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1 - EXCEL TOOLS: FINANCIAL, ECONOMIC AND ACTUARIAL CALCULUS

  • 1. Tables and Simulations
  • 2. Dates, calendars and scheduling
  • 3. Web interfaces and data collection
  • 4. Circularity and Cross Tab Table
  • 5. Matrix calculations
  • 6. Statistical and Financial Excel functions
  • 7. Eigenvalues and Eigenvectors
  • 8. Random Number generation
  • 9. Loans and Leasing
  • 10. Zero-coupon and forward rates
  • 11. Bond Calculus
  • 12. Theory of arbitrage - risk neutral probability
  • 13. Counterparty risk indicators
  • 14. Volatility and Garch model
  • 15. Life Insurance - Premiums in case of non death
  • 16. Life Insurance - Premiums in case of death
  • 17. Non Life Insurance - Chain Ladder

2 - FINANCIAL PRODUCTS AND MODELS

  • 1. FX Market : spot and forward
  • 2. FX: option
  • 3. Swaps valuation
  • 4. Option valuation – BSM model
  • 5. Option valuation – Binomial model
  • 6. Digital options
  • 7. Digital barrier options
  • 8. Look back and Asian options
  • 9. Options with 2 underlying Assets
  • 10. Credit Default Swaps
  • 11. Convertible options

3 - MARKET RISK CONTROL

  • 1. Value At Risk and Expected Shortfall - historic method
  • 2. Value At Risk and Expected Shortfall – parametric method
  • 3. VAR Analysis
  • 4. Monte Carlo VAR and Quasi Monte Carlo
  • 5. Principal Component Analysis - PCA VAR
  • 6. Counterparty risk and Credit risk
  • 7. Operational risk

4 – FINANCIAL CONTROL AND PRODUCT CONTROL

  • 1. Portfolio management – Markovitz model
  • 2. Portfolio management – Advanced Markovitz model
  • 3. Zero weighted portfolio : self financing portfolio
  • 4. CAPM and BETA
  • 5. Portfolio management – Black Litterman model
  • 6. Loan Profit and Loss
  • 7. FX Profit and Loss
  • 8. Performance on Asset portfolio
  • 9. Performance Attribution - Brinson Method

5 – PROJECT FINANCE

  • 1. Tools for modelling with Excel
  • 2. Modelling with Excel - cash flow simulations
  • 3. Modelling with Excel - accounting simulations
  • 4. Modelling with Excel – ratios and returns
  • 5. Modelling with Excel – scenario simulations

6 - DATA SCIENCE - DATA ANALYSIS

  • 1. Simple and multiple regression
  • 2. General Analysis and CPA
  • 3. Linear Discriminant Analysis and classification
  • 4. Correspondance and Multiple Correspondance Analysis