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Macroeconomic Effects from Sovereign Risk vs. Knightian Uncertainty ...
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Speed Projects Hier finden Sie die IWH EXplore Speed Projects chronologisch...
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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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BigTech Credit, Small Business, and Monetary Policy Transmission: Theory and Evidence
Yiping Huang, Xiang Li, Han Qiu, Dan Su, Changhua Yu
IWH Discussion Papers,
Nr. 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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Climate Change-Related Regulatory Risks and Bank Lending
Isabella Müller, Eleonora Sfrappini
ECB Working Paper,
Nr. 2670,
2022
Abstract
We identify the effect of climate change-related regulatory risks on credit real-location. Our evidence suggests that effects depend borrower's region. Following an increase in salience of regulatory risks, banks reallocate credit to US firms that could be negatively impacted by regulatory interventions. Conversely, in Europe, banks lend more to firms that could benefit from environmental regulation. The effect is moderated by banks' own loan portfolio composition. Banks with a portfolio tilted towards firms that could be negatively a affected by environmental policies increasingly support these firms. Overall, our results indicate that financial implications of regulation associated with climate change appear to be the main drivers of banks' behavior.
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