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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Uncertainty, Financial Crises, and Subjective Well-being
Lena Tonzer
IWH Discussion Papers,
Nr. 2,
2017
Abstract
This paper focuses on the effect of uncertainty as reflected by financial market variables on subjective well-being. The analysis is based on Eurobarometer surveys, covering 20 countries over the period from 2000 to 2013. Individuals report lower levels of life satisfaction in times of higher uncertainty approximated by stock market volatility. This effect is heterogeneous across respondents: The probability of being unsatisfied is higher for respondents who are older, less educated, and live in one of the GIIPS countries of the euro area. Furthermore, higher uncertainty in combination with a financial crisis increases the probability of reporting low values of life satisfaction.
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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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To Invest or Not to Invest, That Is the Question: Analysis of Firm Behavior under Anticipated Shocks
Dejan Kovač, Nikola Kleut, Boris Podobnik, Vuk Vukovic
Plos One,
Nr. 8,
2016
Abstract
When companies are faced with an upcoming and expected economic shock some of them tend to react better than others. They adapt by initiating investments thus successfully weathering the storm, while others, even though they possess the same information set, fail to adopt the same business strategy and eventually succumb to the crisis. We use a unique setting of the recent financial crisis in Croatia as an exogenous shock that hit the country with a time lag, allowing the domestic firms to adapt. We perform a survival analysis on the entire population of 144,000 firms in Croatia during the period from 2003 to 2015, and test whether investment prior to the anticipated shock makes firms more likely to survive the recession. We find that small and micro firms, which decided to invest, had between 60 and 70% higher survival rates than similar firms that chose not to invest. This claim is supported by both non-parametric and parametric tests in the survival analysis. From a normative perspective this finding could be important in mitigating the negative effects on aggregate demand during strong recessionary periods.
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Qual VAR Revisited: Good Forecast, Bad Story
Makram El-Shagi, Gregor von Schweinitz
Journal of Applied Economics,
Nr. 2,
2016
Abstract
Due to the recent financial crisis, the interest in econometric models that allow to incorporate binary variables (such as the occurrence of a crisis) experienced a huge surge. This paper evaluates the performance of the Qual VAR, originally proposed by Dueker (2005). The Qual VAR is a VAR model including a latent variable that governs the behavior of an observable binary variable. While we find that the Qual VAR performs reasonable well in forecasting (outperforming a probit benchmark), there are substantial identification problems even in a simple VAR specification. Typically, identification in economic applications is far more difficult than in our simple benchmark. Therefore, when the economic interpretation of the dynamic behavior of the latent variable and the chain of causality matter, use of the Qual VAR is inadvisable.
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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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