendation on the specific week (or range of weeks) when the company should repay the loan.\n", "\n", "Your answer must:\n", "- Explicitly reference your simulation results\n", "- Justify your chosen timing using both probability and business reasoning\n", "- Acknowledge any key assumptions or limitations in your model" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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weeksprob
040.000
150.232
260.642
370.886
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\n", "
" ], "text/plain": [ " weeks prob\n", "0 4 0.000\n", "1 5 0.232\n", "2 6 0.642\n", "3 7 0.886\n", "4 8 0.956\n", "5 9 0.990\n", "6 10 0.998\n", "7 11 1.000\n", "8 12 1.000\n", "9 13 1.000\n", "10 14 1.000\n", "11 15 1.000\n", "12 16 1.000" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Loan to repay: $2,126,528, target confidence: 90%\n", "Recommendation: repay after 8 weeks, where P(can repay) = 95.6%\n" ] }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": { "image/png": { "height": 500, "width": 800 } }, "output_type": "display_data" } ], "source": [ "##############################\n", "# STUDENTS! YOUR CODE GOES HERE!!\n", "# Complete the what-if analysis.\n", "# Use simulation results to evaluate when the company\n", "# can repay the remaining bank loan with a sufficiently high level of confidence.\n", "##############################\n", "\n", "# =========================\n", "# INSERT START\n", "# Purpose: Analyse repayment feasibility under uncertainty\n", "# =========================\n", "\n", "# Define key repayment assumptions\n", "###### the bank loan we want to repay → from step 1 opening balance\n", "repayment_threshold = model['OB_BankLoan']\n", "###### 90% confidence → CEO target from the brief\n", "target_probability = 0.90\n", "\n", "# Analyse a range of possible repayment horizons\n", "\n", "whatif_results = []\n", "\n", "# Hint:\n", "# - For each forecast horizon, run multiple simulations\n", "# - Estimate the likelihood of having sufficient cash available\n", "# - Identify the minimum repayment horizon that satisfies the target confidence level\n", "\n", "###### search 1-16 weeks → matches base forecast_weeks; expand if 90% not reached\n", "horizons = list(range(4, 17))\n", "rnd.seed(888) ###### seed for reproducibility \n", "\n", "for weeks in horizons: \n", " balances = [] ###### collect 500 simulations for this horizon\n", " for _ in range(nsim): \n", " balances.append(cash_forecast(model, first_forecast_week, weeks))\n", " prob = (pd.Series(balances) >= repayment_threshold).mean() ###### P(can repay) = how many sims cleared the loan\n", " whatif_results.append({'weeks': weeks, 'prob': prob})\n", " \n", "# Convert results into a dataframe for analysis\n", "\n", "whatif_df = pd.DataFrame(whatif_results)\n", "display(whatif_df)\n", "\n", "###### filter horizons that hit the target probability\n", "qualifying = whatif_df[whatif_df['prob'] >= target_probability]\n", "\n", "\n", "# Identify an appropriate repayment recommendation\n", "\n", "print(f\"Loan to repay: ${repayment_threshold:,.0f}, target confidence: {target_probability:.0%}\")\n", "\n", "if qualifying.empty:\n", " ###### nothing hit 90% → tell CEO straight, don't show nan\n", " recommended_weeks = None\n", " best_prob = whatif_df['prob'].max()\n", " best_week = int(whatif_df.loc[whatif_df['prob'].idxmax(), 'weeks'])\n", " print(f\"No horizon reached {target_probability:.0%} within {max(horizons)} weeks\")\n", " print(f\"Highest achieved: {best_prob:.1%} at week {best_week}\")\n", " plot_title = f'No horizon hit {target_probability:.0%} within {max(horizons)} weeks (highest: {best_prob:.1%})'\n", "else:\n", " ###### week 1 looks safe only because of the one-time A/R inflow; take the earliest week that stays above 90% instead\n", " below_target = whatif_df[whatif_df['prob'] < target_probability]\n", " if below_target.empty:\n", " recommended_weeks = int(whatif_df['weeks'].min())\n", " else:\n", " recommended_weeks = int(below_target['weeks'].max()) + 1\n", " recommended_prob = whatif_df[whatif_df['weeks'] == recommended_weeks]['prob'].min()\n", " print(f\"Recommendation: repay after {recommended_weeks} weeks, where P(can repay) = {recommended_prob:.1%}\")\n", " plot_title = f'There is at least {target_probability:.0%} confidence to repay the loan after {recommended_weeks} weeks'\n", "\n", "# Create a visualisation to support your repayment recommendation\n", "\n", "###### prob vs week → easier to see than the table\n", "probability_plot = (\n", " ggplot(whatif_df, aes(x='weeks', y='prob'))\n", " + geom_line(color='blue')\n", " + geom_point(size=1.5, color='blue') \n", " ###### dashed line at 90% → shows the target\n", " + geom_hline(yintercept=target_probability, linetype='dashed', color='grey')\n", " + labs(\n", " title=plot_title,\n", " subtitle=f'500 simulations per horizon. Target: {target_probability:.0%}',\n", " x='Forecast horizon (weeks)',\n", " y='P(can repay loan)'\n", " )\n", " + theme_minimal()\n", " + theme(plot_title=element_text(ha='left'), figure_size=(8, 5))\n", ")\n", "\n", "###### red vertical dashed line + week label at the recommendation\n", "###### the existing grey horizontal line at 0.9 already serves as the horizontal crosshair\n", "if recommended_weeks is not None:\n", " probability_plot = (\n", " probability_plot\n", " ###### vertical dashed line from x-axis up to the curve at recommended week\n", " + geom_segment(\n", " x=recommended_weeks, xend=recommended_weeks,\n", " y=0, yend=recommended_prob,\n", " linetype='dashed', color='red'\n", " )\n", " ###### red point at the recommendation (decision