Day One
Introduction & Course Objectives
Financial modelling in Excel training begins by setting clear foundations and covering the following areas:
- Overview of course objectives
- Review of models and their objectives
Overall Model Structure & Design
- Best financial modelling practice
- Overall structure of the model
- Logic flow within the model
- Separation of inputs, calculations and outputs
- Defining desired outputs
- Setting-up required inputs
- Use of switches to allow option selection
- Use of flags to control timing factors
- Set up for flexibility
- Consistency in the model
- Accommodating multiple options
- This Excel for financial modelling course explores building assumptions off term sheets or other external inputs
- Using the assumptions sheets as a sign-off document
- Restricting ranges of inputs and validation criteria
- Version control
- Use of the corkscrew technique
- Tracking changes
- Documentation
- Exercise – creating a simple model with an assumptions/input sheet with built-in flexibility
Modelling Techniques for Revenue and Cost Forecasts
- Translating assumptions & inputs into a model forecast:
- Overall growth
- Split volume and price
- Split volume into market growth and market share
- Top-down market sizing, market share and price
- Build-up of construction or other capital costs
- Correct matching of units
- Modelling pricing & revenue assumptions
- Use of lookup and INDEX/MATCH functions to change expenditure timings
- Building in sensitivities into the model
- Exercises:
- Build up revenue forecasts with different techniques and granularity levels
- Build a capex forecast with flexible timing
Day Two
Inflation / Escalation Factors
Day Two of this Excel course for financial modelling builds on core concepts by exploring how inflation and escalation factors are modelled and controlled, including:
- Creating inflation indices
- Controlling the start time of the inflationary pattern
- Applying multiple rates to different cost & revenue items
- Varying inflation rates over the life of the model
- Exercise – model multiple variable inflation rates, with different starting points and changing rates over the life of the model
Cash Flow Modelling
- Differences between the income statement and the cash flow
- Organising cash flow statements
- What is working capital?
- Modelling changes in receivables, inventory, and payables
- Income statement items that are not cash: adjustments needed
- Cash items not in the income statement: adjustments needed
- Financing cash flows: changes in debt & equity
- Revolving facilities and their role in cash flow forecasting are covered during this financial modelling Excel course
- Exercise: create a cash flow model to forecast cash inflows and outflows for a trading business, drawing on revolving facilities as needed.
Comparing a Model to Previous Versions of the Model
- Separate runs and variation of inputs
- Comparison of actuals to forecast
- Comparing the results of different versions of the same model
- Reviewing future implications of variances
- Example – from different versions of a modelled forecast, calculate variances and review future assumptions
Day Three
Sensitivity Analysis in a Model
Day Three of this Excel modelling course explores sensitivity analysis tools and techniques to test assumptions, compare outcomes, and understand model risk, including:
- Stress-testing the model
- Varying inputs to assess the effect on results
- Use of built-in sensitivity inputs
- Use of goal seek & solver
- Version control to allow comparison of outputs
- Use of Excel tools to support sensitivity analysis:
- watch window function
- data tables
- scenario manager
- Exercise – from a given model of cash flows, P&L and balance sheet, calculate effect of varying inputs to a given degree, and stress-test model to break-even.
Reporting Outputs
- Design techniques to enable optimisation
- Consolidation techniques:
- Add-through
- Sum-through
- Sum & Group
- Consolidate function in Excel
- Use of charts & graphics
- Using pivot tables:
- Pivot table wizard
- Setting-up tables
- Changing parameters
- Analysing pivot table data
- Drill-down function
- Exercise – from a given set of outputs, create output tables, pivot tables and consolidations to enable flexible reporting
Advanced Excel Functions
- Advanced financial mathematics – PMT, PPMT, IPMT, NPER
- Summation & counting functions in Excel: COUNT, COUNTA, COUNTIF, AVERAGE, AVERAGEIF, SUMIF, SUMIFS
- This Excel course for financial modelling covers statistical functions in Excel
- Depreciation functions in Excel
- Date and time functions in Excel
- Lookup and Reference formulae: Lookups, OFFSET and MATCH formulae
- Logical functions – using TRUE, FALSE, IF, AND & OR in combination
- Text functions in Excel: LEFT, RIGHT, MID, LEN and wildcard
- Exercises:
- Model a loan using some of the advanced functions learned
- Summarise messy data without cleaning it, using text functions
Wrap-Up
Financial modelling in Excel training concludes with:
- Overall review
- Key points to reiterate
- Brief introduction to further exercises and reading
- Final questions and issues to discuss
Please note - Sessions can be tailored to your needs, combining a flexible mix of modules and topics to fit your team’s priorities and preferred duration.