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The Dynamics of Non-Performing Loans during Banking Crises: A New Database

Author

Listed:
  • Anil Ari

    (IMF)

  • Sophia Chen

    (IMF)

  • Lev Ratnovski

    (ECB)

Abstract

This paper presents a new dataset on the dynamics of non-performing loans (NPLs) during 88 banking crises since 1990. The data show similarities across crises during NPL build-ups but less so during NPL resolutions. We find a close relationship between NPL problems—elevated and unresolved NPLs—and the severity of post-crisis recessions. A machine learning approach identifies a set of pre-crisis predictors of NPL problems related to weak macroeconomic, institutional, corporate, and banking sector conditions. Our findings suggest that reducing pre-crisis vulnerabilities and promptly addressing NPL problems during a crisis are important for post-crisis output recovery.

Suggested Citation

  • Anil Ari & Sophia Chen & Lev Ratnovski, 2020. "The Dynamics of Non-Performing Loans during Banking Crises: A New Database," GRU Working Paper Series GRU_2020_011, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    • Handle: RePEc:cth:wpaper:gru_2020_011
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    1. Podpiera, Jiri & Weill, Laurent, 2008. "Bad luck or bad management? Emerging banking market experience," Journal of Financial Stability, Elsevier, vol. 4(2), pages 135-148, June.
    2. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    3. Markus K. Brunnermeier & Ricardo Reis, 2019. "Crash Course on the Euro Crisis," Working Papers 258, Princeton University, Department of Economics, Center for Economic Policy Studies..
    4. Luc Laeven & Fabian Valencia, 2020. "Systemic Banking Crises Database II," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 68(2), pages 307-361, June.
    5. Carmen M. Reinhart & Kenneth S. Rogoff, 2014. "This Time is Different: A Panoramic View of Eight Centuries of Financial Crises," Annals of Economics and Finance, Society for AEF, vol. 15(2), pages 215-268, November.
    6. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    7. Berger, Allen N. & DeYoung, Robert, 1997. "Problem loans and cost efficiency in commercial banks," Journal of Banking & Finance, Elsevier, vol. 21(6), pages 849-870, June.
    8. Mr. Luc Laeven & Mr. Fabian Valencia, 2018. "Systemic Banking Crises Revisited," IMF Working Papers 2018/206, International Monetary Fund.
    9. Carmen M. Reinhart & Kenneth S. Rogoff, 2009. "Varieties of Crises and Their Dates," Introductory Chapters, in: This Time Is Different: Eight Centuries of Financial Folly, Princeton University Press.
    10. Viral V Acharya & Tim Eisert & Christian Eufinger & Christian Hirsch, 2018. "Real Effects of the Sovereign Debt Crisis in Europe: Evidence from Syndicated Loans," Review of Financial Studies, Society for Financial Studies, vol. 31(8), pages 2855-2896.
    11. A. Belloni & D. Chen & V. Chernozhukov & C. Hansen, 2012. "Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain," Econometrica, Econometric Society, vol. 80(6), pages 2369-2429, November.
    12. Anil Ari, 2015. "Sovereign Risk and Bank Risk-Taking," Working Papers 202, Oesterreichische Nationalbank (Austrian Central Bank).
    13. Kaushik Bhattacharya, 2003. "How good is the BankScope database? A cross-validation exercise with correction factors for market concentration measures," BIS Working Papers 133, Bank for International Settlements.
    14. Matteo Accornero & Piergiorgio Alessandri & Luisa Carpinelli & Alberto Maria Sorrentino, 2017. "Non-performing loans and the supply of bank credit: evidence from Italy," Questioni di Economia e Finanza (Occasional Papers) 374, Bank of Italy, Economic Research and International Relations Area.
    15. Ghosh, Amit, 2015. "Banking-industry specific and regional economic determinants of non-performing loans: Evidence from US states," Journal of Financial Stability, Elsevier, vol. 20(C), pages 93-104.
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    Cited by:

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    3. Hodula, Martin & Pfeifer, Lukáš & Janků, Jan, 2022. "The effect of structural risks on financial downturns," ESRB Working Paper Series 138, European Systemic Risk Board.
    4. Elisa Fusco & Bernardo Maggi, 2022. "Computing nonperforming loan prices in banking efficiency analysis," Computational Management Science, Springer, vol. 19(1), pages 1-23, January.
    5. Avgeri, I. & Dendramis, Y. & Louri, H., 2021. "The Single Supervisory Mechanism and its implications for the profitability of European banks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    6. Karadima, Maria & Louri, Helen, 2021. "Determinants of non-performing loans in Greece: the intricate role of fiscal expansion," LSE Research Online Documents on Economics 110741, London School of Economics and Political Science, LSE Library.
    7. Martin Hodula & Jan Janku & Lukas Pfeifer, 2021. "Interaction of Cyclical and Structural Systemic Risks: Insights from Around and After the Global Financial Crisis," Research and Policy Notes 2021/03, Czech National Bank.
    8. Bacchiocchi, Andrea & Bischi, Gian Italo & Giombini, Germana, 2022. "Non-performing loans, expectations and banking stability: A dynamic model," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    9. Choudhary, M. Ali & Jain, Anil K., 2021. "Corporate stress and bank nonperforming loans: Evidence from Pakistan," Journal of Banking & Finance, Elsevier, vol. 133(C).
    10. Ratnovski, Lev, 2020. "COVID-19 and non-performing loans: lessons from past crises," Research Bulletin, European Central Bank, vol. 71.
    11. Asror Nigmonov & Syed Shams, 2021. "COVID-19 pandemic risk and probability of loan default: evidence from marketplace lending market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-28, December.
    12. Huizinga, Harry & Bertay, Ata, 2021. "Non-performing Loans – New Risks and," Other publications TiSEM a6895089-0d83-451c-894b-9, Tilburg University, School of Economics and Management.
    13. Konrad Adler & Frederic Boissay, 2020. "Dealing with bank distress: Insights from a comprehensive database," BIS Working Papers 909, Bank for International Settlements.
    14. Sebastian Edwards, 2021. "Macroprudential Policies and The Covid-19 Pandemic: Risks and Challenges For Emerging Markets," NBER Working Papers 29441, National Bureau of Economic Research, Inc.
    15. Várkonyi, Patrik & Szücs, Tamás & Cziglerné, Erb Edina & Pasitka, Ármin, 2024. "A pénzügyi instrumentumok új számviteli standardja a Covid árnyékában [European banks implementation of IFRS 9 in the shadow of the pandemic]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 201-222.
    16. Diana Bonfim & Leonor Queiró & Luísa Farinha, 2021. "Heterogeneity in loan pricing: the role of bank capital," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    17. Lucia Alessi & Brunella Bruno & Elena Carletti & Katja Neugebauer & Isabella Wolfskeil, 2021. "Cover your assets: non-performing loans and coverage ratios in Europe [Bias-corrected matching estimators for average treatment effects]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 36(108), pages 685-733.
    18. Tölö, Eero & Virén, Matti, 2021. "How much do non-performing loans hinder loan growth in Europe?," European Economic Review, Elsevier, vol. 136(C).
    19. Kasinger, Johannes & Krahnen, Jan Pieter & Ongena, Steven & Pelizzon, Loriana & Schmeling, Maik & Wahrenburg, Mark, 2021. "Non-performing loans - new risks and policies? NPL resolution after COVID-19: Main differences to previous crises," SAFE White Paper Series 84, Leibniz Institute for Financial Research SAFE.
    20. Budnik, Katarzyna & Dimitrov, Ivan & Groß, Johannes & Kusmierczyk, Piotr & Lampe, Max & Vagliano, Gianluca & Volk, Matjaz, 2022. "The economic impact of the NPLcoverage expectations in the euro area," Occasional Paper Series 297, European Central Bank.
    21. Agnesa Krasniqi Pervetica & Skender Ahmeti, 2023. "The Effect of Financial Risk Management on the Financial Performance of Commercial Banks in Western Balkan Before and During COVID-19," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 7, pages 179-190.

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    More about this item

    Keywords

    non-performing loans; debt; banking crises; recessions; crisis resolution;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • 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
    • N10 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - General, International, or Comparative
    • N20 - Economic History - - Financial Markets and Institutions - - - General, International, or Comparative

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