anchor)\n", " + geom_point(\n", " data=whatif_df[whatif_df['weeks'] == recommended_weeks],\n", " size=5, color='red'\n", " )\n", " ###### grey label \"90%\" to the right of the threshold line, above it to avoid overlap\n", " + annotate('text', x=max(horizons), y=target_probability + 0.03,\n", " label=f'{target_probability:.0%}', color='grey', size=10, ha='right')\n", " ###### red label for the week number below the x-axis\n", " + annotate('text', x=recommended_weeks, y=-0.05,\n", " label=f'{recommended_weeks}', color='red', size=10, va='top')\n", " )\n", "\n", "display(probability_plot)\n", "\n", "\n", "# =========================\n", "# INSERT END\n", "# =========================" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Running week 8... base=96% stress=65% CI=[90%,98%]\n", "Running week 9... base=98% stress=69% CI=[93%,99%]\n", "Running week 10... base=99% stress=89% CI=[95%,100%]\n", "Running week 11... base=100% stress=88% CI=[96%,100%]\n", "Running week 12... base=100% stress=92% CI=[96%,100%]\n", "Running week 13... base=100% stress=99% CI=[96%,100%]\n", "Running week 14... base=100% stress=99% CI=[96%,100%]\n", "Running week 15... base=100% stress=100% CI=[96%,100%]\n", "Running week 16... base=100% stress=100% CI=[96%,100%]\n", "\n", "Baseline 90% first at week: 8\n", "Stress 90% first at week: 12\n", "Stress shifts window by 4 week(s)\n" ] }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": { "image/png": { "height": 500, "width": 800 } }, "output_type": "display_data" } ], "source": [ "# Sensitivity visual graphs:\n", "# Parameters:\n", "nsim_quick = 100 \n", "key_horizons = list(range(8, 17)) \n", "repay_thresh = model['OB_BankLoan']\n", "target_prob = 0.90\n", "\n", "# Create a stress scenario by lowering revenue assumptions and increasing cost assumptions.\n", "# This checks whether the repayment recommendation still holds under less favourable conditions.\n", "stress_model = model.copy()\n", "for ch in ['Ch10', 'Ch12', 'Ch14']:\n", " stress_model[f'{ch}_Rev_Min'] = int(model[f'{ch}_Rev_Min'] * 0.90)\n", " stress_model[f'{ch}_Rev_Max'] = int(model[f'{ch}_Rev_Max'] * 0.90)\n", "stress_model['AP_Min'] = int(model['AP_Min'] * 1.10)\n", "stress_model['AP_Max'] = int(model['AP_Max'] * 1.10)\n", "stress_model['Cost_Var_Min'] = int(model['Cost_Var_Min'] * 1.10)\n", "stress_model['Cost_Var_Max'] = int(model['Cost_Var_Max'] * 1.10)\n", "\n", "\n", "rows = []\n", "rnd.seed(888)\n", "\n", "for w in key_horizons:\n", " print(f\"Running week {w}...\", end=' ', flush=True)\n", "\n", " # Baseline\n", " b = [cash_forecast(model, first_forecast_week, w) for _ in range(nsim_quick)]\n", " p_base = (pd.Series(b) >= repay_thresh).mean()\n", "\n", " # Stress\n", " s = [cash_forecast(stress_model, first_forecast_week, w) for _ in range(nsim_quick)]\n", " p_stress = (pd.Series(s) >= repay_thresh).mean()\n", "\n", " # Wilson CI for baseline\n", " z = scipy_stats.norm.ppf(0.975)\n", " n = nsim_quick\n", " phat = p_base\n", " ctr = (phat + z**2/(2*n)) / (1 + z**2/n)\n", " marg = (z * np.sqrt(phat*(1-phat)/n + z**2/(4*n**2))) / (1 + z**2/n)\n", " ci_lo = max(0.0, ctr - marg)\n", " ci_hi = min(1.0, ctr + marg)\n", "\n", " rows.append({'Weeks': w, 'Baseline': p_base, 'Stress': p_stress,\n", " 'CI_Lo': ci_lo, 'CI_Hi': ci_hi})\n", " print(f\"base={p_base:.0%} stress={p_stress:.0%} CI=[{ci_lo:.0%},{ci_hi:.0%}]\")\n", "\n", "df = pd.DataFrame(rows)\n", "\n", "base_q = df[df['Baseline'] >= target_prob]\n", "stress_q = df[df['Stress'] >= target_prob]\n", "base_w = int(base_q['Weeks'].min()) if not base_q.empty else None\n", "stress_w = int(stress_q['Weeks'].min()) if not stress_q.empty else None\n", "\n", "print(f\"\\nBaseline 90% first at week: {base_w}\")\n", "print(f\"Stress 90% first at week: {stress_w}\")\n", "if base_w and stress_w:\n", " print(f\"Stress shifts window by {stress_w - base_w} week(s)\")\n", "\n", "\n", "long_df = pd.melt(df, id_vars='Weeks',\n", " value_vars=['Baseline', 'Stress'],\n", " var_name='Scenario', value_name='Prob')\n", "\n", "# Compare baseline and stress probabilities across key horizons.\n", "# This shows how much the 90% repayment window moves when assumptions worsen.\n", "plot1 = (\n", " ggplot(long_df, aes(x='Weeks', y='Prob', color='Scenario'))\n", " + geom_line(size=1)\n", " + geom_point(size=2.5)\n", " + geom_hline(yintercept=target_prob, linetype='dashed', color='grey')\n", " + annotate('text', x=max(key_horizons), y=target_prob + 0.04,\n", " label='90% target', color='grey', size=9, ha='right')\n", " + scale_color_manual(values={'Baseline': 'steelblue', 'Stress': 'tomato'})\n", " + scale_y_continuous(labels=lambda l: [f'{x:.0%}' for x in l], limits=[0,1])\n", " + labs(\n", " title=f'Stress scenario (rev -10%, cost +10%) delays 90% target from wk {base_w} to wk {stress_w}',\n", " subtitle=f'{nsim_quick} simulations per point | stress = revenue -10%, costs +10%',\n", " x='Weeks', y='P(repay loan)', color='Scenario'\n", " )\n", " + theme_minimal()\n", " + theme(plot_title=element_text(ha='left'), figure_size=(8, 5))\n", ")\n", "display(plot1)" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[1/25] rev=-20.0%, cost=+0.0% prob=79.5%\n", "[2/25] rev=-20.0%, cost=+5.0% prob=68.5%\n", "[3/25] rev=-20.0%, cost=+10.0% prob=49.0%\n", "[4/25] rev=-20.0%, cost=+15.0% prob=37.5%\n", "[5/25] rev=-20.0%, cost=+20.0% prob=24.0%\n", "[6/25] rev=-15.0%, cost=+0.0% prob=89.0%\n", "[7/25] rev=-15.0%, cost=+5.0% prob=82.5%\n", "[8/25] rev=-15.0%, cost=+10.0% prob=73.5%\n", "[9/25] rev=-15.0%, cost=+15.0% prob=70.0%\n", "[10/25] rev=-15.0%, cost=+20.0% prob=47.0%\n", "[11/25] rev=-10.0%, cost=+0.0% prob=98.5%\n", "[12/25] rev=-10.0%, cost=+5.0% prob=93.5%\n", "[13/25] rev=-10.0%, cost=+10.0% prob=87.5%\n", "[14/25] rev=-10.0%, cost=+15.0% prob=76.0%\n", "[15/25] rev=-10.0%, cost=+20.0% prob=67.5%\n", "[16/25] rev=-5.0%, cost=+0.0% prob=98.5%\n", "[17/25] rev=-5.0%, cost=+5.0% prob=97.0%\n", "[18/25] rev=-5.0%, cost=+10.0% prob=92.5%\n", "[19/25] rev=-5.0%, cost=+15.0% prob=89.5%\n", "[20/25] rev=-5.0%, cost=+20.0% prob=80.0%\n", "[21/25] rev=+0.0%, cost=+0.0% prob=99.5%\n", "[22/25] rev=+0.0%, cost=+5.0% prob=99.0%\n", "[23/25] rev=+0.0%, cost=+10.0% prob=97.5%\n", "[24/25] rev=+0.0%, cost=+15.0% prob=95.0%\n", "[25/25] rev=+0.0%, cost=+20.0% prob=93.0%\n" ] }, { "data": { "image/png": 