The 2-day Private Equity and M&A Modeling program aims to equip the participants with knowledge and tools to develop a financial model with the objective of analyzing a merger and acquisition, private equity and LBO transaction.
Perform financing mix and accretion dilution analysis
Learn to apply scenario analysis and sensitivity analysis for M&A and private equity transactions
Project financial statements for a private and closely held company
Differentiate key modeling techniques between Modeling for Mezzanine Capital Investments and modeling for Investments in convertible structures
Master IRR analysis for a Private equity transaction
Learning structuring of finance for a LBO transaction
Learn circular reference technique
Who should attend
Professionals and graduate students working or aspiring to work in the field of investment banking, private equity, corporate finance, asset valuation and equity research.
Projecting financials for a private/closely held company
Understanding Pre and Post Money Valuation and Modeling for exit strategies
Modeling Private Equity IRR
Sensitivity Analysis for Private Equity
Charting for Private Equity modeling
Debt structuring for LBO modeling
Case Study: Emerging Market Healthcare Deal
Financing Mix and Accretion-Dilution Analysis
Merger Mix Analysis
Contribution and Breakeven Analysis
Sensitivity Analysis using data tables and Scenario Analysis
Charting for M&A modeling
Case Study: Middle East Real Estate Deal
Karan Sharma, CFA
Over 8 years of experience in M&A advisory, financial modelling, buy side equity research, advanced excel and financial statement analysis.
Currently there are no public classes/sessions scheduled for this course yet. For any in-house or private training, please contact us.
The fee includes presentation material, refreshments and networking lunch.
Get 20% discount on the course fee, if you are a CIMA or IMA member
Get 20% discount, when four or more individuals register.
Get 15% discount, if you are a Past Student who has completed a course with us.
Get 10% discount, when you register 2 weeks prior to the course start date.