Shareholder Bargaining Power and the Emergence of Empty Creditors
Stefano Colonnello, M. Efing, Francesca Zucchi
Journal of Financial Economics,
No. 2,
2019
Abstract
Credit default swaps (CDSs) can create empty creditors who potentially force borrowers into inefficient bankruptcy but also reduce shareholders’ incentives to default strategically. We show theoretically and empirically that the presence and the effects of empty creditors on firm outcomes depend on the distribution of bargaining power among claimholders. If creditors would face powerful shareholders in debt renegotiation, firms are more likely to face the empty creditor problem. The empirical evidence confirms that more CDS insurance is written on firms with strong shareholders and that CDSs increase the bankruptcy risk of these same firms. The ensuing effect on firm value is negative.
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Pricing Sin Stocks: Ethical Preference vs. Risk Aversion
Stefano Colonnello, Giuliano Curatola, Alessandro Gioffré
European Economic Review,
2019
Abstract
We develop an ethical preference-based model that reproduces the average return and volatility spread between sin and non-sin stocks. Our investors do not necessarily boycott sin companies. Rather, they are open to invest in any company while trading off dividends against ethicalness. When dividends and ethicalness are complementary goods and investors are sufficiently risk averse, the model predicts that the dividend share of sin companies exhibits a positive relation with the future return and volatility spreads. An empirical analysis supports the model’s predictions. Taken together, our results point to the importance of ethical preferences for investors’ portfolio choices and asset prices.
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A Capital Structure Channel of Monetary Policy
Benjamin Grosse-Rueschkamp, Sascha Steffen, Daniel Streitz
Journal of Financial Economics,
No. 2,
2019
Abstract
We study the transmission channels from central banks’ quantitative easing programs via the banking sector when central banks start purchasing corporate bonds. We find evidence consistent with a “capital structure channel” of monetary policy. The announcement of central bank purchases reduces the bond yields of firms whose bonds are eligible for central bank purchases. These firms substitute bank term loans with bond debt, thereby relaxing banks’ lending constraints: banks with low tier-1 ratios and high nonperforming loans increase lending to private (and profitable) firms, which experience a growth in investment. The credit reallocation increases banks’ risk-taking in corporate credit.
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What Does Peer-to-Peer Lending Evidence Say About the Risk-taking Channel of Monetary Policy?
Yiping Huang, Xiang Li, Chu Wang
Abstract
This paper uses loan application-level data from a Chinese peer-to-peer lending platform to study the risk-taking channel of monetary policy. By employing a direct ex-ante measure of risk-taking and estimating the simultaneous equations of loan approval and loan amount, we are the first to provide quantitative evidence of the impact of monetary policy on the risk-taking of nonbank financial institution. We find that the search-for-yield is the main workhorse of the risk-taking effect, while we do not observe consistent findings of risk-shifting from the liquidity change. Monetary policy easing is associated with a higher probability of granting loans to risky borrowers and a greater riskiness of credit allocation, but these changes do not necessarily relate to a larger loan amount on average.
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What Does Peer-to-Peer Lending Evidence Say About the Risk-taking Channel of Monetary Policy?
Yiping Huang, Xiang Li, Chu Wang
Abstract
This paper uses loan application-level data from a peer-to-peer lending platform to study the risk-taking channel of monetary policy. By employing a direct ex-ante measure of risk-taking and estimating the simultaneous equations of loan approval and loan amount, we are the first to provide quantitative evidence of the impact of monetary policy on the risk-taking of nonbank financial institution. We find that the search-for-yield is the main workhorse of the risk-taking effect, while we do not observe consistent findings of risk-shifting from the liquidity change. Monetary policy easing is associated with a higher probability of granting loans to risky borrowers and a greater riskiness of credit allocation, but these changes do not necessarily relate to a larger loan amount on average.
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Significant Cooling of the Economy — Political Risks High
Roland Döhrn, Oliver Holtemöller, Stefan Kooths, Claus Michelsen, Timo Wollmershäuser
Wirtschaftsdienst,
No. 4,
2019
Abstract
Die Konjunktur in Deutschland hat sich seit Mitte des Jahres 2018 merklich abgekühlt. Der langjährige Aufschwung ist damit offenbar zu einem Ende gekommen. Die schwächere Dynamik wurde sowohl vom internationalen Umfeld als auch von branchenspezifischen Ereignissen ausgelöst. Die weltwirtschaftlichen Rahmenbedingungen haben sich — auch aufgrund politischer Risiken — eingetrübt, und das Verarbeitende Gewerbe hat mit Produktionshemmnissen zu kämpfen. Die deutsche Wirtschaft durchläuft nunmehr eine Abkühlungsphase, in der die gesamtwirtschaftliche Überauslastung zurückgeht.
