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The Chair of Econometrics and Financial Econometrics conduct research and teaching on quantitative methods. Research is focused on the construction of inferential methods, applications of Bayesian statistics and machine learning, time series and panel data methods and applications, as well as learning analytics. The chairs offer several compulsory for different programs (business, economics, business informatics and econometrics, among others) from introductory lectures until Phd-level courses. We also offer courses on current research topics, such as Bayesian econometrics, causal inference, financial econometrics, extreme value theory and statistical learning. also offered.
Thu, 25. Feb 2021 Schwarzbach, Marco
Paper "Modeling Time-Varying Tail Dependence, with Application to Systemic Risk Forecasting"
Thu, 18. Feb 2021 Schwarzbach, Marco
Paper "Clustering Using Student t Mixture Copulas"
Fri, 13. Nov 2020 Rammert, Timo
German Science Foundation (DFG) funds project "Simulations- und Schätzverfahren allgemeiner temperierter Lévy Verteilungen”
Thu, 29. Oct 2020 Rammert, Timo
Paper "The Uncertainty in Extreme Risk Forecasts from Covariate-Augmented Volatility Models"
Sat, 18. Apr 2020 Rammert, Timo
Paper "On the parametric description of log-growth rates of cities’ sizes of four European countries and the USA"
Mon, 06. Jan 2020 Rammert, Timo
Paper "Where does the tail begin? An approach based on scoring rules"
Mon, 23. Sept 2019 Rammert, Timo
Paper "Limit Theory for Forecasts of Extreme Distortion Risk Measures and Expectiles"
Mon, 09. Sept 2019 Rammert, Timo
Paper "What is the best Lévy model for stock indices? A comparative study with a view to time consistency" published.
Fri, 12. Jul 2019 Arnold, Martin
Paper "On Combining Evidence from Heteroskedasticity Robust Panel Unit Root Tests in Pooled Regressions" published.
Tue, 21. May 2019 Rammert, Timo
Paper "Local asymptotic normality for Student-Lévy processes under high-frequency sampling" published.
Mon, 11. Feb 2019 Schmelzer, Martin
Paper "E-Assessment Using Variable-Content Exercises in Mathematical Statistics" published.
Thu, 10. Jan 2019 Rammert, Timo
Paper "Extending the Limits of Backtesting via the ‘Vanishing p’ Approach"
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