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Modeling risk in a dynamically changing world: from association to causation

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  • Sokolov, Yuri

Abstract

The current crisis causes numerous economic uncertainties, such as a break-up of the European currency union, and a Greek exit from the euro area to boost the competitiveness by means of devaluation of national currency. When a factor such as exchange rate is expected to have a significant effect on the borrowers’ creditworthiness or a shift in risk regime may have occurred, risk management models based on backward-looking statistical methods are inadequate. Unlike the other approaches to risk modeling, the discussed approach for dynamic risk modeling doesn't ignore causation in favor of correlation and thus it is far more proactive. In contrast to existing risk models, FX rate is considered as a causal factor, which induces a negative correlation among default realizations and reveals ex ante dangerous risk concentrations with the clear economic and behavioral content.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 40096.

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Date of creation: 16 Jul 2012
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Handle: RePEc:pra:mprapa:40096

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Keywords: Correlation; causation; dynamic risk modeling; credit portfolio management; factor modeling; competitiveness; exchange rate; FEBA approach;

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  1. Egloff, Daniel & Leippold, Markus & Vanini, Paolo, 2007. "A simple model of credit contagion," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2475-2492, August.
  2. Sanjiv R. Das & Darrell Duffie & Nikunj Kapadia & Leandro Saita, 2007. "Common Failings: How Corporate Defaults Are Correlated," Journal of Finance, American Finance Association, vol. 62(1), pages 93-117, 02.
  3. Mathias Drehmann & Steffen Sorensen & Marco Stringa, 2007. "Integrating credit and interest rate risk: A theoretical framework and an application to banks' balance sheets," Money Macro and Finance (MMF) Research Group Conference 2006 151, Money Macro and Finance Research Group.
  4. Sokolov, Yuri, 2009. "Interaction between market and credit risk: Focus on the endogeneity of aggregate risk," MPRA Paper 18245, University Library of Munich, Germany.
  5. Breuer, Thomas & Jandacka, Martin & Rheinberger, Klaus & Summer, Martin, 2008. "Regulatory capital for market and credit risk interaction: is current regulation always conservative?," Discussion Paper Series 2: Banking and Financial Studies 2008,14, Deutsche Bundesbank, Research Centre.
  6. Zhou, Chunsheng, 2001. "An Analysis of Default Correlations and Multiple Defaults," Review of Financial Studies, Society for Financial Studies, vol. 14(2), pages 555-76.
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