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Enforcement of Banking Regulation and the Cost of Borrowing
Yota D. Deli, Manthos D. Delis, Iftekhar Hasan, Liuling Liu
Journal of Banking and Finance,
April
2019
Abstract
We show that borrowing firms benefit substantially from important enforcement actions issued on U.S. banks for safety and soundness reasons. Using hand-collected data on such actions from the main three U.S. regulators and syndicated loan deals over the years 1997–2014, we find that enforcement actions decrease the total cost of borrowing by approximately 22 basis points (or $4.6 million interest for the average loan). We attribute our finding to a competition-reputation effect that works over and above the lower risk of punished banks post-enforcement and survives in a number of sensitivity tests. We also find that this effect persists for approximately four years post-enforcement.
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04.04.2019 • 9/2019
Joint Economic Forecast Spring 2019: Significant cooling of the economy – Political risks high
Berlin, April 4 – Germany’s leading economics research institutes have revised their forecasts for economic growth in 2019 significantly downward. They expect Germany’s gross domestic product to increase by 0.8%. This is more than one percentage point less than in autumn 2018, when the forecast was still for 1.9% growth. In contrast, the institutes confirm their previous forecast for the year 2020: gross domestic product is expected to increase by 1.8%. These are the results of the Joint Economic Forecast for spring 2019, which will be presented in Berlin on Thursday.
Oliver Holtemöller
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Significant Cooling of the Economy – Political Risks High: Joint Economic Forecast Spring 2019
Dienstleistungsauftrag des Bundesministeriums für Wirtschaft und Energie,
No. 1,
2019
Abstract
Die Konjunktur in Deutschland hat sich seit Mitte des Jahres 2018 merklich abgekühlt. Der langjährige Aufschwung ist damit offenbar zu einem Ende gekommen. Die schwächere Dynamik wurde sowohl vom internationalen Umfeld als auch von branchenspezifischen Ereignissen ausgelöst. Die weltwirtschaftlichen Rahmenbedingungen haben sich – auch aufgrund politischer Risiken – eingetrübt, und das Verarbeitende Gewerbe hat mit Produktionshemmnissen zu kämpfen. Die deutsche Wirtschaft durchläuft nunmehr eine Abkühlungsphase, in der die gesamtwirtschaftliche Überauslastung zurückgeht. Die Institute erwarten für das Jahr 2019 nur noch ein Wirtschaftswachstum von 0,8% und damit mehr als einen Prozentpunkt weniger als noch im Herbst 2018. Die Gefahr einer ausgeprägten Rezession mit negativen Veränderungsraten des Bruttoinlandsprodukts über mehrere Quartale halten die Institute jedoch bislang für gering, jedenfalls solange sich die politischen Risiken nicht weiter zuspitzen. Für das Jahr 2020 bestätigen die Institute ihre Prognose aus dem vergangenen Herbst: Das Bruttoinlandsprodukt dürfte im Jahr 2020 um 1,8% zunehmen.
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A Factor-model Approach for Correlation Scenarios and Correlation Stress Testing
Natalie Packham, Fabian Wöbbeking
Journal of Banking and Finance,
April
2019
Abstract
In 2012, JPMorgan accumulated a USD 6.2 billion loss on a credit derivatives portfolio, the so-called “London Whale”, partly as a consequence of de-correlations of non-perfectly correlated positions that were supposed to hedge each other. Motivated by this case, we devise a factor model for correlations that allows for scenario-based stress testing of correlations. We derive a number of analytical results related to a portfolio of homogeneous assets. Using the concept of Mahalanobis distance, we show how to identify adverse scenarios of correlation risk. In addition, we demonstrate how correlation and volatility stress tests can be combined. As an example, we apply the factor-model approach to the “London Whale” portfolio and determine the value-at-risk impact from correlation changes. Since our findings are particularly relevant for large portfolios, where even small correlation changes can have a large impact, a further application would be to stress test portfolios of central counterparties, which are of systemically relevant size.
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