Spillover Effects among Financial Institutions: A State-dependent Sensitivity Value-at-Risk Approach
Z. Adams, R. Füss, Reint E. Gropp
Abstract
In this paper, we develop a state-dependent sensitivity value-at-risk (SDSVaR) approach that enables us to quantify the direction, size, and duration of risk spillovers among financial institutions as a function of the state of financial markets (tranquil, normal, and volatile). Within a system of quantile regressions for four sets of major financial institutions (commercial banks, investment banks, hedge funds, and insurance companies) we show that while small during normal times, equivalent shocks lead to considerable spillover effects in volatile market periods. Commercial banks and, especially, hedge funds appear to play a major role in the transmission of shocks to other financial institutions. Using daily data, we can trace out the spillover effects over time in a set of impulse response functions and find that they reach their peak after 10 to 15 days.
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Macroeconomic Imbalances as Indicators for Debt Crises in Europe
Tobias Knedlik, Gregor von Schweinitz
Journal of Common Market Studies,
No. 5,
2012
Abstract
European authorities and scholars published proposals on which indicators of macroeconomic imbalances might be used to uncover risks for the sustainability of public debt in the European Union. We test the ability of four proposed sets of indicators to send early-warnings of debt crises using a signals approach for the study of indicators and the construction of composite indicators. We find that a broad composite indicator has the highest predictive power. This fact still holds true if equal weights are used for the construction of the composite indicator in order to reflect the uncertainty about the origin of future crises.
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Financial Crisis Risk, ECB “Non-standard“ Measures, and the External Value of the Euro
Stefan Eichler
Quarterly Review of Economics and Finance,
No. 3,
2012
Abstract
I study the impact of banking and sovereign debt crisis risk of EMU member states on the external value of the euro. Using a regime switching model, I find that the external value of the euro has significantly responded to financial crisis risk during the period of November 2008–November 2011, while no significant effect is found for the period from February 2006 to October 2008. This suggests that the monetary expansion and interest rate cuts associated with the ECB's “non-standard” measures may have reduced the external value of the euro.
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Bank Bailouts and Moral Hazard: Evidence from Germany
Lammertjan Dam, Michael Koetter
Review of Financial Studies,
No. 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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Does the ECB Act as a Lender of Last Resort During the Subprime Lending Crisis?: Evidence from Monetary Policy Reaction Models
Stefan Eichler, K. Hielscher
Journal of International Money and Finance,
No. 3,
2012
Abstract
We investigate whether the ECB aligns its monetary policy with financial crisis risk in EMU member countries. We find that since the outbreak of the subprime crisis the ECB has significantly increased net lending and reduced interest rates when banking and sovereign debt crisis risk in vulnerable EMU countries (Greece, Ireland, Italy, Portugal, and Spain) increases, while no significant effect is identified for the pre-crisis period and relatively tranquil EMU countries (Austria, Belgium, France, Germany, and the Netherlands). These findings suggest that the ECB acts as a Lender of Last Resort for vulnerable EMU countries.
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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,
No. 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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The Financial Crisis from a Forecaster's Perspective
Katja Drechsel, Rolf Scheufele
Kredit und Kapital,
No. 1,
2012
Abstract
This paper analyses the recession in 2008/2009 in Germany. This recession is very different from previous recessions in particular regarding their causes and magnitude. We show to what extent forecasters and forecasts based on leading indicators fail to detect the timing and the magnitude of the recession. This study shows that large forecast errors for both expert forecasts and forecasts based on leading indicators resulted during this recession which implies that the recession was very difficult to forecast. However, some leading indicators (survey data, risk spreads, stock prices) have indicated an economic downturn and hence, beat univariate time series models. Although the combination of individual forecasts provides an improvement compared to the benchmark model, the combined forecasts are worse than several individual models. A comparison of expert forecasts withthe best forecasts based on leading indicators shows only minor deviations. Overall, the range for an improvement of expert forecasts in the crisis compared to indicator forecasts is small.
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Protect and Survive? Did Capital Controls Help Shield Emerging Markets from the Crisis?
Makram El-Shagi
Economics Bulletin,
No. 1,
2012
Abstract
Using a new dataset on capital market regulation, we analyze whether capital controls helped protect emerging markets from the real economic consequences of the 2009 financial and economic crisis. The impact of the crisis is measured by the 2009 forecast error of a panel state space model, which analyzes the business cycle dynamics of 63 middle-income countries. We find that neither capital controls in general nor controls that were specifically targeted to derivatives (that played a crucial role during the crisis) helped shield economies. However, banking regulation that limits the exposure of banks to global risks has been highly successful.
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Towards Unrestricted Public Use Business Microdata: The Synthetic Longitudinal Business Database
John M. Abowd, Ron S. Jarmin, Satkartar K. Kinney, Javier Miranda, Jerome P. Reiter, Arnold P. Reznek
International Statistical Review,
No. 3,
2011
Abstract
In most countries, national statistical agencies do not release establishment-level business microdata, because doing so represents too large a risk to establishments’ confidentiality. One approach with the potential for overcoming these risks is to release synthetic data; that is, the released establishment data are simulated from statistical models designed to mimic the distributions of the underlying real microdata. In this article, we describe an application of this strategy to create a public use file for the Longitudinal Business Database, an annual economic census of establishments in the United States comprising more than 20 million records dating back to 1976. The U.S. Bureau of the Census and the Internal Revenue Service recently approved the release of these synthetic microdata for public use, making the synthetic Longitudinal Business Database the first-ever business microdata set publicly released in the United States. We describe how we created the synthetic data, evaluated analytical validity, and assessed disclosure risk.
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