Assessing the Effects of Regulatory Bank Levies
Claudia M. Buch, Lena Tonzer, Benjamin Weigert
VOX CEPR's Policy Portal,
2017
Abstract
In response to the Global Crisis, governments have implemented restructuring and resolution regimes backed by funds financed by bank levies. Bank levies aim to internalise system risk externalities and to provide funding for bank recovery and resolution. This column explores bank levy design by considering the German and European cases. The discussion points to the importance of structured policy evaluations to determine the effects of levies.
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The Risk‐Taking Channel of Monetary Policy in the U.S.: Evidence from Corporate Loan Data
Manthos D. Delis, Iftekhar Hasan, Nikolaos Mylonidis
Journal of Money, Credit and Banking,
Nr. 1,
2017
Abstract
To study the presence of a risk-taking channel in the U.S., we build a comprehensive data set from the syndicated corporate loan market and measure monetary policy using different measures, most notably Taylor (1993) and Romer and Romer (2004) residuals. We identify a negative relation between monetary policy rates and bank risk-taking, especially in the run up to the 2007 financial crisis. However, this effect is purely supply-side driven only when using Taylor residuals and an ex ante measure of bank risk-taking. Our results highlight the sensitivity of the potency of the risk-taking channel to the measures of monetary policy innovations.
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Bank Risk Proxies and the Crisis of 2007/09: A Comparison
Felix Noth, Lena Tonzer
Applied Economics Letters,
Nr. 7,
2017
Abstract
The global financial crisis has again shown that it is important to understand the emergence and measurement of risks in the banking sector. However, there is no consensus in the literature which risk proxy works best at the level of the individual bank. A commonly used measure in applied work is the Z-score, which might suffer from calculation issues given poor data quality. Motivated by the variety of bank risk proxies, our analysis reveals that nonperforming assets are a well-suited complement to the Z-score in studies of bank risk.
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Complexity and Bank Risk During the Financial Crisis
Thomas Krause, Talina Sondershaus, Lena Tonzer
Economics Letters,
January
2017
Abstract
We construct a novel dataset to measure banks’ complexity and relate it to banks’ riskiness. The sample covers stock listed Euro area banks from 2007 to 2014. Bank stability is significantly affected by complexity, whereas the direction of the effect differs across complexity measures.
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State Aid and Guarantees in Europe
Reint E. Gropp, Lena Tonzer
T. Beck, B. Casu (eds): The Palgrave Handbook of European Banking, London,
2016
Abstract
During the recent financial crisis, governments massively intervened in the banking sector by providing liquidity assistance and capital support to banks in distress. This helped stabilize the financial system in the short run. However, public bailouts also bear the risk of longer-term distortions, for example, by affecting bailout expectations of banks. In this chapter, the authors first provide an overview of state aid interventions during the recent crisis episode. The third section then analyzes the effects of state aid on financial stability from a theoretical view. This is followed by the description of results obtained from empirical studies. The link between the provision of state aid and politics is discussed in the section “Institutional Design and Policy Implications”. Finally, in the section “The European Banking Union” the authors describe the elements of the European Banking Union meant to resolve and restructure banks in distress and to lower the need for public intervention. Based on the preceding analysis, conclusions are drawn regarding the new design.
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The Role of Complexity for Bank Risk during the Financial Crisis: Evidence from a Novel Dataset
Thomas Krause, Talina Sondershaus, Lena Tonzer
Abstract
We construct a novel dataset to measure banks’ business and geographical complexity. Using these measures of complexity, we evaluate how they relate to banks’ idiosyncratic and systemic riskiness. The sample covers stock listed banks in the euro area from 2007 to 2014. Our results show that banks have increased their total number of subsidiaries while business and geographical complexity have declined. Bank stability is significantly affected by our complexity measures, whereas the direction of the effect differs across the complexity measures: Banks with a higher degree of geographical complexity and a higher share of foreign subsidiaries seem to be less stable. In contrast, a higher share of non-bank subsidiaries significantly decreases the probability for a state aid request during the recent crisis period. This heterogeneity advises against the use of a single complexity measure when evaluating the implications of bank complexity.
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Banks and Sovereign Risk: A Granular View
Claudia M. Buch, Michael Koetter, Jana Ohls
Abstract
We identify the determinants of all German banks’ sovereign debt exposures between 2005 and 2013 and test for the implications of these exposures for bank risk. Larger, more capital market affine, and less capitalised banks hold more sovereign bonds. Around 15% of all German banks never hold sovereign bonds during the sample period. The sensitivity of sovereign bond holdings by banks to eurozone membership and inflation increased significantly since the collapse of Lehman Brothers. Since the outbreak of the sovereign debt crisis, banks prefer sovereigns with lower debt ratios and lower bond yields. Finally, we find that riskiness of government bond holdings affects bank risk only since 2010. This confirms the existence of a nexus between government debt and bank risk.
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Interbank Lending and Distress: Observables, Unobservables, and Network Structure
Ben Craig, Michael Koetter, U. Krüger
Deutsche Bundesbank Discussion Paper, No. 18/2014,
Nr. 18,
2014
Abstract
We provide empirical evidence on the relevance of systemic risk through the interbank lending channel. We adapt a spatial probit model that allows for correlated error terms in the cross-sectional variation that depend on the measured network connections of the banks. The latter are in our application observed interbank exposures among German bank holding companies during 2001 and 2006. The results clearly indicate significant spillover effects between banks’ probabilities of distress and the financial profiles of connected peers. Better capitalized and managed connections reduce the banks own risk. Higher network centrality reduces the probability of distress, supporting the notion that more complete networks tend to be more stable. Finally, spatial autocorrelation is significant and negative. This last result may indicate too-many-to-fail mechanics such that bank distress is less likely if many peers already experienced distress.
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Macroeconomic Factors and Microlevel Bank Behavior
Claudia M. Buch, S. Eickmeier, Esteban Prieto
Journal of Money, Credit and Banking,
Nr. 4,
2014
Abstract
We analyze the link between banks and the macroeconomy using a model that extends a macroeconomic VAR for the U.S. with a set of factors summarizing conditions in about 1,500 commercial banks. We investigate how macroeconomic shocks are transmitted to individual banks and obtain the following main findings. Backward-looking risk of a representative bank declines, and bank lending increases following expansionary shocks. Forward-looking risk increases following an expansionary monetary policy shock. There is, however, substantial heterogeneity in the transmission of macroeconomic shocks, which is due to bank size, capitalization, liquidity, risk, and the exposure to real estate and consumer loans.
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In Search for Yield? Survey-based Evidence on Bank Risk Taking
Claudia M. Buch, S. Eickmeier, Esteban Prieto
Journal of Economic Dynamics and Control,
Nr. 43,
2014
Abstract
Monetary policy can have an impact on economic and financial stability through the risk taking of banks. Falling interest rates might induce investment into risky activities. This paper provides evidence on the link between monetary policy and bank risk taking. We use a factor-augmented vector autoregressive model (FAVAR) for the US for the period 1997–2008. Besides standard macroeconomic indicators, we include factors summarizing information provided in the Federal Reserve’s Survey of Terms of Business Lending (STBL). These data provide information on banks׳ new loans as well as interest rates for different loan risk categories and different banking groups. We identify a risk-taking channel of monetary policy by distinguishing responses to monetary policy shocks across different types of banks and different loan risk categories. Following an expansionary monetary policy shock, small domestic banks increase their exposure to risk. Large domestic banks do not change their risk exposure. Foreign banks take on more risk only in the mid-2000s, when interest rates were ‘too low for too long’.
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