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 Sat, 14. May 2022   Schwarzbach, Marco

Paper "Robust Inference under Time-Varying Volatility: A Real-Time Evaluation of Professional Forecasters"

The paper "Robust Inference under Time-Varying Volatility: A Real-Time Evaluation of Professional Forecasters" by Prof. Dr. Christoph Hanck, Prof. Dr. Matei Demetrescu and Prof. Dr. Robinson Kruse was accepted for the internationally peer-reviewed Journal of Applied Econometrics. The publication can be viewed here.

 Sun, 14. Dec 2025   Jan Dietz

Prof. Dr. Yannick Hoga appointed as Associate Editor des Journal of Financial Econometrics

The Faculty of Business Administration and Economics is pleased to announce the appointment of Prof. Dr. Yannick Hoga as Associate Editor of the Journal of Financial Econometrics, an internationally distributed, peer-reviewed...
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 Sun, 14. Dec 2025   Jan Dietz

Jobs für Studierende - ABZ-Online-Stellenmarkt

Ab dem 14.12.2025 ist der “studentische Stellenmarkt der Universität Duisburg-Essen (UDE)” auf dem Portal “Stellenwerk” wiederzufinden. Dort werden Jobangebote für studentische Hilfskräfte (SHK) und wissentschaftliche Hilfskräfte ...
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 Thu, 20. Nov 2025   Jan Dietz

Paper "Dynamic CoVaR Modeling and Estimation"

Prof. Dr. Yannick Hoga and Prof. Dr. Timo Dimitriadis have once again succeeded in publishing a contribution in the internationally peer-reviewed journal Journal of Business & Economic Statistics. The article titled “Dynamic CoVaR...
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 Tue, 14. Oct 2025   Jan Dietz

Podcast: Ersetzt KI bald den Prof? Mit Christoph Hanck

In der neusten Folge des Podcast Data Science Talks (#17 auf Spotify) diskutieren Prof. Dr. Christoph Hanck und Prof. Dr. Johannes Lederer (Uni Hamburg) über spannende Fragen rund um das Thema Lehre in Zeiten von generativer KI: ...
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 Fri, 26. Sept 2025

DFG project "Expected Shortfall Modelling" approved

The German Research Foundation (DFG) recently approved the third-party funded project “Expected Shortfall Modelling: Advances for Cross-Sectional and Time Series Data” for three years. Yannick Hoga will work on various projects in...
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 Thu, 11. Sept 2025

Econometric Seminar for Master Students (ALDI Süd Cooperation)

In the winter semester 2025/26, Prof. Dr. Christoph Hanck will offer in cooperation with Aldi Süd the Master’s/advanced seminar Econometric Methods. The seminar will cover forecasting methods from time series analysis and statisti...
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 Thu, 28. Aug 2025   Jan Dietz

Promotion von Daniel Ollech

Unser Kollege Daniel Ollech hat am 19. August erfolgreich seine Disputation zum Thema “New methods for seasonal adjustment” abgelegt. Wir als Lehrstuhl gratulieren Daniel herzlich zum erfolgreichen Abschluss seiner Promotion! Mit...
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 Fri, 14. Mar 2025

Promotion von Martin C. Arnold

Nicht nur auf dem Rennrad schafft Martin durch viel Ausdauer und Leidenschaft einen Meilenstein nach dem anderen, sondern auch beruflich. Wir gratulieren Martin herzlich zu seiner abgeschlossenen Promotion mit dem Titel “Econometr...
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 Tue, 10. Dec 2024   Großer, Jan-Lucas

Paper "Testing for nonlinear cointegration under heteroskedasticity"

The paper "Testing for nonlinear cointegration under heteroskedasticity", written by Prof. Dr. Christoph Hanck and Dr. Till Massing, has been accepted for publication in the peer-reviewed journal “Econometric Reviews”. The...
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 Fri, 18. Oct 2024   Großer, Jan-Lucas

Rent-an-expert

We encourage early career scientists facing challenges in Data Science, Artificial Intelligence, High Performance Computing, and Research Data Management to apply for this program. In reoccuring calls for application, you can...
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 Thu, 10. Oct 2024   Großer, Jan-Lucas

Farewell to Martin Arnold and Till Massing

We had to bid farewell to our highly esteemed colleagues Martin Arnold and Till Massing, who worked for more than ten years at the Chair of Econometrics. It is therefore appropriate to speak of the end of an era! Both have shaped...
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 Fri, 27. Sept 2024   Großer, Jan-Lucas

Econometrics Master Seminar - in cooperation with ALDI SÜD

In the winter term a seminar will be organized in cooperation with ALDI Süd. Topics covered, are the application of modern predictive tools from time series analysis and/or the statistical learning literature to real retail data....
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