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B2va+FKmQPDlS4VEywa7OscaSXXqStO4xyd6NMSRvmExWz9T+1s5zSopafudaLfcXHik1fClFm8oAtQwWa+Y4n1GStk2Tuk9qbtNyhqDxSCUnOtcKb5ZqP+14v4EDWD/PURrm+0bKti9iH+jdyH2qt7ept2ekJgRuUtA438FLrHKdFrhRL4ZvSbYf4TtHlkl9DvPjyD/0UfQZJRTTId5TdVLg+pT9I3znaF7sP3vc/xmRR/VB5NE29zfY1SnvW94QnB55UGsSzpjwUviXusH7tiRpsPckTWnx+bwKaGLwN5Kk9fFFmhFt+3qA2zCGMIYAe2qA5xgd6v9myrZlsff0Zuge1duV6uM5Umdk/VxZTeNIJ08fnR78mZ4P3SzJmZF3dtbtsownefz2xFa9GPqV1sbnq8B00fjgT1TuHSlJsoxHF2Tdqdu2j1FEe76EwvTww5oe/mub+xvsqpT3Q7zNM5DfCd+n1fFPJEkvhH6un/rec9r4TtHzoZ8m2/kU1HnB30mS1sUXanrk4T3uNwC4FQHh19xDDz2kV199VZJkWZYCgYA2bNigKVOmaPr06brtttvUs2fPXZwls+nTp+vee+9VLBaTJOXk5KiyslLTp0/XjBkzdP311+u449JnLz3//PN6/PHHJUmBQEDbt2/X1KlTtXjxYt19993Ky8tLO+aFF17Q+vXrNWnSJMJBtC0RlRI7mQ2X1S0lHJQkVX6Uut/f6gm5iqlS9ULndXirtGar7EHXyRgjSTK+XNkFQ6WquXuh/6GOzebzZje/bnlcpLr5tSf1SUB1PlbGXyTbTjglUney3gDgOp6gjGn11abmE2etQUlSlbTldannFa2Oy3X+118m42314E3VDKm+qRRxdJu05SXZPb7XPIZ4cmTnHuSEeh2Vf3jKWzu0zgn3dtjysuwel8tYzgwCYzxOadPKt5v6ndXctuUswGiL154W44wkFY6W8RU6Y0jl22IMAVIN8aaWtwrb9Xqq8WqFVSdJ2pxYrmxToNMCNybbjPCdqzfDf0yus5VvUr+rVCZWaXL45uT7TZHPVe45Qv29Rye35ZuyvdL/Rru2QzNxckxp8nVVovm4bYm1LdqkPgA4zv8jlVi9FbdjeiH0U9lK7EGPgQMLY4iDMQTYfcN9p6e8D9v1erT+8uQ4simxTNlWoU4P/izZ5kj/t/Rq6HdqVI16eg5VsdUj5RyvhG7XnOhzkqQKLdOmhqW6Ne/T5MMI+VZnjfSfqw8jqWuM7o5Gu6ZDs/lyW4wRLceOysTqFm1KU445NXCDSj3litsxPdvwP4wjALAHCAi/IjfffLMWLVqk2267TUOHDm3XMW+88YZeffVVGWN00UUX6Zvf/KYCgYBWrlypu+66S6tXr9ZvfvMb3XffffL5fB3qz5o1a5Lh4LHHHqsrrrhCRUVFqqqq0iOPPKL3339f9957r/r27asePZq/WNTX1+uf//ynLMvSjTfeqNGjR6u2tla///3vtXDhQk2ZMkUXXZS6KPCmTZv03HPPqVevXjrzzDM71E8gRWlqqTw7Vi9VLWje4MtQPiPUak2PWJ0Ur3dmE+5QMGjvBISFw6SiQ51Qz45K0e1Sw1pp26dSaFN6+1iLp/Na9r3l63iL8qmBzlJpU4nBytmZzwm4WbxBdiIqY7X4N9GOp7Zp/V6S4k2BWutwUJIiW9OuoURDanif3b/jAaG/s1MCtKX6VusZJsJS4xqp5RqDOQOaA8KWs5K9eZlft1zD1FfaHErWzpMi6WseAW5X1OqGWnViffKG3A4b46nrF/tNlgZ5T9D82IuSUm9uSVLMjqRdJ6Zw6nX2Unm9Eb5zdYTvAuWYEsUUUk1ik1bFZ+vj6D+0IbE4rX293TzGFVrdpaYhssh0T26va9GmzDpIx/qdhyxmRh/XhsSivdJv4EDBGOK8ZgwBdl+xlToJoCqxLm0cWR9fkvLeb7I02Hei5kYnpx0vSRsSqe1r7c2qtyuVZzoltw3zTtgrAeGR/gs02v9t5ZpSRRVSTWKjVsQ+0szIU1qXSP+dqa7F2oLFpnkMbRlybre3JF93tQbrhIBTcemDyKNal2hxTwgA0GGsQfg1FY1G9cwzz0iSTj/9dJ133nkKBJz1kPr06aNbbrlFwWBQGzdu1FtvvdXh8z/99NOKxWLq16+fbrjhBhUVFUmSioqKdMMNN6hv376KRqN6+umnU477/PPPFQ6HNXr0aI0ZM0bGGBUUFOiKK5wv+fPnz0+71l/+8hdFo1FdffXV8nrJpLGbfIVS03p9Sds+kexY8/tMN/5b34C3/OkzaprKBe4p4y+U8eXLWB4ZT1Am2Emm+HCZ/pdLZSenH1C7rPl16WgpWCb58qWyFvX/a1sEBt0nODOIIjXS5ul7pc/AAWd7q18Q8w+VAt2d0pqePKlkbMpuO7Zdalix4036+bytHjwwfsnKSt3mbzWzuT0CGY6JVu5ym7ECktf5NzvZb0kqGCH5OzufsbjF7P+WbUpPcsaQWK2z9iCANDE79aZ7vlUmj1IfxCu2eqUd18MzLPn6o+gzSrT4TtLFM1DH+7+vLBXIrxwd7j1HAzypVTpmRVO/c++uIquHCqyu8hq/giZfXTwDNcr/Hf0w52WdHrhFRial/ZLY28nXx/m/p27WEBWa7prQYlbC57F3JDWVLAveIY/xqSqxXm+F79orfQYOJIwhjCHAnoq2egCgIMM4UpJhHOnlOVRS+jjktE9doz2gXGWbopRtLcehPVFs9VSh1U1e41eWyVeZZ5COClyiH+e9qbOCv04bRxbF3ki+Hhu4Wj2sYSoyPXRm8Nbk9sVR576nkdEFWX+Ux/i0LbFOr4Z+t1f6DABuRkD4NbVgwQJVVVXJGKOzzjorbX+nTp2S5T+nTZvWoXPX19dr9uzZkqSJEyfK4/Gk7Pd4PJo4caIk6eOPP1ZDQ/Psg9paZ5ZF166pgUq3bt1S9u8wY8YMffLJJzrxxBN1yCGHdKifQIrSUanrgiWiUuUnqW0aN8i2W5XL63KClN3DWbvPVyj1+GbKeSTJeLMk07FZuB1lSo+UupyYurH2M9m1S539gWKZ/pfLDPqhTP4ASU3rK252au6reKRMdtOTuBtf3ytrJgIHpKoZsrcvSI4Fxpsn0/U8md4/lOl5uUxO89qfdrRKqvhPczAYqUgfQ4qOkgLdnIDRmy+VnpI+hniCzhjTEa2DRyl1tt/OtvmaZjo2LJPd4KzBanxFMt2+7XzGprUJ7Wi1VD3LaZt3qEygqfxY5dTdWzMRcIG1iXkp77NMvs4K3q4C000+BdXPc7TG+n+QdlyBaf5uvCnxmZ4KXZ2yVtdpgRt1S948/TJvkc7L+qM8TWNGzA7rpdAv9Vms4w/8ddTR/st0aouyhpK0KPaqFkfflCSVWn30w5yXdGPuBxrsHSfJKW34duQeSdIY3yT1bLr5+GLolr2yThFwoGEMYQwB9tSaeGp1oyxToPOz/qBC010+ZWmg51idHPhR2nEFVtem4+cpYaeW3JwQuEl9PEfKp6BKTC99O/tPyXFkhxyrSH61ehByLzsucEVKaVRJmh99SQujr0uSOnn66sd5b+iW/Nk6xHeKJGlLfKVeD/9RknSM/7vq7XUqojzf+FPGEQDYC5jO9TW1YIEzA6JXr14qLS3N2Oawww7Tm2++qaVLlyoUCikYDLbr3EuWLEmuO3jYYYe1eW7Jmcn42WefacSIEZKk/HznpuTGjRtT2u94v2O/JDU0NOiRRx5RXl6eLrvssnb1DcjIE3TKd7ZUtSD9xnmszllvsKi5rQkUS30nteMaASnW8Rvmdjws1S6V6ldKoS1O0OAvlkpGyuT2TW1cOkqq+lSKtFiUe83zsosPdz5foFQylrMeYe0yacuHzrqG3jwn6JRk1yyRtn/hzIQsPcopj+ordK4bqnBC09rUskWAuySkynelSKXs4uNkjCdjK7t+mbT1rdSgLF7vrDeYe3Byk/EVSl3P3/VlrYAUzzADsc32/gydynB8pm1WoPn15pdl5w11+uwrdsaQ2Hap4UupZrZTptSTKxWNcU5Xv0xqXOnMhCwY6ZQv9eY7M7AjW6Ta+VLD8vRrAi4xO/qsjvNfmfJU/QjfuRrhO3enxwVN6hrcn8Xe0sMN39Z3su5XqdUn4zFVifV6uvFqrc9QbqsjQvZ2LYm9pS9iH2hTYqliCqvElOso/yQN8B6b0vYY3+WaHfmnKu1VkiRbtp4OXa1R8e9ohO8cdbL6yyOvqu0NWhJ7S1PD9yukWuWbMp0cuEGStCD6ij6Pv6uAcnW8//s6xHuaiqweiiusDfHPNCv6pBbGXtmjzwTsrxhDGEOAPTUr8ozG+q9WjlWc3Hak/wId6b9gp8dlybkfV2tX6JPo8zrCf15yXydPH12XO2WX1w6afEXsxl22ay1kb9fC6OtaFntPG+OfK6qwOlnlOtZ/uQb5jk9pe7z/Ks2MPK2tiZWSnHHk7w2X6yj/JTrSd4G6eAbII6+2JdZpUewNvR36kxpVowLTVROCzkMK8yIvaknsbQWUq3GBazXM9w0VWz0UU0Tr44s1I/J3zYu+1OHPAQBuRED4NbV2rbPuQK9e6WUDdtixz7ZtrVu3Tv3792+zbaZzFxYWpgR6LRUUFKigoEA1NTVas2ZNMiAcNGiQ/H6/Zs2apVmzZmnUqFHavn27HnnkEUnS8OHDk+d45plnVFlZqWuvvbbN6wDtUjxCxtN8M922E1LlR5nbbnxdti9fJre8zdPZdiJtBlDGm/C70lghLb03fTZfuFLavlx2z7NkCloEDcaSXTDYCf6aL+yUSt3WajZkS91Ok/EEZMdD0sY3nXCg7yUywc4tGnmlnN5STm/ZWz6UKqZ2/PMABwJvvtTpdJlA5502MzkDZQd7SFvekEKrm3dUTpXtyZPJSl+7Y4e9M4aYdm7L1IFWb7YvSC+t2lLJWBkrIDsRlrZNc8aQsvNk/C0eQDJeKdhDCvaQXTNbqprRvr4AB5gGu0pPNF6pS7IeVrYpbLNdwo7LavEAQstyYEaWxgd+qqN935XVeqxoocjqrmuyJ2tm9HG9Gr5dCWUolb4LG+JLdEfd6LQn6LfoS33e+I4uDP5Zw3ynJ7d7jFdDfRM0LfJAcputhGZFn9Ss6JNtXufMwK8UNHlqtGv1UvgXCipPV2U/pzJPc/l3nwLq6x2lvt5RmhY+RG9Eft/hzwPs7xhDMmMMAdqv3t6mvzVcpsuzH1OOVdRmu/RxJJR8/e/Gm1RoddMA79HtPl5KX9+0PdbHF+nW2kPTxpHNieVaHHtLl2Q9pMP8Zya3e4xXh/rO0NvhPyW32UpoRuQxzYg81uZ1zsm6vWkcqdELof9TUPm6LneKunoOSrbxKaj+3jHq7x2jHqE/6+Xw7R3+PADgNgSEX1Pbtm2TJBUXF7fZpqSkJPm6qqqqzXat7Wi7s3PvOH9NTU3KuXNzc3XBBRfoySef1O23365AIKBIJCLbtlVaWqpvfvObkqSVK1fq5Zdf1uDBg3XyyRnWXuuATZs27dHx7dGlSxcZ084bs/hqGY9UPDJ1W+2y1Fl4LSWi0qqnZRcdKhUdJmWVJW/k29E6qWaRFA9LXZqfYrPthBQPZT7fziR28eV58wdSi4BQkhTs4Fpl+YNk8ptKIm56V4rVS11PS4aDdv0aaf0rUqBY6nGWjMcv0+kop3Rp44aOXQvY7xmp85ky/uZ/H+1YrRN2RbZIVlDKP0wmxynjazzZsrucKW14RopubTogKlU8Lzt3iJQ3RPJ3bh5DYvVS/efOz37RUc3XsBO7Hg9ay9Q+U5nSTNsyrCvSpuz+Mtn9nNfbPnBmXhePTYaDdmi9M5PSVyR1Gi9j+WUKjpBd/6UU+e//+wt8Ha2Oz9E99ac2zWw5VYWWU0o/Yce1IbFIMyKP6Wj/perhaX4wrsFu/l5ynP8qHeu/Ivk+YSc0PfKgFsfeUFwx9fccpZMDP5bfZMkyHh3t/67iiuu13biJFdb2ne5/N3Jfys19SepqHdxG68wO8Z6mg33O9/nXw79Vnb1VZwZ+lbyxvzI2Wy+EblSp1UffyvqTAiZHJwSu1pLYm2nlFgE3YAxJxRgCdNzK+Mf6fd1YjQtcq6G+8SqynOVGEnZc6+IL9V7kER3nv0K9vIcmj6lvMY5E1KAH68/TKN+3Ndr/HfXwDE2WFK1NVOiT6GQ12rWaEPxJ8piEHVejXdPhvoZ2MY68Fb4nJSCUpO5Wx5YgGub9hob6TpMkvRS6TdvtLToneEcyHFwR+0j/bLxBnay+uiT7IQVMjsYFf6gFsde0Jv5ph66Fvcu2bVVUVPzXr1NWVvZfvwZwoCIg/JoKhZywIhAItNmm5b6W6wTuSmNj4y7P3XL/jvY7nHfeeSooKNBLL72k9evXKzc3V4cffrgmTZqk/Px82batBx54QMYYXX311TLGaNWqVXriiSe0ePFiSdLgwYM1adIk9emTuVxKS4lEYpdtcAArHCLjy03dtnXWro+rmuf8MR7ZniynfF686b/l7qm/5Cq0ZW/0NF2kOn2bp32lgCU5JQi7nipJsuvXOuVJpdTQcdM7UmSb86dmkVR8eFObQwgI4T5ZvVPCQUnSltelcIufhS0bZfsvlvE5D8k4M3tHSltfTz2ubpHzRx7ZnoBkJ5ySv5JU0urBl2hlx/say/DLtydLal3p2JOd3i5am74tE+OXik+Q1BQE1jWVIMtpflpfVe9LsWrnT/3nUl5TiebcQdI2AkK413Z7s14O/0ovh3+lgHIVMDlqtGsUVUhe+XVWMPVG/Kb458nXx/guT9n3SfQ5vRn5Y3PbxGfymSydEvhxcttRvkl6J3zPXl9LZ1tiTdq2LNP+yh4B5eqMwK2SpFWx2fo4+g8ZGQ3znZFs81r4dm21V2prfKXmRf+jUf7vSJKG+87Q2vC8PfsAwH6KMcTBGALsvlq7QpNDP9fk0M8VUK6CJlcNdo2iapRXAZ2f9YeU9hvjqUuN2LI1K/q0ZkWflkd+5ZhCxRVTve1MSPhW1l2pxyc+l51aqmSvqEysTtuWZTKsx96GgHJ1VtavJUkrYh9rZuRJGRkd5msOHV8M/UpbEiu0JbFCn0Se11GBSyRJh/vOIiD8GuC+LvD1RkC4F73//vt6+OGHM+6rq6uTJN1xxx3yetP/2ktLS3XXXXelbd+XbLvtLwannHKKTjnllIz73njjDS1dulRnnXWWysvLtW7dOt10000Kh8MaPXq0jDGaOXOmfvrTn+rOO+9U9+7dd9oPy2q7rApcoGRUylu7fq3UuL79x9txZ23CHSy/lDcwtU19+hfWvcJfmL4t1oF6/l1OlPHlyU7EpA2vOts8OTLeFguHtww3Q5ubXwd2PkMYOCD5Mvx3H9ncaoMtRbamtm0dKqaIp653anzSjhl5O4TWdbSnUjjDU5S+kvRztSwDKjllQmPtrBpQdIyMN1e2HZMq33G2WdkyLR9UiGzN/Npb2L5rAC4QVp3CdvN3iSHe8fKbrJQ2K+IzJUnZKlSulTqmbEgsTjvnhnjqNq/xq9Tqk7Htnii20pcraLCr2338aYEbVWCVKWaHNTl8syQpx5SklE7clFia8XVb66YBbsMYwhgC7KnW48gw3zfSxpHlsbaXCIgrolq7+feigHI0xHtaSpsvYh+2PmyvKLF6p21rOdtxV84I/p8Kra6K2WH9q/F/JTnjSMvyqy3D0Q2J5tedrL6702XsZdzXBb7eCAj3okgkourq6p222REUtub3+1PeB4POzbtwuO0yYjtmGUpSdnaGGQZtyMrK2uW5W+7f0b49ampq9MQTT6hTp0668MILJUlPPfWUGhoadP311+vEE0+UJL399tv605/+pCeffFI33XTTTs/JNHEXy+0vE+yUum1XsweNVzImfV3AHbqemhKw2bYtVc1Nb9fnIpmc5i+ydtV8af3LqW16ni1tmSGF2iiX0PmY9G2hds7IyerePBtw60wpvOPGfavg3rTcRJlcuJyd4clEf+fUGYQyki81dFPLB2KMR5LllBrNpGRsSsBm23bm9f/KzpUJ9mhuV7dE2vpm8/7IZtnRahlfYfO2nAHS9vnN762AFGy1FmL98sz9ai3QVcob6ryumSNFt+3oSauGpo3XgHvlmOLk0/WtFZiuGh/4acq2NfG52th0Myqu9PVIu2Uoo9XVk16iL6HUMex7Wf9QX+/o5PtPov/Wv0P/m9Lm28EHNDVynzYmlmTs74n+a9O2rY8vyti2tV7WYTrS921J0vTIX7Q58YUkpc0uMC3GDqPmG0D/jVkIwP6AMcTBGALsvhxTono7c5WSQtNN3wz+PGXbqticlAcEfArKyMo4q9jI6Jys21MCtoSd0IeR9HVEf5DzvPp7m5dW+DjyrP7ReH1Km0uzH9ZboXu1PpF5bDg5cH3atnXxnayf3kJvzwiN8V8sSXonfL8qEsua9rT9O42llmEU48i+Zozhvi7wNUdAuBeNGzdO48aNy7jv5ptv1qJFi3Tbbbdp6NChuzxXcXGxVqxYkVyLMJOW+4qK2l64uLUdbXd27pb7O3LuRx99VHV1dbruuusUDAYVj8c1d+5cFRQU6IQTTki2Gzt2rB577DHNnTtX8XhcHo+n7ZPCvUpbzR4MV0rbl7XRuImvQOo3SapeItWtkCJNX6oDnaSSI2RyWj0FWzVfCu9GeUBJyu0jUzBYdt0qqfZzp6RnIiL5i6TikTJ5qbOM7ERUqmnPU72W1H2CjDHOZ97S4knAeIPsWGNzyBno1FxKtGWYurufCdifRTKE9aWnStU71iDMkvIPlfEXt32cN18qu0CqXyo1rm6erecrlfKHp4R+kqS6xVK0/U/ApqidK5WcmHxrgj1kF491AkfLLxUdLWM1P0Bk23Gpdl47TmxJJeOcMSS6Taqe3bwr0Sg7HmoOOf0lUrjpwYWWsxV39zMBB4BjfFdokHes5semaFV8juoSWxU0eerrGaPj/N9TrtX8s5Kw43o9/Pvk+7DqtCWxIuWJ9RG+c1VrV2hJ7C0lFFM/zxiN9V+Tcs2QvV1bEl92uK/9vUdrqG+8vozN1KLYa1oXn6+w6lViemuMf5IGeo9LaR+1Q1oQe2mX57Xk1VnBO2QZS1sSKzQ1cn9yX4O9TQ12dXIGUBdrYHKdsC5Wc5WGrYmVHf48wIGAMYQxBNhTY/1XabBvnOZGJ2tF7GNtt7coy+Srv+cojQ1co7xW48jLodSyxUVWD/0o9yXNjfxHS2PTtDmxQpLU1RqkYwOXq1+Lhwck6ePoP7Q50c4HEVsZ6D1Ww/NO1/LYDM2Pvqw18U8VthtUavXWsf7LdZDvhJT2EbtRn0an7PK8lry6IOuPsoylzfEv9Fb43uS+enub6hNVyZCzq+cgrY47D36XWQcl221p+twAgLYREH5N9ezZU3PmzNGaNek1/3fYsc8Yox49erTZLtO5Jam6ulq1tbXKz09fQ6CmpkY1Nc76SL16pZcVyWTRokWaOnWqjjzySI0e7XzZqK2tVSgUUq9evVKmlHs8HnXp0kXLly9XbW1th0JIuESwTCa3PHXb1o/adajxZEklI5w/O2E3bJA2vrGbHWxxvdxyqXVfM6mYKkV3voC3JKnTGJlgZ+f1hledMqkt1SyWSkY6r8vGOW38xVLBkNQ2gNuEN8oOrUsJ8YyvQOo0oc1DbDsm1aauS2E8QSl/uPNnJ+zwJmnbtN3v7/YFsrMHyGQ1zxI0O7tuzWwpujXzvpYKRsrsCPsq35XUagypX9p8jaJjpcq3nZKiLdcmrF8qwM26eg5SV89Bu2z3RuQPWhlP/X4yPfyQzs1qvuFvGY/GBa7TuMB1bZ7nw8jjiiuy2/3t5x2jft4xu+5v+PeqsTfust3x/u+rzOOMCZNDN6f0zZat+dGXkk/0jw/crMnhn6rElOvQFusBzY++2NGPARwwGEMYQ4A91c1zsLplmC3c2iuh2/VlU5nilrJNoY4JXKpjApfu9Pg1sXl6ofHnO23THgO8R2uA9+hdtns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"text/plain": [ "" ] }, "metadata": { "image/png": { "height": 600, "width": 900 } }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "At Week 10:\n", " 10/25 scenarios meet the 90% target (Green cells)\n", " 15/25 scenarios fall below 90% (Red/Orange cells)\n", "\n", " Risky combinations (< 90%):\n", " rev -20.0%, cost +0.0% → 79.5%\n", " rev -20.0%, cost +5.0% → 68.5%\n", " rev -20.0%, cost +10.0% → 49.0%\n", " rev -20.0%, cost +15.0% → 37.5%\n", " rev -20.0%, cost +20.0% → 24.0%\n", " rev -15.0%, cost +0.0% → 89.0%\n", " rev -15.0%, cost +5.0% → 82.5%\n", " rev -15.0%, cost +10.0% → 73.5%\n", " rev -15.0%, cost +15.0% → 70.0%\n", " rev -15.0%, cost +20.0% → 47.0%\n", " rev -10.0%, cost +10.0% → 87.5%\n", " rev -10.0%, cost +15.0% → 76.0%\n", " rev -10.0%, cost +20.0% → 67.5%\n", " rev -5.0%, cost +15.0% → 89.5%\n", " rev -5.0%, cost +20.0% → 80.0%\n" ] } ], "source": [ "# =========================\n", "# A3: Sensitivity heatmap at 10\n", "# x_axis represents the shock percentage in revenue， y-axis represents shocks percentage in cost \n", "# The colour of each box represents the probability of paying off the loan by week 10.