Herding Behavior and Systemic Risk in Global Stock Markets
Iftekhar Hasan, Radu Tunaru, Davide Vioto
Journal of Empirical Finance,
September
2023
Abstract
This paper provides new evidence of herding due to non- and fundamental information in global equity markets. Using quantile regressions applied to daily data for 33 countries, we investigate herding during the Eurozone crisis, China’s market crash in 2015–2016, in the aftermath of the Brexit vote and during the Covid-19 Pandemic. We find significant evidence of herding driven by non-fundamental information in case of negative tail market conditions for most countries. This study also investigates the relationship between herding and systemic risk, suggesting that herding due to fundamentals increases when systemic risk increases more than when driven by non-fundamentals. Granger causality tests and Johansen’s vector error-correction model provide solid empirical evidence of a strong interrelationship between herding and systemic risk, entailing that herding behavior may be an ex-ante aspect of systemic risk, with a more relevant role played by herding based on fundamental information in increasing systemic risk.
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Media Response August 2024 Reint Gropp: Zorn und Zaudern in: Handelsblatt, 30.08.2024 Reint Gropp: Warum die Beschäftigung trotz Dauerkrise steigt in: Handelsblatt, 30.08.2024…
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Discrimination in Universal Social Programs? A Nationwide Field Experiment on Access to Child Care
Henning Hermes, Philipp Lergetporer, Fabian Mierisch, Frauke Peter, Simon Wiederhold
IWH Discussion Papers,
No. 12,
2023
Abstract
Although explicit discrimination in access to social programs is typically prohibited, more subtle forms of discrimination prior to the formal application process may still exist. Unveiling this phenomenon, we provide the first causal evidence of discrimination against migrants seeking child care. We send emails from fictitious parents to > 18, 000 early child care centers across Germany, inquiring about slot availability and application procedures. Randomly varying names to signal migration background, we find that migrants receive 4.4 percentage points fewer responses. Replies to migrants contain fewer slot offers, provide less helpful content, and are less encouraging. Exploring mechanisms using three additional treatments, we show that discrimination is stronger against migrant boys. This finding suggests that anticipated higher effort required for migrants partly drives discrimination, which is also supported by additional survey and administrative data. Our results highlight that difficult-to-detect discrimination in the pre-application phase could hinder migrants’ access to universal social programs.
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Completing the European Banking Union: Capital Cost Consequences for Credit Providers and Corporate Borrowers
Michael Koetter, Thomas Krause, Eleonora Sfrappini, Lena Tonzer
European Economic Review,
September
2022
Abstract
The bank recovery and resolution directive (BRRD) regulates the bail-in hierarchy to resolve distressed banks in the European Union (EU). Using the staggered BRRD implementation across 15 member states, we identify banks’ capital cost responses and subsequent pass-through to borrowers towards surprise elements due to national transposition details. Average bank capital costs increase heterogeneously across countries with strongest funding cost hikes observed for banks located in GIIPS and non-EMU countries. Only banks in core E(M)U countries that exhibit higher funding costs increase credit spreads for corporate borrowers and contract credit supply. Tighter credit conditions are only passed on to more levered and less profitable firms. On balance, the national implementation of BRRD appears to have strengthened financial system resilience without a pervasive hike in borrowing costs.
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A Note on the Use of Syndicated Loan Data
Isabella Müller, Felix Noth, Lena Tonzer
IWH Discussion Papers,
No. 17,
2022
Abstract
Syndicated loan data provided by DealScan has become an essential input in banking research over recent years. This data is rich enough to answer urging questions on bank lending, e.g., in the presence of financial shocks or climate change. However, many data options raise the question of how to choose the estimation sample. We employ a standard regression framework analyzing bank lending during the financial crisis to study how conventional but varying usages of DealScan affect the estimates. The key finding is that the direction of coefficients remains relatively robust. However, statistical significance seems to depend on the data and sampling choice.
