People
People Doctoral Students PhD Representatives Alumni Supervisors Lecturers Coordinators Doctoral Students Afroza Alam (Supervisor: Reint Gropp ) Julian Andres Diaz Acosta…
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Medienecho
Medienecho April 2025 IWH: Trump schadet Dax-Konzernen in: Focus Money, 02.04.2025 Reint Gropp: Mithalten? Warum nicht in: Süddeutsche Zeitung, 02.04.2025 Reint Gropp: Wie…
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Search Symbols, Trading Performance, and Investor Participation
Yin-Siang Huang, Hui-Ching Chuang, Iftekhar Hasan, Chih-Yung Lin
International Review of Economics and Finance,
April
2024
Abstract
We investigate the relationships among search symbols, trading performance, and investor participation. We use two specific datasets from Google Trends’ search volume index. The search volume by number ticker significantly predicts high returns and high investor participation when applied by active retail investors investing in large firms. This does not hold true for less active retail investors who use Chinese company name tickers as their search terms. Our results indicate that the heuristic usage of number tickers to search for company information helps active retail investors to obtain better trading performance compared with less active retail investors who use Chinese company name tickers.
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Do Public Bank Guarantees Affect Labor Market Outcomes? Evidence from Individual Employment and Wages
Laura Baessler, Georg Gebhardt, Reint E. Gropp, Andre Guettler, Ahmet Taskin
IWH Discussion Papers,
Nr. 7,
2024
Abstract
We investigate whether employees in Germany benefit from public bank guarantees in terms of employment probability and wages. To that end, we exploit the removal of public bank guarantees in Germany in 2001 as a quasi-natural experiment. Our results show that bank guarantees lead to higher employment, but lower wage prospects for employees after working in affected establishments. Overall the results suggest that employees do not benefit from bank guarantees.
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Forecasting Economic Activity Using a Neural Network in Uncertain Times: Monte Carlo Evidence and Application to the
German GDP
Oliver Holtemöller, Boris Kozyrev
IWH Discussion Papers,
Nr. 6,
2024
Abstract
In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN). We provide evidence from Monte Carlo simulations for the relative forecast performance of GRNN depending on the data-generating process. We show that GRNN outperforms an autoregressive benchmark model in many practically relevant cases. Then, we applied GRNN to forecast quarterly German GDP growth by extending univariate GRNN to multivariate and mixed-frequency settings. We could distinguish between “normal” times and situations where the time-series behavior is very different from “normal” times such as during the COVID-19 recession and recovery. GRNN was superior in terms of root mean forecast errors compared to an autoregressive model and to more sophisticated approaches such as dynamic factor models if applied appropriately.
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DPE Course Programme Archive
DPE Course Programme Archive 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2025 Microeconomics several lecturers winter term 2024/2025 (IWH) Econometrics…
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Lecturers
Lecturers at CGDE Institutions Jordan Adamson Assistant Professor at Institute for Empirical Economic Research, Leipzig University. Website Course: Econometrics (winter term…
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Das IWH auf der ASSA-Jahrestagung 2020 in San Diego
Das IWH auf der ASSA-Jahrestagung 2020 in San Diego Die American Economic Association (AEA) organisiert vom 3. bis 5. Januar 2020 die jährlich stattfindende ASSA-Tagung in San…
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Archiv
Medienecho-Archiv 2021 2020 2019 2018 2017 2016 Dezember 2021 IWH: Ausblick auf Wirtschaftsjahr 2022 in Sachsen mit Bezug auf IWH-Prognose zu Ostdeutschland: "Warum Sachsens…
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Supranational Rules, National Discretion: Increasing versus Inflating Regulatory Bank Capital?
Reint E. Gropp, Thomas Mosk, Steven Ongena, Ines Simac, Carlo Wix
Journal of Financial and Quantitative Analysis,
Nr. 2,
2024
Abstract
We study how banks use “regulatory adjustments” to inflate their regulatory capital ratios and whether this depends on forbearance on the part of national authorities. Using the 2011 EBA capital exercise as a quasi-natural experiment, we find that banks substantially inflated their levels of regulatory capital via a reduction in regulatory adjustments — without a commensurate increase in book equity and without a reduction in bank risk. We document substantial heterogeneity in regulatory capital inflation across countries, suggesting that national authorities forbear their domestic banks to meet supranational requirements, with a focus on short-term economic considerations.
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