\n", "# =========================\n", "# Parameters:\n", "target_week = 10 # Target week to pay the full amount of the loan\n", "nsim_heat = 200 # Number of simulation \n", "target_prob = 0.90\n", "repay_thresh = model['OB_BankLoan']\n", "\n", "# Range of shocks:\n", "rev_shocks = [-0.2, -0.15, -0.1, -0.05, 0.00] \n", "cost_shocks = [0.00, +0.05, +0.1, +0.15, +0.2] \n", "\n", "# Loop through all shock combinations\n", "# Each scenario will become one heatmap cell showing repayment probability\n", "heat_rows = []\n", "rnd.seed(888)\n", "\n", "total = len(rev_shocks) * len(cost_shocks)\n", "count = 0\n", "\n", "for r_shock in rev_shocks:\n", " for c_shock in cost_shocks:\n", " count += 1\n", " print(f\"[{count}/{total}] rev={r_shock:+.1%}, cost={c_shock:+.1%}\", \n", " end=' ', flush=True)\n", "\n", " # Build the scenario model\n", " m = model.copy()\n", " for ch in ['Ch10', 'Ch12', 'Ch14']:\n", " m[f'{ch}_Rev_Min'] = int(model[f'{ch}_Rev_Min'] * (1 + r_shock))\n", " m[f'{ch}_Rev_Max'] = int(model[f'{ch}_Rev_Max'] * (1 + r_shock))\n", " m['AP_Min'] = int(model['AP_Min'] * (1 + c_shock))\n", " m['AP_Max'] = int(model['AP_Max'] * (1 + c_shock))\n", " m['Cost_Var_Min'] = int(model['Cost_Var_Min'] * (1 + c_shock))\n", " m['Cost_Var_Max'] = int(model['Cost_Var_Max'] * (1 + c_shock))\n", "\n", " # Run the simulation\n", " balances = [cash_forecast(m, first_forecast_week, target_week) \n", " for _ in range(nsim_heat)]\n", " prob = (pd.Series(balances) >= repay_thresh).mean()\n", "\n", " heat_rows.append({\n", " 'Rev_Shock': f'{r_shock:+.1%}',\n", " 'Cost_Shock': f'{c_shock:+.1%}',\n", " 'Rev_Val': r_shock,\n", " 'Cost_Val': c_shock,\n", " 'Prob': prob,\n", " 'Meets_Target': prob >= target_prob\n", " })\n", " print(f\"prob={prob:.1%}\")\n", "\n", "heat_df = pd.DataFrame(heat_rows)\n", "\n", "# Order the results\n", "rev_order = [f'{x:+.1%}' for x in sorted(rev_shocks)]\n", "cost_order = [f'{x:+.1%}' for x in sorted(cost_shocks, reverse=True)]\n", "\n", "heat_df['Rev_Shock'] = pd.Categorical(heat_df['Rev_Shock'], categories=rev_order, ordered=True)\n", "heat_df['Cost_Shock'] = pd.Categorical(heat_df['Cost_Shock'], categories=cost_order, ordered=True)\n", "\n", "# Format the heatmap labels as percentages\n", "heat_df['Label'] = heat_df['Prob'].apply(lambda x: f'{x:.1%}')\n", "\n", "\n", "# Create the heatmap\n", "# Map scenario probability to colour so safe and risky combinations are easy to compare.\n", "# The percentage label inside each box gives the exact probability behind the colour.\n", "heatmap = (\n", " ggplot(heat_df, aes(x='Rev_Shock', y='Cost_Shock', fill='Prob'))\n", " + geom_tile(color='white', size=0.8)\n", " + geom_text(aes(label='Label'), size=9, color='white', fontweight='bold')\n", "\n", " # Keep the gradient, but make values at or above 90% green.\n", " + scale_fill_gradientn(\n", " colors=['#d73027', '#fdae61', '#fee090', \"#b5fa5b\", \"#6df015\"],\n", " values=[0.00, 0.50, 0.899, 0.90, 1.00],\n", " limits=[0, 1],\n", " name='P(repay)'\n", ")\n", "\n", " + labs(\n", " title=f'Repayment probability at Week {target_week} across revenue and cost scenarios',\n", " subtitle=(f'Each cell = P(closing cash >= ${repay_thresh/1e6:.2f}M loan) | '\n", " f'{nsim_heat} simulations | Green >= 90% target, Red < 90%'),\n", " x='Revenue shock (vs baseline)',\n", " y='Cost shock (vs baseline)'\n", " )\n", " + theme_minimal()\n", " + theme(\n", " plot_title=element_text(ha='left'),\n", " axis_text_x=element_text(rotation=0),\n", " figure_size=(9, 6)\n", " )\n", ")\n", "\n", "display(heatmap)\n", "\n", "# Summarise:\n", "safe_cells = heat_df[heat_df['Meets_Target']]\n", "risky_cells = heat_df[~heat_df['Meets_Target']]\n", "\n", "print(f\"\\nAt Week {target_week}:\")\n", "print(f\" {len(safe_cells)}/{len(heat_df)} scenarios meet the 90% target (Green cells)\")\n", "print(f\" {len(risky_cells)}/{len(heat_df)} scenarios fall below 90% (Red/Orange cells)\")\n", "\n", "if not risky_cells.empty:\n", " print(f\"\\n Risky combinations (< 90%):\")\n", " for _, row in risky_cells.iterrows():\n", " print(f\" rev {row['Rev_Shock']}, cost {row['Cost_Shock']} → {row['Prob']:.1%}\")" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[1/25] rev=-20.0%, cost=+0.0% prob=97.0%\n", "[2/25] rev=-20.0%, cost=+5.0% prob=98.0%\n", "[3/25] rev=-20.0%, cost=+10.0% prob=92.5%\n", "[4/25] rev=-20.0%, cost=+15.0% prob=84.0%\n", "[5/25] rev=-20.0%, cost=+20.0% prob=68.0%\n", "[6/25] rev=-15.0%, cost=+0.0% prob=100.0%\n", "[7/25] rev=-15.0%, cost=+5.0% prob=99.5%\n", "[8/25] rev=-15.0%, cost=+10.0% prob=97.5%\n", "[9/25] rev=-15.0%, cost=+15.0% prob=95.0%\n", "[10/25] rev=-15.0%, cost=+20.0% prob=89.0%\n", "[11/25] rev=-10.0%, cost=+0.0% prob=100.0%\n", "[12/25] rev=-10.0%, cost=+5.0% prob=100.0%\n", "[13/25] rev=-10.0%, cost=+10.0% prob=99.0%\n", "[14/25] rev=-10.0%, cost=+15.0% prob=99.0%\n", "[15/25] rev=-10.0%, cost=+20.0% prob=94.5%\n", "[16/25] rev=-5.0%, cost=+0.0% prob=100.0%\n", "[17/25] rev=-5.0%, cost=+5.0% prob=100.0%\n", "[18/25] rev=-5.0%, cost=+10.0% prob=100.0%\n", "[19/25] rev=-5.0%, cost=+15.0% prob=100.0%\n", "[20/25] rev=-5.0%, cost=+20.0% prob=99.5%\n", "[21/25] rev=+0.0%, cost=+0.0% prob=100.0%\n", "[22/25] rev=+0.0%, cost=+5.0% prob=100.0%\n", "[23/25] rev=+0.0%, cost=+10.0% prob=100.0%\n", "[24/25] rev=+0.0%, cost=+15.0% prob=100.0%\n", "[25/25] rev=+0.0%, cost=+20.0% prob=100.0%\n" ] }, { "data": { "image/png": 