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Gift-Exchange in Society and the Social Integration of Refugees: Evidence from a Field, a Laboratory, and a Survey Experiment
Sabrina Jeworrek, Bernd Josef Leisen, Vanessa Mertins
Journal of Economic Behavior and Organization,
December
2021
Abstract
Refugee integration requires broad support from the host society, but only a minority is actively engaged. Given that most individuals reciprocate kind behavior, we examine the idea that the proportion of supporters will increase as a reciprocal response to refugees’ contributions to society through volunteering. Our nationwide survey experiment shows that citizens’ intentions to contribute time and money rise significantly when they learn about refugees’ pro-social activities. However, we find a substantial heterogeneity in the observed treatment effects. Individuals with a high reciprocal inclination show higher willingness to contribute time, while individuals with a lower reciprocal inclination are ready to contribute money after learning about the refugees' good deeds. Information regarding the possibility to establish a mutual support relationship with the refugees does not generally increase the willingness to contribute time or money beyond the information on refugees’ general contributions to the society. We complement this investigation with experiments in the lab and the field that confirm our findings for actual behavior.
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Investment, output gap, and public finances in the medium term: Implications of the Second Supplementary Budget 2021
Andrej Drygalla, Katja Heinisch, Oliver Holtemöller, Axel Lindner, Götz Zeddies
Konjunktur aktuell,
No. 4,
2021
Abstract
Die Bundesregierung plant, mit dem Zweiten Nachtragshaushalt 2021 dem Energie- und Klimafonds eine Rücklage in Höhe von 60 Mrd. Euro zuzuführen. Die Mittel sollen in den Folgejahren in Investitionen in den Klimaschutz und die Transformation der Wirtschaft fließen und zugleich gesamtwirtschaftliche Folgekosten der Pandemie verringern. Diese pandemiebedingten Einbußen sind auch in der mittleren Frist erheblich. Zwar dürften Nachholeffekte beim privaten Konsum die im Jahr 2021 noch deutliche Unterauslastung bis zum Jahr 2024 vollständig verschwinden lassen. Jedoch liegt das Produktionspotenzial in den kommenden Jahren mehr als 1,5% unter dem Ende 2019 vom IWH prognostizierten Wert, vor allem wegen eines geringeren Arbeitsangebots, unter anderem aufgrund deutlich niedrigerer Zuwanderung von Arbeitskräften. Die Investitionen sind gemäß aktueller Mittelfristprojektion im Jahr 2024 ebenfalls noch deutlich niedriger. Die Effekte des Nachtragshaushalts auf Investitionstätigkeit und Produktion lassen sich mit Hilfe des finanzpolitischen Simulationsmodells des IWH abschätzen. Die beabsichtigten Mehrausgaben dürften auf dem Höhepunkt ihrer Wirksamkeit im Jahr 2024 die gesamtwirtschaftliche Aktivität um etwa 0,5% steigern. Allerdings werden die zusätzlichen Investitionen die seit Pandemiebeginn ausgebliebene Investitionstätigkeit bei Weitem nicht kompensieren können. Eine Bewertung des Nachtragshaushals hat die positiven gesamtwirtschaftlichen Effekte zusätzlicher Investitionen und die negativen Effekte auf die Glaubwürdigkeit der Schuldenbremse gegeneinander abzuwägen.
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Financing Choice and Local Economic Growth: Evidence from Brazil
Iftekhar Hasan, Thiago Christiano Silva, Benjamin Miranda Tabak
Journal of Economic Growth,
No. 3,
2021
Abstract
We study how financing non-traditional local activities, conceived here as a proxy for activity diversification, is associated with economic growth. We use municipality-level data from Brazil, a country with large geographical, social, and economic disparities observed across its more than 5500 municipalities. We find that finance to non-traditional local activities associates with higher municipal economic growth, suggesting a positive externality between the non-traditional and traditional sectors. Using large natural disasters in Brazil as sources of unexpected negative events, we find that this association between financing non-traditional local activities and economic growth becomes negative in times of distress. We find that traditional local sectors are more affected than non-traditional sectors following a natural disaster. Precisely because of the non-traditional sector’s dependence on the traditional sector, our results suggest that municipalities should restrengthen their traditional activities during adverse conditions.
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