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 Wed, 14. Jul 2021   Schwarzbach, Marco

Paper "A Comparison of Approaches to Select the Informativeness of Priors in BVARs"

The paper "A Comparison of Approaches to Select the Informativeness of Priors in BVARs" by Prof. Dr. Christoph Hanck and Dr. Jan Prüser was accepted for the internationally peer-reviewed Journal of Economics and Statistics. The...
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 Tue, 08. Jun 2021   Schwarzbach, Marco

Heisenberg-Application to the DFG Approved

The German Research Foundation (DFG) has approved Dr. Yannick Hoga's Heisenberg proposal on "Forecasting and Evaluating Measures of Systemic Risk" for five years. Yannick Hoga's project will focus on methodological developments...
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 Tue, 01. Jun 2021   Schwarzbach, Marco

Paper "Student's t mixture models for stock indices. A comparative study"

The paper "Student's t mixture models for stock indices. A comparative study" by Dr. Till Massing and Dr. Arturo Ramos was accepted for the internationally peer-reviewed journal Physica A: Statistical Mechanics and its...
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 Sat, 24. Apr 2021   Schwarzbach, Marco

Paper "Quantifying the data-dredging bias in structural break tests"

Dr. Yannick Hoga's authored paper, "Quantifying the data-dredging bias in structural break tests", was accepted for the internationally peer-reviewed journal Statistical Papers. The publication can be viewed here.
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 Thu, 01. Apr 2021   Schwarzbach, Marco

Paper "House prices and interest rates: Bayesian evidence from Germany"

The paper "House prices and interest rates: Bayesian evidence from Germany" by Prof. Dr. Christoph Hanck and Dr. Jan Prüser was accepted for the internationally peer-reviewed journal Applied Economics. The publication can be...
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 Fri, 26. Mar 2021   Schwarzbach, Marco

Paper "When is the Best Time to Learn? - Evidence from an Introductory Statistics Course"

The paper "When is the Best Time to Learn? - Evidence from an Introductory Statistics Course" by Prof. Dr. Christoph Hanck, Dr. Till Massing, Natalie Reckmann, Alexander Blasberg, Benjamin Otto and Prof. Dr. Michael Goedicke was...
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 Thu, 25. Feb 2021   Schwarzbach, Marco

Paper "Nonparametric estimation of the random coefficients model: An elastic net approach"

The paper "Nonparametric estimation of the random coefficients model: An elastic net approach" by Stephan Hetzenecker, Prof. Dr. Florian Heiss and Maximilian Osterhaus was accepted for the internationally peer-reviewed Journal of...
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 Thu, 25. Feb 2021   Schwarzbach, Marco

Paper "Modeling Time-Varying Tail Dependence, with Application to Systemic Risk Forecasting"

Dr. Yannick Hoga's authored paper, "Modeling Time-Varying Tail Dependence, with Application to Systemic Risk Forecasting", was accepted for the internationally peer-reviewed Journal of Financial Econometrics. The publication can...
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 Thu, 18. Feb 2021   Schwarzbach, Marco

Paper "Clustering Using Student t Mixture Copulas"

Dr. Till Massing's authored paper, "Clustering Using Student t Mixture Copulas", was accepted for the internationally peer-reviewed Journal SN Computer Science. The publication can be viewed here.
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 Wed, 03. Feb 2021   Schwarzbach, Marco

Conferral of a Doctorate of Matthias Kaeding

Despite the unusual time characterized by contact reduction, minimum distances and masks, the disputation of Matthias Kaeding took place last Monday. The Chair of Econometrics congratulates on the successfully completed PhD. Ma...
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 Tue, 05. Jan 2021   Schwarzbach, Marco

Verabschiedung Nils Paffen, Timo Rammert und Baran Tüysüz

Zum Ende des Jahres 2020 haben wir Nils Paffen, Timo Rammert und Baran Tüysüz von unserem Lehrstuhl verabschiedet. Wir bedauern es drei sehr geschätzte Kollegen zu verlieren, möchten uns jedoch zeitgleich für die hervorragende...
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 Fri, 13. Nov 2020   Rammert, Timo

German Science Foundation (DFG) funds project "Simulations- und Schätzverfahren allgemeiner temperierter Lévy Verteilungen”

The German Science Foundation (DFG) funds the project "Simulations- und Schätzverfahren allgemeiner temperierter Lévy Verteilungen” for three years. Dr. Till Massing will work on various projects regarding the simulation and...
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