Rigorous theoretical background of modern financial economics mostly in discrete time. Relationship of state-preferences, risk-neutral probabilities and pricing kernel. The fundamental theorem of financial economics: existence of a positive SDF and no-arbitrage. Relationship of stochastic discount factor representation of asset pricing models, mean-variance frontier and expected return-beta representations. Recent advances in financial economics, e.g. long-run-risk modeling, rare disaster risk, habit formation. Practical course uses software SAS for empirical analysis. Applications cover aspects from reading data management, working with financial time series, empirical tests of the CAPM, event study analysis, financial distress models, and the analysis of financial transaction data.
