Actuarial Modeling - ACS 603

This course covers the following topics: severity, frequency and Aggregate models, impact of coverage provisions (deductibles, limits, coinsurance) on severity, frequency and aggregate models, risk measures (VaR, TVar), construction of Empirical Models and empirical using Kaplan Meier, Nelson Aalen and Kernel Density estimators, construction and selection of parametric models. It also studies estimation using Maximum Likelihood, Method of Moment, Percentile Matching and Bayesian estimation as well as determination of the acceptability of fitted models using Chi-Square, Kolmogrov - Smirnov, Anderson-Darling, Likelihood Ratio test and Schwarz Bayesian criterion. This course covers 60% of SOA exam C (Construction and Evaluation of Actuarial Models) and part of CT6 (Core Technical: Statistical Methods) exam of the Institute of Actuaries.