Risk Modelling

AY2016/2017 Semester 1

This course introduces students to the principles of probability theory and risk simulation analysis. Specific topics covered include probability theory; descriptive statistics and graphical representations of data; probability distribution functions; sampling distributions and the Central Limit Theorem; estimation and goodness-of-fit tests; and static and dynamic Monte Carlo simulation models. The applications are drawn from a variety of areas where risk analysis has become important including finance, insurance, corporate risk management and personal financial planning.