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Inter-portfolio credit risk contagion including macroeconomic and financial factors: A case study for Ecuador

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  • Uquillas, Adriana
  • Tonato, Ronny

Abstract

Daily banking practice suggests that there may be contagion effects between portfolios, a fact that has been explicitly recognized through current regulation. This paper describes a model that distinguishes between delinquency in each portfolio and allows inter-portfolio credit risk contagion, including macroeconomic and financial factors. Also, multivariate scenarios regarding portfolios’ credit risks were simulated.

Suggested Citation

  • Uquillas, Adriana & Tonato, Ronny, 2022. "Inter-portfolio credit risk contagion including macroeconomic and financial factors: A case study for Ecuador," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 299-320.
  • Handle: RePEc:eee:ecanpo:v:73:y:2022:i:c:p:299-320
    DOI: 10.1016/j.eap.2021.11.006
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    References listed on IDEAS

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    1. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian Vector Autoregressions," The Warwick Economics Research Paper Series (TWERPS) 1159, University of Warwick, Department of Economics.
    2. Trust R. Mpofu & Eftychia Nikolaidou, 2018. "Determinants of Credit Risk in the Banking system in Sub-Saharan Africa," School of Economics Macroeconomic Discussion Paper Series 2018-04, School of Economics, University of Cape Town.
    3. Matkovskyy, Roman, 2012. "The Index of the Financial Safety (IFS) of South Africa and Bayesian Estimates for IFS Vector-Autoregressive Model," MPRA Paper 42173, University Library of Munich, Germany.
    4. Mr. Jorge A Chan-Lau, 2006. "Fundamentals-Based Estimation of Default Probabilities - A Survey," IMF Working Papers 2006/149, International Monetary Fund.
    5. Louzis, Dimitrios P. & Vouldis, Angelos T. & Metaxas, Vasilios L., 2012. "Macroeconomic and bank-specific determinants of non-performing loans in Greece: A comparative study of mortgage, business and consumer loan portfolios," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1012-1027.
    6. M. Davis & V. Lo, 2001. "Infectious defaults," Quantitative Finance, Taylor & Francis Journals, vol. 1(4), pages 382-387.
    7. Mr. Luis Brandão-Marques & Qianying Chen & Claudio Raddatz & Mr. Jerome Vandenbussche & Peichu Xie, 2019. "The Riskiness of Credit Allocation and Financial Stability," IMF Working Papers 2019/207, International Monetary Fund.
    8. Allen, Franklin & Carletti, Elena, 2006. "Credit risk transfer and contagion," Journal of Monetary Economics, Elsevier, vol. 53(1), pages 89-111, January.
    9. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    10. Vazquez, Francisco & Tabak, Benjamin M. & Souto, Marcos, 2012. "A macro stress test model of credit risk for the Brazilian banking sector," Journal of Financial Stability, Elsevier, vol. 8(2), pages 69-83.
    11. Sims, Christopher A & Zha, Tao, 1998. "Bayesian Methods for Dynamic Multivariate Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 949-968, November.
    12. 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.
    13. Giesecke, Kay & Weber, Stefan, 2004. "Cyclical correlations, credit contagion, and portfolio losses," Journal of Banking & Finance, Elsevier, vol. 28(12), pages 3009-3036, December.
    14. Pais, Amelia & Stork, Philip A., 2011. "Contagion risk in the Australian banking and property sectors," Journal of Banking & Finance, Elsevier, vol. 35(3), pages 681-697, March.
    15. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    16. Darrell Duffie & Andreas Eckner & Guillaume Horel & Leandro Saita, 2009. "Frailty Correlated Default," Journal of Finance, American Finance Association, vol. 64(5), pages 2089-2123, October.
    17. Vasiliki Makri & Athanasios Tsagkanos & Athanasios Bellas, 2014. "Determinants of Non-Performing Loans: The Case of Eurozone," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(2), pages 193-206, March.
    18. Jorion, Philippe & Zhang, Gaiyan, 2007. "Good and bad credit contagion: Evidence from credit default swaps," Journal of Financial Economics, Elsevier, vol. 84(3), pages 860-883, June.
    19. Rinaldi, Laura & Sanchis-Arellano, Alicia, 2006. "Household debt sustainability: what explains household non-performing loans? An empirical analysis," Working Paper Series 570, European Central Bank.
    20. Catalán, Mario & Hoffmaister, Alexander W., 2022. "When banks punch back: Macrofinancial feedback loops in stress tests," Journal of International Money and Finance, Elsevier, vol. 124(C).
    21. Marco Sorge, 2004. "Stress-testing financial systems: an overview of current methodologies," BIS Working Papers 165, Bank for International Settlements.
    22. Marta Bańbura, 2008. "Large Bayesian VARs," 2008 Meeting Papers 334, Society for Economic Dynamics.
    23. Litterman, Robert B, 1986. "A Statistical Approach to Economic Forecasting," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 1-4, January.
    24. Juri Marcucci & Mario Quagliariello, 2008. "Credit risk and business cycle over different regimes," Temi di discussione (Economic working papers) 670, Bank of Italy, Economic Research and International Relations Area.
    25. Boissay, Frédéric, 2006. "Credit chains and the propagation of financial distress," Working Paper Series 573, European Central Bank.
    26. repec:hal:spmain:info:hdl:2441/27od5pb99881folvtfs8s3k16l is not listed on IDEAS
    27. Alex Pienkowski, 2019. "A Three-Country Macroeconomic Model for Portugal," IMF Working Papers 2019/281, International Monetary Fund.
    28. Kadiyala, K Rao & Karlsson, Sune, 1997. "Numerical Methods for Estimation and Inference in Bayesian VAR-Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 99-132, March-Apr.
    29. Ingo Fender & Patrick McGuire, 2010. "Bank structure, funding risk and the transmission of shocks across countries: concepts and measurement," BIS Quarterly Review, Bank for International Settlements, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Credit risk; Contagion; Cross risk; Stress testing models; Vector autoregressive models;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

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