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GS9FGvCrZL1Yb90A9GDdbvaL+HbZvyDrfrODrTu5hqmZrpESjmnpEnViaeL33O0nZeaRf9CuyG04dCezSN5n/KZaYAaupYLsw5Al4Sdrr3xTWbq//17Bz1R1Ng69r/Jl3chwzdyvzpAcaMpSs4+be0DHsTVUYLsWoku3i0NgCEeINhMebE+MW389KDWQ/kFDT0VxtnAMUZ1RQa2d/1XQ0lySlBg5rq3+ZJKmda4hq/rkU8+cZj8qjtELFDJzPyCHkEKCoyCPkEQAoThQILSgtLU3LlmX/o9mzZ0/Z7faQ63a7XT179pQk/fzzz0pPP7GvUnJy9lKOlSuHrotepUqVkOs5lixZohUrVqhz586qXz90+QQgt12B0OJytBGvHlHPKcGoLKeiVNveRh1dw8L6JRgnNtPeF/hVkzLvVrp5LHjuSvdDeiJuhZ6MW6M+0S8FN7X2mR5Nz3xWv/rmFDrWRKNa2LmTZxTldS7xz6fb1vu+1YY/v7gvZ0vSXbHT9H+lFqquI3sm0+HAdn3vGSNJaukcoAv+/GD8debTxbLXGXA+2uFfGXIcbSRk7+VhVJVT0brI3l5XuO8P65fw514fO/yrw56Qvcb9qGraW8ipKJU1quvmmNeCeSRHrC1RLkUX87sJ1cE9NGRpVEla4/1av3hnSpLK22vpwbhZejJ+meo7r5QkHfRv1cysVyRJ7Vx/Dy4h9EXGY+QR4DRFesggNddT7TlSIpwra5zoW+akhw9SAuHtI40d6f75SbRVDdlXNdKY2fc/GHYu58EsrzL0acbD8pvZ2xLcGDNSz8evCy455jd9+jTjYXmVqQSjkq7982Gn1d6vtc43u1DxAuc7cgg5BCgq8gh5BACKE9O5LGjDhg3BfQebNo385E/Oea/Xq40bN+qyy7LX846Pz35Kae/e0CeIco5zrktSenq6xo4dq7i4OA0ZErpfG3Cy5d5P1c41NGRmzqXOPrrU2SefXlKUEbrn5a++Ofogvb9ujH5D5WxJEfscC+zWpIy7tSew7rRiPfmekuQ1M8PPKfxcTl9Tpj7OvFst/DerqbO3yttqyy6njpm7tdE3Rwuy3lKmkhVvVFJX93BJ0i/eb7TJP09ulVJ71+2q77hKpW3V5JdHe/0b9ZP3I63zfXNa7wk4Hyz1TFIn17DgBvZS9rKdLVz98u0Xrex/u5LN/Vrh/ULNXX2D18rba+q+UuHLZ58syoiXx8wodMyZZop+8c7Ub76F2uv/VV5lqbwtSe1dt+piZ8eQth1dd+hHz0QdCmyVlJ1H/pd+q9q4BqqFs58q2uvILoeOBHZpnW+W5mS+pgwdV4JRWddEPSJJWu35Sht8c+RWKXVx36NGzr+pjK2afPJot3+9lnj+p9Xerwv9PgCrOPmJfUnyRvi771X4uWgjIdfr0M8SkT4zSArLK5Hun5/I8YbfyxMh3phc8a72fa1jaXvUxX2PatlbKMZIVLp5VFv8y/R91uva5l8hSbo++kVFG/FKN4/r84zsfZcbO65VB/etqmZvKIeyl/pa652h77JeC1sODTjfkUPIIUBRkUfIIwBQnCgQngOmTp2qCRMmKDk5WTExMUpKSlKbNm3UtWtXuVyuQo+3c2f2Pm2lS5cOKejllpCQoISEBB0/flw7duwIFggvvvhiuVwuLV26VEuXLlXLli2VkpKisWPHSpIaN24cHGPSpEk6fPiw7rnnnjzvA+RIN49qYsaduiX6HcUYpfNsFzD9IU+f5V5S0JBNV7kfURvnENmMvCdIl7ZV1Z0xX2ipd7xmZr2ogPx5to3k5GX+8jqnCOdMmbleB/ST9yP95P0oz3t1dz+tKKOUMsxkzch6VlGK020xk1XRflGwjVNu1XS0UE1HCy3Mqq/ZnpcL9X6A80WaeUTvpw/RrTEfKtaWmGe78Dxy4gfUzzMeVWlbFdVxtC1wfyl8f9OC2O1fp6eSm4TN5jsQ2Kz1vu80MPptNXWd2LvXbjjUxNldc7JeC54zFdASz4da4vkwz/v0iX5BUUacMszjmpL5T0UpXveVmqbK9rrBNk5F6UJHa13oaK1qma9retYLhX4/gDUU7N/7yOfMCOdyWkdqHz6Omc8YBelfmPuffK9t/hV6Pz3vh/4aOrqpsTN7T9avM59TsnlAf3M/pqui/hHSrqL9Ql1hv18Nnd00KvVvytDxAsUInB/IIXkhhwAFRR7JC3kEAAqPAuE5YMeOHXK5XHK5XEpOTtbatWu1du1affvtt3ryySdVvnz5Qo139OhRSVKZMmXybVe2bFkdP3482F6SSpUqpX79+mnChAl64YUX5Ha75fF4ZJqmypUrp+uuy96seOvWrZo+fbrq1aunK664opDvONS+ffuK1L8gKlasKMMo2IcWlJzt/hV6Pe2a4Oy4nGX/AqZfewLr9aNnnFq7BoXs95Vhnvjz2d51u9q5bg0eB8yAFnre1gbfbAXkUy17G3V1/0MuI1o2w642riEKyK+ZWYXbsDrDTA475zDcYZ+1nXKHtcsyU8PO5eUSx1Wq5+wqSZqd9ZJSzUPq7n4mWBzc5lumqZmPqZytpm6IHi23EasO7ju0wTc7bMlWwCq2+n/WS6md1MV9jxo6uynRVlVSdh7Z5f9FCz1j1cE1VNUdTYJ90nLlEY/S9VZaX7V03qxWrltUzd4wuKRocmC/VninKsNM1jVRDwf7BEy/MszC/1B5qqdVv8saHVIglKSqtsIt193I8Tc1dF4tSfo683mlmAfVJ2pEsDi4xfeTPskYrvK2WhoY87bcRqy6RN2rtb5vtcO/qlD3Aqwg0t91pxEVfk7h53J/fsgwU0L6RWovSa6Txs40C/eUe+R4w5dEPlW8pxKlUuobPUJS9j5BSzzjVN3eNPiFXJaZpnHpd2h/4HfdHD1atR2tVMl+kbpHPaFPMx/Ob2jgvEIOiYwcAhQceSQy8sjZyTRN7d+/v8TvU6lSpVM3AhARBcKzWMuWLVW/fn01aNAgOAPvyJEj+u677/Tpp59q+/bteuaZZzRq1Cg5nc4Cj5uRkT1t3+0OL17klnM9p32Ovn37KiEhQV9//bV2796tUqVK6dJLL9WgQYMUHx8v0zT13//+V4ZhaNiwYTIMQ9u2bdP48eO1fv16SVK9evU0aNAg1axZ85TxBgKBU7bB+SPFPKBvsp7TN1nPya1SchmxyjSPy6tMOeRSj6jnQtrvy7UZd1vn30OurfJ+oTmeV0+0DfwqlxEVXLJTklo5B2pu1muF2o/rqLkr7Fwpo6wOaPNJ58qF9w3sLNA93Cqla93/kiRt9y3XMu8nMmSoofNvwTYzs/6jw+Y2HfZv0xrvNLVw3SxJauS8VruyKBDCupLN/Zqa+S9NzfyX3CqlKKOU0s3j8ipDDrl1Q3ToLNu9/o0hx6ZMLfVO1FLvRNnlUqxRWn75lGYekSTdGP1qaP/Ar6fxJO2pHQ5sDzuXe1mgU3GrlHpF/1tS9g/JP3omyJChps4TRcevMp/VwcAWHQxs0QrPF2rjHihJutTZiwIhEMHhwI6wc3FG+MN6kc4dNk/0PRLYrnjbiTalbOGfGSKNE+n++Tka2B026zkuwueTOFuFsHNHCnGv7lH/VGlbFflMjz7JeFCS1CzXMvHLPJ8H9wCalvmMhpf6VpLU1NlDn2U+UiI5FDgbkUMiI4cABUceiYw8cvbie91zg8/nU5MmTbR+/XoNHz5cI0eOPNMhWcb+/ft14YUXKjU1Vf/73/80ePDgv/T+FAiL0aJFi/Tee+9FvJaamj1raMSIEXI4wn/by5Urp1dfDf3C8bbbbgtrV6ZMGfXr109JSUl6/vnntWPHDn3//fe6+uqri+EdhDLNvP9xvPLKK3XllVdGvDZr1ixt2rRJvXr1UlJSknbt2qVHH31UWVlZatWqlQzD0I8//qjHHntMI0eOVNWqVfONw2bLe6lInN+ylBoy466+42q5TnrSbIt/qSQpWqVD9h2TpD2B9WFj7vFvCDl2GC6VtdXU3ght87LbvzbsXAVbnWAsOSraLg45zjRTdMjcWqB7XOl+SPG2SvKZHn2Z9U9JUoxRJmT51f2BTble/xZ8XdZ26sI7YBUn55FGzr+F5ZHNviV59vfLo2TzQPDYrVg1cIT+m/u774diijZUWVuNsHO5ZzueSvYPyZXlM7P0acZDkqRYo2zI8qu5i6N7Aidel7fVOp2QgfPewcAfyjCTQ/bTqWS/OKxdFXu9sHM7fCeK7tv9q5XkaBY8Lm1UUZTiQmYWRytBpW1VQscoZOHeo3TtC2xSFfslwXOVI8VrC493u391ge6RZL9MbV2DJEnfZ72hfX9+Pqlgqx1sszdXftmTK+/E2hIVa5RVqnmoQPcCznXkkHDkEKBwyCPhyCNnN77XLX75rYIXGxurMmXKqFGjRurWrZsGDBhQoK2/xowZo/Xr16t06dJ64oknijNcnELFihX14IMP6plnntEjjzyiXr16KSGh4A+HFxUFwmLk8Xh07NixfNvkFApPVti9BFu2bKlLLrlEGzZs0LJlywpVIIyOzv5iNCsr//2Scq7ntC+I48ePa/z48SpfvrxuuukmSdJHH32k9PR0PfDAA+rcubMkac6cOXrttdc0YcIEPfroo/mOyTRx64gxyij9zxk6J0swKusq9yMh53b4V2nfnx/yAvKF9alsuyT8XIQPyeZJexDeGj1RNR0tg8crvV9oSuaJe+8JrNeRwA6VsVUPnmvg6Kal3gnB42glqJajdci4670zI763k11ga6rmzuy/P4s87+hg4PdgpLnlXqM/dL1+nnyDdcUaZZVmHo54rbRRRddF/Svk3Dbf8pCHCZyKkiFbxFnFhgz1iX4hpMAWMAP6wTMhrO3dsV/oQkeb4PHPnsn6OOOBkDaDY97Td5ljtDuwLmK8V7gfCDu3K8IDCpHUsF+m1q4BkqTvs97M9RDByfnhRO6wKfcPbuQRIBJTptZ4p6vVn7P2Jamuo6OiFa8MnVgGq6nzupB+B/1btSvwS/B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fql6ue4P6VTq+ZtBu7+qgJ+2viByjxvb2csilqkZDDYx6WXYj8CGoaKOynCpeNZUqBTzwkJpvZqIk/xdqAX2Pz3Rc7flGa93zJEnV7U30z9jZeiTuV//ahId82zU/K6e0WOeIYf4vBWdmPsZ9BCiBarbgBwzyztLNlVLAvmp5Hk6omu/BgxRfcPuCxi7o/CdTxVYvYE3VgsbMOf/BoH1Vj5/LrQxNy/iXvGZO1aNB0S/p6fi1/rKFXtOjaRn/kluZqmTU1tWRj0iSEtxfa20ZPogFnCm4j3AfQRiq6NxcKGwkCS1j6RqEEyZM0KBBg1S5cmUrT3NG2r17t3+dxoYNC//Ht2HDhtq5c6d27Sr6GmqmaWr37t1FGltS0NgXXnihNm/erPfee09jxoxRbGysfv31Vy1btkwul0vnnpuTyDh8+LCmTp2qOnXq6IYbbihyfAhPW7zz1NwxQK48T8I1tV+upvbLT9rPqaKtaXm+/XrVs7cP2Lfa87E8+cqYFke2ma7dvl+1z/u7jprb5ZVbcUYdnWu/VnXtgYn98+3Xa4t3rlLMvcf3mPrJ/bSa+fqqqf0yxRsNZJNDaWaidvt+1VrPNGUrVdGqplaOWyRJO7w/a49vuZyKUnPHjWpou0SxRi155dYRc6s2eb7RTt/PJb4e4HS3yv25LokYETAzp42zv9o4+5+0n8uIO+XYl+SbPZjmO6Lfj68pVhqZZqo2er7XX54lSvRtlkfZqmo0VMeIm3W2I3Bt1oudw7Uye5qSzJzS36ZMfZY5Uu29f1NrZ39Vt50lu5w6au7RJs8C/ZT1tjKVrHijlnq6ctYTXuv+Vpu9C+VSjC6NuFPnO65QZVs9eZWt/d4NWu7+WOs8c0p9XcDparl7qrpF3KUY24n7SLuIG9Uu4saT9os8fh9JNg/od/eXuijPGjrVbY11d8yp7xdRRrzcZtF/Lokq4N7lNoMfIspfsj33XFLOfeSjjLvUyTNU7SJuVE3b2bLLoSO+PVrv+U4/ZL2pDB1TJaO2rjj+kMIf7m+0wbNALsWqu+sfaunooyq2+vIoW/u86/VL9oda7fkm6JwAFDTrR1KBf+8L/ntbKc/rwL//Bc1elqTsfGMXdP6TKTje4HNlFxBvdJ54Ezxf62jaXvVyjdRZ9g6KNqoo3Tyird4VWpD1urZ7V0qSboh6TlFGvNLNY/oi42FJUivH1erqGqH69pZyKKdc4Gr3bM3Pei2opCIQDriPcB9BGDKYRRful28lSxOElJQsuaSkJP/rqlWrFtquWrVqkqQjR44UeeyMjAxlZmYWeeyMjAxlZGT414js16+ffvzxRyUkJGjo0KGKiIhQVlZOOaa//e1vionJSdj873//U0ZGhh566CFFREQUOT6Epywla2H2k+oe8Z+TflnvM70BT5/58pUmLUgL+yC1dt4SsO9Pzxxt9M4scbxJvr80I2to0Gy+ZHOX9viW61I9pMb2E+ua2Qy7Gtou1TrvNP8+Uz5t9n6jzd7Cv0Rr77xbEUa0ss1UrXC/LadidEXEi6qcZ80huyJUy2ipWhEttdbTVAmeySW+LuB0lm4e0dSMu/W3qLcUbVQutF3++4hHWYW2laRKRl01d1wRsG+F++NCf4kuqn3e9Xop9dKgWTiH9Jc2Z/yoGyNfUQtnX/9+u+HQBc4++jn7bf8+Uz4td3+s5e6PCz3PVa7/KNKIVYaZrDlZ4xSpON0WPVW17Of42zjlUmNHBzV2dNDPWRfo+2xKByI8pZtH9EHG7RoW/X7x7iN5SpN+mTlWlW111NTRucj9pYK/LDu54NLpBe3LX544P1M+/er+UL+6Pyy0zXWR4xRpxCnDPKavMv+jSMXr7pjpqm0/UTLMqUid5eiksxyd9GNWC83JYr0fIFjR/t4WvK/wb8YK/3seuN8s9rdrJ79/nOz8+c+13btS76cPD2qXq6Wjj1od/7nn68xxSjYTdZXrYV0ReX9Au1r2s3W5/Z9q6eyj8alXKUPHihQjcObgPlIY7iM4Y/lEggyWsTRBiJLLTeBJksvlKrRd7rGMjKI/bZy3bVHGzu2TmyCsVKmSXnjhBU2ePFkJCQnKyMhQo0aN1K9fP112WU45opUrV+qXX35Rly5d1KZNG3m9Xs2YMUPz58/XoUOHVL16dV122WUaMGDAKddpzF/K1Aq1atWSYRTthxZY56C5Xt9k/UMXOG5UA3tnxRg5a2/6TK+OmH9po+crnefop2rGiS+1s8zCn/YyZFNHx706O98X+5s832iFZ0KpYnWfoqzWWs+nAQlCSapqayp5i36OBrZL1MCes0bo755JytQRtXfc7U8OJvrW6lf3q4o36ulS57/lNKLUwnGTdnl/1WEzuKY/EA52eldqQtrVujTiDp3v6O0v++czvdrnW6+l2R+oU8StAesOZphHTzrmxRG3ym6cWIPMbWZquXtKqWPNyrfGR36LsicEJAglqbbtvGKd43xHb513vFTg91kvKtU8pKtc//EnB3d4ftNXmY+omq2xbogaL5cRoy6uO7XB8532+FafbGjgjLXdu0Ivp16u7hH/UAvnlapsy1ln22d6tce3VouzJ+rSiNsC1gBMM088rJetdL2b/je1dw5Sh4i/qZ6thb+kaLIvUQnumcowk3VF5ImywT7Tq0ydWMe7KDLM4PZOwxX05YFDkUXqW5gWjj66wNlbkvRt5nNKNQ/qushx/uTgNs9yfZ45RjVsZ2lw1BtyGTHq4bpbaz1ztStfyVYg3GWYwV9CO43gv6POU/y9zTBTAvoV1F6SIvKNnXmS350KUnC8weWQTxXvqUQqVjdGPSspZ62xJdkfqKG9jf9L/SwzTR+k36UDvi0aHPWKmjo6qbb9HF0TOVbTMv9V5PMAZwLuIwXjPhKaTNPUgQMHLD9P7dqnXjbktMZX1rAQCcJ8fv75Z/3vf/8r8Fhqas4Xec8++6wcjuCPrnr16nr55ZctjS+/3DKk5T12jRo1NGbMmAKPZWVl6Z133lF0dLRGjMgpyfb2229r3rx5qlevnnr27Kl169ZpypQpOnTokO6+++6TxuHzlc/6TggNGUrSb5539JvnHTkVJYeila1UeZUlm5zqaASu+3PE3FbgOA5FqYvzYdWztwvYn+D+QGu9n1kWf66UfAt5S0Uvh5rTNkrtnXdJkhJ96/Snd44kQ43t3fxtVrnfV4q5RynmHm3z/qhzHDmJhMb2bjrsIUGI8JViJmpO1tOak/W0XIpRhBGrTPOY3MqUQxG6JvKpgPYHvIX/fXEpVm2cgaUF/3DPVJqZVEiPsnPEF1w+PLIYJX1cilFf12OSpB2elfrN/ZkMGWrhvMrf5rus53XY3K7D3u1a7Z6l9hF/kyS1dF6tPVkkCBG+ks0DmpX1hGZlPSGXYuUyYpThv4+4NCAycHbcft+GgPemTC13T9Vy91TZFaFoo7K8civ9eCLxxsgX8/XfVOwn8gu6R8Qa1XVAmwP2xdmC12s+YhZteQKXYtUv8v8kSds8K7TM/bEMGWrtvNbfZnbW0zrk26ZDvm363f2lOkUMlSS1dvQjQQjkc9i3M2hf3PGHIk+177B5om+Sb4fibSfaxBbw97ygcQo6/8kc8e0JmvEcV8Aa8HG2mkH7kopxrmsiH1VlW115zGx9mjFaktTOeaJU84rsL/zriH2V+X96IDanHHobZz99nvnvEsxoAk5f3EcKxn0kdPG9blmgxCisYyuLQTp06KCffvqpLIYq1Ndff622bdueumEpZWdn6+jRowVuHk/OYripqakFHk9OLt5TvycTGXniyZnc8p0FyT2WO7uvKPK2LcrYxR3/888/1/79+zV06FBVrVpVO3bs0Lx589SoUSO98sorGjlypMaPH68GDRpo7ty52rFjx0nHs9lslm8ITW5lKEOH5T1e/q+h7RI58j29dqCAGS5RqqreES8EJAe9pluLs18ol+SgJMUZdYL2ZRejtn0bx22KNqrLa7q1zP2aJClSlQLKrx4xt/tfH83zOt6oV/yAgTNUltKUYh7wlwM933GFIvI9sbrNu6zQ/u0j/qZII9b/3mf69Ev2RGuCzaeKrUHQvoKewC3M5a4xirfVksfM1tdZj0qSoo2qAWUTD/hOJBIS87yuZmtSgoiBM1OWUpWc5z7S0tEn6D6yxfNrof29ylaKmehPDroUowucgdUN/jpJ/8Ls8v4RtK+W7ZygfflnHmeYyTro21qkc/SNfFiVbLXlMbM0PfMhSVKMUS3gPrLPu7HA1zW4jwBBDvr+CpoRk7dUb6669vOD9u30/O5/vSNf8r2yUVeRClymIUqV/DOg/WN4f1dxZCtd+32BD1LVKSheW3C8+WMsTGP7Rbok4lZJ0oKsN/znq2lr6m+zL89DGHu9J17H2KooxqhWpPMAZwruI8G4j4Q2vtctA6ZxIkcYthuJZquUyQzC3377TT169FCXLl3073//W3369CmLYeXz+fTtt99q3LhxWrFiRZmMeSq9evVSr169Cjz2yCOPaO3atXr66afVsmXLAtuUlbxrAyYlJSk6OrrAdrlrFVapUqXIY0dFRSkyMlKZmZkBax0WNnZUVFSRE4S7d+/WjBkz1LRpU/XtmzObKffP7oorrvCXLY2MjNSVV16p//3vf/rtt9/UqFGjQsc846eJw8+leGUVUl4rWtXV1jkiYN9B3wYdMQO/4KpkNFLPiP9TjHHi6bMsM0WLsp9Sorm2SHFcHvGcatku9L//yztfv7rHB7Tp4nxEaz2fBp0/VwvHoKB9Sb4tRTp/deM8NbPn3EfXeT/XseNP+ed/oi1vjf7Aev08VYTwlbtYfUHijdrq7QosH7PL+3vQzJ9cNjnUwXlzwL5Nnh90OE9CvjDDoj5SE0dH//vf3TM08/iX67luinxNP2W/Vej5u0UEz7Df5y3afay+rbUucubchxZnv6uDvr+OHznZfSTvL1bcRxC+Yoyqhc4SrmTU0VWRYwP27fCs1D7fev97h1yyyR60vqiU83e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", "text/plain": [ "" ] }, "metadata": { "image/png": { "height": 600, "width": 900 } }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "At Week 16:\n", " 22/25 scenarios meet the 90% target (Green cells)\n", " 3/25 scenarios fall below 90% (Red/Orange cells)\n", "\n", " Risky combinations (< 90%):\n", " rev -20.0%, cost +15.0% → 84.0%\n", " rev -20.0%, cost +20.0% → 68.0%\n", " rev -15.0%, cost +20.0% → 89.0%\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "At Week 16:\n", " 22/25 scenarios meet the 90% target (clay cells)\n", " 3/25 scenarios fall below 90% (red/orange cells)\n", "\n", " Risky combinations (< 90%):\n", " rev -20.0%, cost +15.0% → 84%\n", " rev -20.0%, cost +20.0% → 68%\n", " rev -15.0%, cost +20.0% → 89%\n" ] } ], "source": [ "# =========================\n", "# A3: Sensitivity heatmap at week 16\n", "# x_axis represents the shock percentage in revenue， y-axis represents shocks percentage in cost \n", "# The colour of each box represents the probability of paying off the loan by week 16.