
Risk Modeling in Insurance (MASTER)
Syllabus
Stochastic processes: Morkov chains in discrete and continuous time, Poisson process, Brownian motion, Markov processes, martingales.
Stochastic modelling: loss distributions, aggregate loss distributions, models of risk, risk process, credibility theory, reinsurance, stochastic reserving methods.
Risk management in insurance industry. Measuring and modelling of risk: VaR, simulation. Measuring, modelling and managing credit risk.
Difference equations, univariate time series models, vector autoregression, cointegrated vector autoregression. Simultaneous equations regressions model.
Contacts
Aleš Ahčan
Office hours
Wednesday at 11:00
room RZ-206