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Identifying Threshold Effects in Credit Risk Stress Testing

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  • Mr. Armando Méndez Morales
  • Jose Giancarlo Gasha

Abstract

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.

Suggested Citation

  • Mr. Armando Méndez Morales & Jose Giancarlo Gasha, 2004. "Identifying Threshold Effects in Credit Risk Stress Testing," IMF Working Papers 2004/150, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2004/150
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    Cited by:

    1. Grigori Fainstein & Igor Novikov, 2011. "The Comparative Analysis of Credit Risk Determinants In the Banking Sector of the Baltic States," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 20-45, June.
    2. Grigori Fainstein & Igor Novikov, 2011. "The role of macroeconomic determinants in credit risk measurement in transition country: Estonian example," International Journal of Transitions and Innovation Systems, Inderscience Enterprises Ltd, vol. 1(2), pages 117-137.
    3. Marcucci, Juri & Quagliariello, Mario, 2009. "Asymmetric effects of the business cycle on bank credit risk," Journal of Banking & Finance, Elsevier, vol. 33(9), pages 1624-1635, September.
    4. Chortareas, Georgios & Magkonis, Georgios & Zekente, Kalliopi-Maria, 2020. "Credit risk and the business cycle: What do we know?," International Review of Financial Analysis, Elsevier, vol. 67(C).
    5. Tom Pak-wing Fong & Chun-shan Wong, 2008. "Stress Testing Banks' Credit Risk Using Mixture Vector Autoregressive Models," Working Papers 0813, Hong Kong Monetary Authority.
    6. Zhang, Dayong & Cai, Jing & Dickinson, David G. & Kutan, Ali M., 2016. "Non-performing loans, moral hazard and regulation of the Chinese commercial banking system," Journal of Banking & Finance, Elsevier, vol. 63(C), pages 48-60.

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