Research Clusters
Three Research Clusters Research Cluster "Economic Dynamics and Stability" Research Questions This cluster focuses on empirical analyses of macroeconomic dynamics and stability.…
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Brown Bag Seminar
Brown Bag Seminar Financial Markets Department The seminar series "Brown Bag Seminar" was offered on a regular basis by members of the Financial Markets department and their…
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Speed Projects
Speed Projects On this page, you will find the IWH EXplore Speed Projects in chronologically descending order. 2021 2020 2019 2018 2017 2016 2015 2014 2022 SPEED 2022/02…
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Economic Preferences for Risk-Taking and Financing Costs
Manthos D. Delis, Iftekhar Hasan, Maria Iosifidi, Chris Tsoumas
Journal of Corporate Finance,
June
2023
Abstract
We hypothesize and empirically establish that economic preferences for risk-taking in different subnational regions affect firm financing costs. We study this hypothesis by hand-matching firms' regions worldwide with the corresponding regional economic risk-taking preferences. We first show that higher regional risk-taking is positively associated with several measures of firm risk and investments. Subsequently, our baseline results show that credit and bond pricing increase when risk-taking preferences increase. For the loan of average size and maturity a one-standard-deviation increase in regional risk-taking increases interest expense by $0.54 million USD. We also find that these results are demand (firm)-driven and stronger for firms with more local shareholders.
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Hollywood, Wall Street, and Mistrusting Individual Investors
Guido Lenz, Maximilian Mayer
Journal of Economic Behavior and Organization,
June
2023
Abstract
Individual investors reduce their trading activity in financial markets after the release of negatively biased Hollywood movies related to financial markets. These movies regularly depict financial markets and professionals active in them as marked by greed and corruption (Lichter et al. 1997). This decline in trading activity at the extensive margin comes together with depressed investor sentiment marked by higher likelihoods and volumes of selling than of buying transactions by those investors still active. Their avoidance of investing in and tendency to trade out of stocks related to companies in the financial industry, as well as their shift from actively managed mutual funds to passive vehicles (ETFs), provide evidence for the deterioration of investors’ trust in the financial industry and its managers. This channel is in line with existing literature on subjective beliefs in investment decisions and the impact of biased media coverage, such as the negative depiction of financial markets, shareholders, and managers in Hollywood movies.
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COVID-19 Pandemic and Global Corporate CDS Spreads
Iftekhar Hasan, Miriam Marra, Thomas Y. To, Eliza Wu, Gaiyan Zhang
Journal of Banking and Finance,
February
2023
Abstract
We examine the impact of the COVID-19 pandemic on the credit risk of companies around the world. We find that increased infection rates affect firms more adversely as reflected by the wider increase in their credit default swap (CDS) spreads if they are larger, more leveraged, closer to default, have worse governance and more limited stakeholder engagement, and operate in more highly exposed industries. We observe that country-level determinants such as GDP, political stability, foreign direct investment, and commitment to crisis management (income support, health and lockdown policies) also affect the sensitivity of CDS spreads to COVID-19 infection rates. A negative amplification effect exists for firms with high default probability in countries with fiscal constraints. A direct comparison between global CDS and stock markets reveals that the CDS market prices in a distinct set of corporate traits and government policies in pandemic times.
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Correlation Scenarios and Correlation Stress Testing
Natalie Packham, Fabian Wöbbeking
Journal of Economic Behavior and Organization,
January
2023
Abstract
We develop a general approach for stress testing correlations of financial asset portfolios. The correlation matrix of asset returns is specified in a parametric form, where correlations are represented as a function of risk factors, such as country and industry factors. A sparse factor structure linking assets and risk factors is built using Bayesian variable selection methods. Regular calibration yields a joint distribution of economically meaningful stress scenarios of the factors. As such, the method also lends itself as a reverse stress testing framework: using the Mahalanobis distance or Highest Density Regions (HDR) on the joint risk factor distribution allows to infer worst-case correlation scenarios. We give examples of stress tests on a large portfolio of European and North American stocks.
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The Disciplining Effect of Supervisory Scrutiny in the EU-wide Stress Test
Christoffer Kok, Carola Müller, Steven Ongena, Cosimo Pancaro
Journal of Financial Intermediation,
January
2023
Abstract
Relying on confidential supervisory data related to the 2016 EU-wide stress test, this paper presents novel empirical evidence that supervisory scrutiny associated to stress testing has a disciplining effect on bank risk. We find that banks that participated in the 2016 EU-wide stress test subsequently reduced their credit risk relative to banks that were not part of this exercise. Relying on new metrics for supervisory scrutiny that measure the quantity, potential impact, and duration of interactions between banks and supervisors during the stress test, we find that the disciplining effect is stronger for banks subject to more intrusive supervisory scrutiny during the exercise. We also find that a strong risk management culture is a prerequisite for the supervisory scrutiny to be effective. Finally, we show that a similar disciplining effect is not exerted neither by higher capital charges nor by more transparency and related market discipline induced by the stress test.
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Zinsaufschlag oder Übertragung durch Verbriefung? Der Umgang mit Risiken im US-Hypothekenmarkt
Danny McGowan, Huyen Nguyen
Wirtschaft im Wandel,
No. 3,
2022
Abstract
Seit der Finanzkrise der Jahre 2007 und 2008 diskutiert die Wissenschaft darüber, wie Kreditgeber die Verbriefung von Hypotheken nutzen, um das Kreditrisiko an Dritte weiterzugeben, und wie dies zur Finanzkrise beigetragen hat. Eine aktuelle IWH-Studie betrachtet die Entscheidungssituation des Kreditgebers zwischen Risikoaufschlag und Risikoübertragung. Sie nutzt rechtliche Unterschiede in verschiedenen US-Bundesstaaten bei der Zwangsvollstreckung von Hypotheken, um daraus unterschiedliche regionale Kreditrisiken abzuleiten. Ist dieses regionale Risiko erhöht, reagieren Kreditgeber durch vermehrte Verbriefung, wenn Hypotheken zum Verkauf an halbstaatliche Agenturen (Government Sponsored Enterprises, GSE) wie Fannie Mae und Freddie Mac zugelassen sind und so gegen Ausfall versichert werden können. Bei Hypotheken, für die kein Rückkauf durch GSE infrage kommt, erhöhen die Kreditgeber dagegen die Zinsen, da sie das Kreditrisiko nicht an die Kreditkäufer weitergeben können.
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BigTech Credit, Small Business, and Monetary Policy Transmission: Theory and Evidence
Yiping Huang, Xiang Li, Han Qiu, Dan Su, Changhua Yu
IWH Discussion Papers,
No. 18,
2022
Abstract
This paper provides both theoretical and empirical analyses of the differences between BigTech lenders and traditional banks in response to monetary policy changes. Our model integrates Knightian uncertainty into portfolio selection and posits that BigTech lenders possess a diminishing informational advantage with increasing firm size, resulting in reduced ambiguity when lending to smaller firms. The model suggests that the key distinction between BigTech lenders and traditional banks in response to shifts in funding costs, triggered by monetary policy changes, is more evident at the extensive margin rather than the intensive margin, particularly during periods of easing monetary policy. Using a micro-level dataset of small business loans from both types of lenders, we provide empirical support for our theoretical propositions. Our results show that BigTech lenders are more responsive in establishing new lending relationships in an easing monetary policy environment, while the differences in loan amounts are not statistically significant. We also discuss other loan terms and the implications of regulatory policies.
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