Chair of Financial Econometrics Financial Econometrics is the methodological discipline meeting the empirical needs of capital markets and quantitative finance. How can we best model time-varying volatility patterns of stock returns? How do stock returns comove in times of economic distress? What factors drive returns and volatility of a financial asset cross-sectionally? These are typical questions of interest in financial economics. Financial econometrics develops the models and methodological tools to answer them. While data driven from its early days, financial econometrics is nowadays heavily influenced by the mounting challenges of big data. The growing access to huge and hitherto unavailable data sets, such as high-frequency quotes and trade data, order book data, or financial text data, has opened a gateway to a fascinating range of new research areas. Research interests: Asset Pricing Risk Management Volatility modeling Textual analysis Teaching Activities: Current teaching activities range from introductory time series and data analytics classes at the Bachelor’s level to Master’s level classes in time series analysis, multivariate analysis, financial econometrics, and asset pricing.