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


  • Sokolov, Yuri


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.

Suggested Citation

  • Sokolov, Yuri, 2012. "Modeling risk in a dynamically changing world: from association to causation," MPRA Paper 40096, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:40096

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    References listed on IDEAS

    1. Sokolov, Yuri, 2009. "Interaction between market and credit risk: Focus on the endogeneity of aggregate risk," MPRA Paper 18245, University Library of Munich, Germany.
    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, February.
    3. Zhou, Chunsheng, 2001. "An Analysis of Default Correlations and Multiple Defaults," Review of Financial Studies, Society for Financial Studies, vol. 14(2), pages 555-576.
    4. 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.
    5. 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.
    6. 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.
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    More about this item


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

    JEL classification:

    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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