Government Interventions in Banking Crises: Effects of Alternative Schemes on Bank Lending and Risk-taking
Diemo Dietrich, Achim Hauck
Scottish Journal of Political Economy,
No. 2,
2012
Abstract
We analyse the effects of policy measures to stop the fall in loan supply following a banking crisis. We apply a dynamic framework in which a debt overhang induces banks to curtail lending or to choose a fragile capital structure. Government assistance conditional on new banking activities, like on new lending or on debt and equity issues, allows banks to influence the scale of the assistance and to externalise risks, implying overinvestment or excessive risk taking or both. Assistance without reference to new activities, like granting lump sum transfers or establishing bad banks, does not generate adverse incentives but may have higher fiscal costs.
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Informed and Uninformed Investment in Housing: The Downside of Diversification
Elena Loutskina, Philip E. Strahan
Review of Financial Studies,
No. 5,
2011
Abstract
Mortgage lenders that concentrate in a few markets invest more in information collection than diversified lenders. Concentrated lenders focus on the information-intensive jumbo market and on high-risk borrowers. They are better positioned to price risks and, thus, ration credit less. Adverse selection, however, leads to higher retention of mortgages relative to diversified lenders. Finally, concentrated lenders have higher profits than diversified lenders, their profits vary less systematically, and their stock prices fell less during the 2007—2008 credit crisis. The results imply that geographic diversification led to a decline in screening by lenders, which likely played a role in the 2007–2008 crisis.
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Inflation Expectations: Does the Market Beat Professional Forecasts?
Makram El-Shagi
North American Journal of Economics and Finance,
No. 3,
2011
Abstract
The present paper compares expected inflation to (econometric) inflation forecasts based on a number of forecasting techniques from the literature using a panel of ten industrialized countries during the period of 1988 to 2007. To capture expected inflation, we develop a recursive filtering algorithm which extracts unexpected inflation from real interest rate data, even in the presence of diverse risks and a potential Mundell-Tobin-effect.
The extracted unexpected inflation is compared to the forecasting errors of ten
econometric forecasts. Beside the standard AR(p) and ARMA(1,1) models, which
are known to perform best on average, we also employ several Phillips curve based approaches, VAR, dynamic factor models and two simple model avering approaches.
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Extreme Risks in Financial Markets and Monetary Policies of the Euro-candidates
Hubert Gabrisch, Lucjan T. Orlowski
Comparative Economic Studies,
No. 4,
2011
Abstract
This study investigates extreme tail risks in financial markets of the euro-candidate countries and their implications for monetary policies. Our empirical tests show the prevalence of extreme risks in the conditional volatility series of selected financial variables, that is, interbank rates, equity market indexes and exchange rates. We argue that excessive instability of key target and instrument variables should be mitigated by monetary policies. Central banks in these countries will be well-advised to use both standard and unorthodox (discretionary) tools of monetary policy while steering their economies out of the financial crisis and through the euro-convergence process.
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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,
No. 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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The Financial Crisis from a Forecaster’s Perspective
Katja Drechsel, Rolf Scheufele
Abstract
This paper analyses the recession in 2008/2009 in Germany, which is very different from previous recessions, in particular regarding its cause 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 with the best forecasts based on leading indicators shows only minor deviations. Overall, the range for an improvement of expert forecasts during the crisis compared to indicator forecasts is relatively small.
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Stochastic Income Statement Planning as a Basis for Risk Assessment in the Context of Emissions Trading
Henry Dannenberg, Wilfried Ehrenfeld
Greenhouse Gas Measurement and Management,
No. 1,
2011
Abstract
Die Einführung des Europäischen Emissionshandels bedeutet, dass teilnehmende Unternehmen einen neuen Unsicherheitsfaktor bei ihrer Planung zu berücksichtigen haben - Emissionszertifikate. In diesem Artikel untersuchen wir, wie dieses Risiko um Rahmen einer stochastischen Plan- Gewinn- und Verlustrechnung (GuV) berücksichtige werden kann. Dafür erkunden wir welche Plangrößen durch den Emissionshandel beeinflusst werden. Weiter zeigen wir einen Ansatz, diese Größen in einer Plan-GuV zu modellieren. Dabei werden Unsicherheiten und Abhängigkeiten explizit berücksichtigt. Deshalb stellt das vorgestellte Modell eine Basis für Risikobewertungen und Investitionsentscheidungen im unsicheren Umfeld des CO2-Zertifikatehandels dar.
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