Bank Bailouts and Moral Hazard: Evidence from Germany
Lammertjan Dam, Michael Koetter
Review of Financial Studies,
Nr. 8,
2012
Abstract
We use a structural econometric model to provide empirical evidence that safety nets in the banking industry lead to additional risk taking. To identify the moral hazard effect of bailout expectations on bank risk, we exploit the fact that regional political factors explain bank bailouts but not bank risk. The sample includes all observed capital preservation measures and distressed exits in the German banking industry during 1995–2006. A change of bailout expectations by two standard deviations increases the probability of official distress from 6.6% to 9.4%, which is economically significant.
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Predicting Financial Crises: The (Statistical) Significance of the Signals Approach
Makram El-Shagi, Tobias Knedlik, Gregor von Schweinitz
Abstract
The signals approach as an early warning system has been fairly successful in detecting crises, but it has so far failed to gain popularity in the scientific community because it does not distinguish between randomly achieved in-sample fit and true predictive power. To overcome this obstacle, we test the null hypothesis of no correlation between indicators and crisis probability in three applications of the signals approach to different crisis types. To that end, we propose bootstraps specifically tailored to the characteristics of the respective datasets. We find (1) that previous applications of the signals approach yield economically meaningful and statistically significant results and (2) that composite
indicators aggregating information contained in individual indicators add value to the signals approach, even where most individual indicators are not statistically significant on their own.
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The Impact of Banking and Sovereign Debt Crisis Risk in the Eurozone on the Euro/US Dollar Exchange Rate
Stefan Eichler
Applied Financial Economics,
Nr. 15,
2012
Abstract
I study the impact of financial crisis risk in the eurozone on the euro/US dollar exchange rate. Using daily data from 3 July 2006 to 30 September 2010, I find that the euro depreciates against the US dollar when banking or sovereign debt crisis risk increases in the eurozone. While the external value of the euro is more sensitive to changes in sovereign debt crisis risk in vulnerable member countries than in stable member countries, the impact of banking crisis risk is similar for both country blocs. Moreover, rising default risk of medium and large eurozone banks leads to a depreciation of the euro while small banks’ default risk has no significant impact, showing the relevance of systemically important banks with regards to the exchange rate.
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Extreme Dependence with Asymmetric Thresholds: Evidence for the European Monetary Union
Stefan Eichler, R. Herrera
Journal of Banking and Finance,
Nr. 11,
2011
Abstract
Existing papers on extreme dependence use symmetrical thresholds to define simultaneous stock market booms or crashes such as the joint occurrence of the upper or lower one percent return quantile in both stock markets. We show that the probability of the joint occurrence of extreme stock returns may be higher for asymmetric thresholds than for symmetric thresholds. We propose a non-parametric measure of extreme dependence which allows capturing extreme events for different thresholds and can be used to compute different types of extreme dependence. We find that extreme dependence among the stock markets of ten initial EMU member countries, the United Kingdom, and the United States is largely asymmetrical in the pre-EMU period (1989–1998) and largely symmetrical in the EMU period (1999–2010). Our findings suggest that ignoring the possibility of asymmetric extreme dependence may lead to an underestimation of the probability of co-booms and co-crashes.
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Modelling Country Default Risk as a Latent Variable: A Multiple Indicators Multiple Causes Approach
A. Bühn, Stefan Eichler, Dominik Maltritz
Applied Economics,
Nr. 36,
2012
Abstract
We study the determinants of country default risk by applying a Multiple Indicators Multiple Causes (MIMIC) model. This accounts for the fact that country default risk is an unobservable variable. Whereas existing (regression-based) approaches typically use only one of several possible country default risk indicators as the dependent variable, the MIMIC model enables us to consider several indicators at once. The simultaneous consideration of sovereign yield spreads and Standard and Poor (S&P) ratings may help to improve the identification of the latent country default risk. Our results confirm most of the literature's main findings regarding important determinants of country default risk, refute others and provide new evidence to controversial questions.
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ICT Adoption and Heterogeneity in Production Technologies: Evidence for Chilean Retailers
Gaaitzen J. de Vries, Michael Koetter
Oxford Bulletin of Economics and Statistics,
Nr. 4,
2011
Abstract
The adoption of information and communication technology (ICT) can have far-reaching effects on the nature of production technologies. Because ICT adoption is incomplete, especially in developing countries, different groups of firms will have different production technologies. We estimate a latent class stochastic frontier model, which allows us to test for the existence of multiple production technologies across firms and consider the associated implications for efficiency measures. We use a unique data set of Chilean retailers, which includes detailed information on ICT adoption. We find three distinct production technologies. The probability of membership in a more productive group is positively related to ICT use.
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The Importance of Estimation Uncertainty in a Multi-Rating Class Loan Portfolio
Henry Dannenberg
IWH Discussion Papers,
Nr. 11,
2011
Abstract
This article seeks to make an assessment of estimation uncertainty in a multi-rating class loan portfolio. Relationships are established between estimation uncertainty and parameters such as probability of default, intra- and inter-rating class correlation, degree of inhomogeneity, number of rating classes used, number of debtors and number of historical periods used for parameter estimations. In addition, by using an exemplary portfolio based on Moody’s ratings, it becomes clear that estimation uncertainty does indeed have an effect on interest rates.
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What Can Currency Crisis Models Tell Us about the Risk of Withdrawal from the EMU? Evidence from ADR Data
Stefan Eichler
Journal of Common Market Studies,
Nr. 4,
2011
Abstract
We study whether ADR (American depositary receipt) investors perceive the risk that countries such as Greece, Ireland, Italy, Portugal or Spain could leave the eurozone to address financial problems produced by the sub-prime crisis. Using daily data, we analyse the impact of vulnerability measures related to currency crisis theories on ADR returns. We find that ADR returns fall when yield spreads of sovereign bonds or CDSs (credit default swaps) rise (i.e. when debt crisis risk increases); when banks' CDS premiums rise or stock returns fall (i.e. when banking crisis risk increases); or when the euro's overvaluation increases (i.e. when the risk of competitive devaluation increases).
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The Term Structure of Banking Crisis Risk in the United States: A Market Data Based Compound Option Approach
Stefan Eichler, Alexander Karmann, Dominik Maltritz
Journal of Banking and Finance,
Nr. 4,
2011
Abstract
We use a compound option-based structural credit risk model to estimate banking crisis risk for the United States based on market data on bank stocks on a daily frequency. We contribute to the literature by providing separate information on short-term, long-term and total crisis risk instead of a single-maturity risk measure usually inferred by Merton-type models or barrier models. We estimate the model by applying the Duan (1994) maximum-likelihood approach. A strongly increasing total crisis risk estimated from early July 2007 onwards is driven mainly by short-term crisis risk. Banks that defaulted or were overtaken during the crisis have a considerably higher crisis risk (especially higher long-term risk) than banks that survived the crisis.
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