Participants should be able to build a well structured three statement financial model for companies in manufacturing & service sectors.
They should also be able to build trading comps and DCF models
Who should attend?
Professionals aspiring for career in valuation, equity research, investment banking, general purpose financial models
Course Structure
Day 1
Session 1
MS Excel for financial modelling
MS Excel best practices for financial modelling
Working with Tables
Set functions (Sumifs, Countifs, etc)
Lookup functions
Financial function
Session 2
Steps in building a financial model
CAGR vs arithmetic mean
Enhanced application of TVM concepts
Numerical series (AP/GP) applications in financial modelling
Handling circular references through algebra
Session 3
IndAS and challenges to analyzing historicals
Overview of IndAS 109, IndAS 115, and IndAS 116
Impact of change in standards on historical financials
Session 4
Modelling revenue
Identifying the right business drivers
Computing organic and inorganic growth rates
Modelling with volume and price
Complex revenue modelling
Session 5
Modelling expense as percentage of sales
Reading fixed asset schedule
Modelling capex and depreciation
Capex and depreciation modelling under SLM method
Day 2
Session 6
Modelling debt and interest
Reading debt schedule
Calculating effective interest rate
Modelling repayments
Forecasting future borrowings
Modelling short term debt with cash sweep
Debt sculpting using LLCR
Session 7
Modelling other line items
Modelling non-operating income
Modelling taxes
Modelling minority interest
Modelling basic and diluted EPS
Session 8
Integrating financial models
Linking income statement and balance sheet
Modelling cash flow statement
Creating checks
Troubleshooting balance sheet mismatch
Session 9
Valuation
Approaches to valuation
Firm value and equity value
DCF modelling principles and practice
Preparing trading comps
Preparing transaction comps
Filter extreme values in trading / transaction comps
Sensitivity analysis
Trainer Profile
The trainer has rich expertise in advanced financial modelling, advanced MS Excel, IFRS, capital markets and wealth management. He teaches various courses including financial modelling, financial engineering and actuarial science. He is CA ,CFA and FRM by education .