Chair of Financial Econometrics Financial Econometrics is the methodological discipline meeting the empirical needs of the economics of capital markets and quantitative finance. Grown out of the narrow focus of time series analysis of financial data, Financial Econometrics develops statistical and econometric methods tailored to the analysis of capital markets. Core questions are: price formation, risk assessment and modeling multivariate dependencies; description and prediction of financial quantities, such as prices, returns, order flows, variances or other moments; parameter estimation and inference in capital market models. In this sense, Financial Econometrics makes methodological contributions to test hypotheses about the mechanics of capital markets and thus fosters our understanding of financial markets in general. Research interests: Model risk of structured products Modeling of implied volatility under no-arbitrage constraints Modeling of realised variance Modeling of dynamic dependencies in high dimensional stochastic systems Non- and semiparametric estimation methods in Finance Efficacy and performance of static and dynamic hedging strategies for derivatives Teaching: Bachelor students are offered an introduction into topics in financial econometrics; a selection of these topics is treated in more detail at the Master's level. Aside from the theoretical education, special focus is given to PC-Lab exercises. It is expected that bachelor and master theses have an empirical part.