\n", "# =========================\n", "# Parameters:\n", "target_week = 16 # Target week to pay the full amount of the loan\n", "nsim_heat = 200 # Number of simulation \n", "target_prob = 0.90\n", "repay_thresh = model['OB_BankLoan']\n", "\n", "# Range of shocks:\n", "rev_shocks = [-0.2, -0.15, -0.1, -0.05, 0.00] \n", "cost_shocks = [0.00, +0.05, +0.1, +0.15, +0.2] \n", "\n", "# Loop through all shock combinations\n", "# Each scenario will become one heatmap cell showing repayment probability\n", "heat_rows = []\n", "rnd.seed(888)\n", "\n", "total = len(rev_shocks) * len(cost_shocks)\n", "count = 0\n", "\n", "for r_shock in rev_shocks:\n", " for c_shock in cost_shocks:\n", " count += 1\n", " print(f\"[{count}/{total}] rev={r_shock:+.1%}, cost={c_shock:+.1%}\", \n", " end=' ', flush=True)\n", "\n", " # Build the scenario model\n", " m = model.copy()\n", " for ch in ['Ch10', 'Ch12', 'Ch14']:\n", " m[f'{ch}_Rev_Min'] = int(model[f'{ch}_Rev_Min'] * (1 + r_shock))\n", " m[f'{ch}_Rev_Max'] = int(model[f'{ch}_Rev_Max'] * (1 + r_shock))\n", " m['AP_Min'] = int(model['AP_Min'] * (1 + c_shock))\n", " m['AP_Max'] = int(model['AP_Max'] * (1 + c_shock))\n", " m['Cost_Var_Min'] = int(model['Cost_Var_Min'] * (1 + c_shock))\n", " m['Cost_Var_Max'] = int(model['Cost_Var_Max'] * (1 + c_shock))\n", "\n", " # Run the simulation\n", " balances = [cash_forecast(m, first_forecast_week, target_week) \n", " for _ in range(nsim_heat)]\n", " prob = (pd.Series(balances) >= repay_thresh).mean()\n", "\n", " heat_rows.append({\n", " 'Rev_Shock': f'{r_shock:+.1%}',\n", " 'Cost_Shock': f'{c_shock:+.1%}',\n", " 'Rev_Val': r_shock,\n", " 'Cost_Val': c_shock,\n", " 'Prob': prob,\n", " 'Meets_Target': prob >= target_prob\n", " })\n", " print(f\"prob={prob:.1%}\")\n", "\n", "heat_df = pd.DataFrame(heat_rows)\n", "\n", "# Order the results\n", "rev_order = [f'{x:+.1%}' for x in sorted(rev_shocks)]\n", "cost_order = [f'{x:+.1%}' for x in sorted(cost_shocks, reverse=True)]\n", "\n", "heat_df['Rev_Shock'] = pd.Categorical(heat_df['Rev_Shock'], categories=rev_order, ordered=True)\n", "heat_df['Cost_Shock'] = pd.Categorical(heat_df['Cost_Shock'], categories=cost_order, ordered=True)\n", "\n", "# Format the heatmap labels as percentages\n", "heat_df['Label'] = heat_df['Prob'].apply(lambda x: f'{x:.1%}')\n", "\n", "\n", "# Create the heatmap\n", "# Map scenario probability to colour so safe and risky combinations are easy to compare.\n", "# The percentage label inside each box gives the exact probability behind the colour.\n", "heatmap = (\n", " ggplot(heat_df, aes(x='Rev_Shock', y='Cost_Shock', fill='Prob'))\n", " + geom_tile(color='white', size=0.8)\n", " + geom_text(aes(label='Label'), size=9, color='white', fontweight='bold')\n", "\n", " # Keep the gradient, but make values at or above 90% green.\n", " + scale_fill_gradientn(\n", " colors=['#d73027', '#fdae61', '#fee090', \"#b5fa5b\", \"#6df015\"],\n", " values=[0.00, 0.50, 0.899, 0.90, 1.00],\n", " limits=[0, 1],\n", " name='P(repay)'\n", ")\n", "\n", " + labs(\n", " title=f'Repayment probability at Week {target_week} across revenue and cost scenarios',\n", " subtitle=(f'Each cell = P(closing cash >= ${repay_thresh/1e6:.2f}M loan) | '\n", " f'{nsim_heat} simulations | Green >= 90% target, Red < 90%'),\n", " x='Revenue shock (vs baseline)',\n", " y='Cost shock (vs baseline)'\n", " )\n", " + theme_minimal()\n", " + theme(\n", " plot_title=element_text(ha='left'),\n", " axis_text_x=element_text(rotation=0),\n", " figure_size=(9, 6)\n", " )\n", ")\n", "\n", "display(heatmap)\n", "\n", "# Summarise:\n", "safe_cells = heat_df[heat_df['Meets_Target']]\n", "risky_cells = heat_df[~heat_df['Meets_Target']]\n", "\n", "print(f\"\\nAt Week {target_week}:\")\n", "print(f\" {len(safe_cells)}/{len(heat_df)} scenarios meet the 90% target (Green cells)\")\n", "print(f\" {len(risky_cells)}/{len(heat_df)} scenarios fall below 90% (Red/Orange cells)\")\n", "\n", "if not risky_cells.empty:\n", " print(f\"\\n Risky combinations (< 90%):\")\n", " for _, row in risky_cells.iterrows():\n", " print(f\" rev {row['Rev_Shock']}, cost {row['Cost_Shock']} → {row['Prob']:.1%}\")" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Week 10 median before repayment: $3,011,753\n", "Week 10 median after repayment: $885,225\n", "Week 10 10th percentile: $2,621,297\n", "Week 16 median surplus after repayment: $2,097,445\n" ] } ], "source": [ "rnd.seed(888)\n", "# --- Week 10 liquidity detail ---\n", "balances_w10 = [cash_forecast(model, first_forecast_week, 10) for _ in range(500)]\n", "s10 = pd.Series(balances_w10)\n", "median_pre_10 = s10.median() # ≈ $3.01M\n", "p10_10 = s10.quantile(0.10) # ≈ $2.62M\n", "median_post_10 = median_pre_10 - model['OB_BankLoan'] # ≈ $885K\n", "\n", "rnd.seed(888)\n", "# --- Week 16 surplus ---\n", "balances_w16 = [cash_forecast(model, first_forecast_week, 16) for _ in range(500)]\n", "s16 = pd.Series(balances_w16)\n", "surplus_16 = s16.median() - model['OB_BankLoan'] # ≈ $2.09M\n", "\n", "print(f\"Week 10 median before repayment: ${median_pre_10:,.0f}\")\n", "print(f\"Week 10 median after repayment: ${median_post_10:,.0f}\")\n", "print(f\"Week 10 10th percentile: ${p10_10:,.0f}\")\n", "print(f\"Week 16 median surplus after repayment: ${surplus_16:,.0f}\")" ] } ], "metadata": { "kernelspec": { "display_name": "Python [conda env:base] *", "language": "python", "name": "conda-base-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.9" } }, "nbformat": 4, "nbformat_minor": 4 }