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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Benign Neglect of Covenant Violations: Blissful Banking or Ignorant Monitoring?
Stefano Colonnello, Michael Koetter, Moritz Stieglitz
Abstract
Theoretically, bank‘s loan monitoring activity hinges critically on its capitalisation. To proxy for monitoring intensity, we use changes in borrowers‘ investment following loan covenant violations, when creditors can intervene in the governance of the firm. Exploiting granular bank-firm relationships observed in the syndicated loan market, we document substantial heterogeneity in monitoring across banks and through time. Better capitalised banks are more lenient monitors that intervene less with covenant violators. Importantly, this hands-off approach is associated with improved borrowers‘ performance. Beyond enhancing financial resilience, regulation that requires banks to hold more capital may thus also mitigate the tightening of credit terms when firms experience shocks.
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An Evaluation of Early Warning Models for Systemic Banking Crises: Does Machine Learning Improve Predictions?
Johannes Beutel, Sophia List, Gregor von Schweinitz
Abstract
This paper compares the out-of-sample predictive performance of different early warning models for systemic banking crises using a sample of advanced economies covering the past 45 years. We compare a benchmark logit approach to several machine learning approaches recently proposed in the literature. We find that while machine learning methods often attain a very high in-sample fit, they are outperformed by the logit approach in recursive out-of-sample evaluations. This result is robust to the choice of performance measure, crisis definition, preference parameter, and sample length, as well as to using different sets of variables and data transformations. Thus, our paper suggests that further enhancements to machine learning early warning models are needed before they are able to offer a substantial value-added for predicting systemic banking crises. Conventional logit models appear to use the available information already fairly effciently, and would for instance have been able to predict the 2007/2008 financial crisis out-of-sample for many countries. In line with economic intuition, these models identify credit expansions, asset price booms and external imbalances as key predictors of systemic banking crises.
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Banks Response to Higher Capital Requirements: Evidence from a Quasi-natural Experiment
Reint E. Gropp, Thomas Mosk, Steven Ongena, Carlo Wix
Review of Financial Studies,
Nr. 1,
2019
Abstract
We study the impact of higher capital requirements on banks’ balance sheets and their transmission to the real economy. The 2011 EBA capital exercise is an almost ideal quasi-natural experiment to identify this impact with a difference-in-differences matching estimator. We find that treated banks increase their capital ratios by reducing their risk-weighted assets, not by raising their levels of equity, consistent with debt overhang. Banks reduce lending to corporate and retail customers, resulting in lower asset, investment, and sales growth for firms obtaining a larger share of their bank credit from the treated banks.
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SMEs and Access to Bank Credit: Evidence on the Regional Propagation of the Financial Crisis in the UK
Hans Degryse, Kent Matthews, Tianshu Zhao
Journal of Financial Stability,
2018
Abstract
We study the sensitivity of banks’ credit supply to small and medium size enterprises (SMEs) in the UK with respect to the banks’ financial condition before and during the financial crisis. Employing unique data on the geographical location of all bank branches in the UK, we connect firms’ access to bank credit to the financial condition (i.e., bank health and the use of core deposits) of all bank branches in the vicinity of the firm for the period 2004–2011. Before the crisis, banks’ local financial conditions did not influence credit availability irrespective of the functional distance (i.e., the distance between bank branch and bank headquarters). However, during the crisis, we find that SMEs with banks within their vicinity that have stronger financial conditions faced greater credit availability when the functional distance is close. Our results point to a “flight to headquarters” effect during the financial crisis.
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Banks Fearing the Drought? Liquidity Hoarding as a Response to Idiosyncratic Interbank Funding Dry-ups
Helge Littke, Matias Ossandon Busch
IWH Discussion Papers,
Nr. 12,
2018
Abstract
Since the global financial crisis, economic literature has highlighted banks’ inclination to bolster up their liquid asset positions once the aggregate interbank funding market experiences a dry-up. To this regard, we show that liquidity hoarding and its detrimental effects on credit can also be triggered by idiosyncratic, i.e. bankspecific, interbank funding shocks with implications for monetary policy. Combining a unique data set of the Brazilian banking sector with a novel identification strategy enables us to overcome previous limitations for studying this phenomenon as a bankspecific event. This strategy further helps us to analyse how disruptions in the bank headquarters’ interbank market can lead to liquidity and lending adjustments at the regional bank branch level. From the perspective of the policy maker, understanding this market-to-market spillover effect is important as local bank branch markets are characterised by market concentration and relationship lending.
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When Arm’s Length is too Far: Relationship Banking over the Credit Cycle
Thorsten Beck, Hans Degryse, Ralph De Haas, Neeltje van Horen
Journal of Financial Economics,
Nr. 1,
2018
Abstract
We conduct face-to-face interviews with bank CEOs to classify 397 banks across 21 countries as either relationship or transaction lenders. We then use the geographic coordinates of these banks’ branches and of 14,100 businesses to analyze how the lending techniques of banks in the vicinity of firms are related to credit constraints at two contrasting points of the credit cycle. We find that while relationship lending is not associated with credit constraints during a credit boom, it alleviates such constraints during a downturn. This positive role of relationship lending is stronger for small and opaque firms and in regions with a more severe economic downturn. Moreover, our evidence suggests that relationship lending mitigates the impact of a downturn on firm growth and does not constitute evergreening of loans.
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Too connected to fail? Wie die Vernetzung der Banken staatliche
Rettungsmaßnahmen vorhersagen kann
Friederike Altgelt, Michael Koetter
Wirtschaft im Wandel,
Nr. 4,
2017
Abstract
Seit der globalen Finanzkrise 2007/2008 liegt aufgrund ihrer Schlüsselrolle für ein funktionierendes Finanzsystem ein besonderer Fokus auf den so genannten systemrelevanten Finanzinstitutionen (systemically important financial institutions, SIFIs). Neben der Größe von Finanzinstitutionen ist auch das Ausmaß ihrer Vernetzung im internationalen Finanzsystem entscheidend für die Klassifikation als systemrelevant. Obwohl die Vernetzung von Banken untereinander in der Regel schwer zu messen ist, kann sie aus der Entwicklung von Prämien von Kreditausfallversicherungen (den so genannten Credit Default Swap (CDS) Spreads) und Aktienrenditen abgeleitet werden. Dieser Beitrag untersucht, inwieweit sich mit Hilfe der sich daraus ergebenden Co-Crash-Probability vor der Finanzkrise vorhersagen lässt, welche Finanzinstitutionen während der Krise Teil von staatlichen Rettungsprogrammen (bailout programmes) wurden.
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Bank Financing, Institutions and Regional Entrepreneurial Activities: Evidence from China
Iftekhar Hasan, Nada Kobeissi, Haizhi Wang, Mingming Zhou
International Review of Economics and Finance,
November
2017
Abstract
We investigate the effects of bank financing on regional entrepreneurial activities in China. We present contrasting findings on the role of quantity vs. quality of bank financing on small business formation in China: while we document a consistent, significantly positive relationship between the quality of bank financing and new venture formation, we find that the quantity of supplied credit is insignificant. We report that formal institutions are positively correlated to regional entrepreneurial activities, and informal institutions substitute formal institutions. Our findings also reveal that the institutional environment tends to supplement bank financing in promoting regional entrepreneurial activities.
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