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Macro-Financial Linkages and Heterogeneous Non-Performing Loans Projections: An Application to Ecuador

Author

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  • Mr. Francesco Grigoli
  • Mr. Mario Mansilla
  • Martín Saldías

Abstract

We propose a stress testing framework of credit risk, which analyzes macro-financial linkages, generates consistent forecasts of macro-financial variables, and projects non-performing loans (NPL) on the basis of such forecasts. Economic contractions are generally associated with increases in NPL. However, despite the common assumption used in the empirical literature of homogeneous impact across banks, the strength of this relationship is often bank-specific, and imposing homogeneity may lead to over or underestimating the resilience of the financial system to macroeconomic woes. Our approach accounts for banks’ heterogeneous reaction to macro-financial shocks in a dynamic context and potential cross-sectional dependence across banks caused by common shocks. An application to Ecuador suggests that substantial heterogeneity is present and that this should be taken into account when trying to anticipate inflections in the quality of portfolio.

Suggested Citation

  • Mr. Francesco Grigoli & Mr. Mario Mansilla & Martín Saldías, 2016. "Macro-Financial Linkages and Heterogeneous Non-Performing Loans Projections: An Application to Ecuador," IMF Working Papers 2016/236, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2016/236
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    3. Vyshnevskyi, Iegor & Sohn, Wook, 2023. "Nonperforming loans and related lending: Evidence from Ukraine," Emerging Markets Review, Elsevier, vol. 57(C).
    4. Faaza Fakhrunnas & Rindang Nuri Isnaini Nugrohowati & Razali Haron & Mohammad Bekti Hendrie Anto, 2022. "The Determinants of Non-Performing Loans in the Indonesian Banking Industry: An Asymmetric Approach Before and During the Pandemic Crisis," SAGE Open, , vol. 12(2), pages 21582440221, June.
    5. Lahura, Erick & Espino, Freddy, 2019. "Cartera morosa en moneda extranjera y tipo de cambio real: Evidencia para el Perú, 2003-2018," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 37, pages 31-48.
    6. Cheikh A. Gueye & Asithandile Mbelu & Mr. Amadou N Sy, 2019. "Coping with Falling Oil Prices: The Different Fortunes of African Banks," IMF Working Papers 2019/129, International Monetary Fund.
    7. Chuluunbayar, Delgerjargal, 2020. "Macroeconomic determinants of non-performing loans in Mongolia: the influence of currency mismatch and bank size," MPRA Paper 101843, University Library of Munich, Germany.

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    More about this item

    Keywords

    WP; NPL ratio; banks; cross-sectional dependence; heterogeneity; macro-financial linkages; non-performing loans; stress test; NPL projection; panel dataset; likelihood-ratio test statistic; panel data estimation; difference GMM estimator; bank level; surge in nonperforming loans; loan portfolio; regression equation; Nonperforming loans; Credit; Oil prices; Vector autoregression; Global financial crisis of 2008-2009; Global;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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