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1. Introduction to operational risk
management & modelling
2. Random variables, risk indicators
& probability
3. Expectation, covariance, variance
& correlation
4. Modeling central tendency &
variability of operational risk indicators
5. Measuring skew & fat tails of
operational risk indicators
6. Statistical testing of operational
risk parameters
7. Severity of loss probability
models
8. Frequency of loss probability
models
9. Modeling Aggregate Loss
distributions
10. The law of significant digits &
fraud risk identification
11. Correlation & dependence
12. Linear Regression in Operational
Risk Management
13. Logistic regression in
operational risk management
14. Mixed dependent variable
modelling
15. Validating operational risk
proxies using surrogate endpoints
16. Introduction to extreme value
theory
17. Managing operational risk with
Bayesian belief networks
18. Epilogue |