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Identifying Threshold Effects in Credit Risk Stress Testing

  • Armando Méndez Morales
  • Jose Giancarlo Gasha
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    Using data from Argentina, Australia, Colombia, El Salvador, Peru, and the United States, we identify three types of threshold effects when assessing the impact of economic activity on nonperforming loans (NPLs). For advanced financial systems showing low NPLs, there is an embedded self-correcting adjustment when NPLs exceed a minimum threshold. For financial systems in emerging markets in Latin America showing higher NPLs, there is instead a magnifying effect once NPLs cross a (higher) threshold. GDP growth apparently affects NPLs only below a certain threshold, which is consistent with observed lower elasticity of credit risk to changes in economic activity in boom periods.

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    Paper provided by International Monetary Fund in its series IMF Working Papers with number 04/150.

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    Length: 17
    Date of creation: 01 Aug 2004
    Date of revision:
    Handle: RePEc:imf:imfwpa:04/150
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    1. Maria Soledad Martinez Peria & Giovanni Majnoni & Matthew T. Jones & Winfrid Blaschke, 2001. "Stress Testing of Financial Systems; An Overview of Issues, Methodologies, and FSAP Experiences," IMF Working Papers 01/88, International Monetary Fund.
    2. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March.
    3. Mehmet Caner & Bruce E. Hansen, 2001. "Threshold Autoregression with a Unit Root," Econometrica, Econometric Society, vol. 69(6), pages 1555-1596, November.
    4. Simon M. Potter, 1993. "A Nonlinear Approach to U.S. GNP," UCLA Economics Working Papers 693, UCLA Department of Economics.
    5. Hansen, Bruce E. & Seo, Byeongseon, 2002. "Testing for two-regime threshold cointegration in vector error-correction models," Journal of Econometrics, Elsevier, vol. 110(2), pages 293-318, October.
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