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Nonperforming Loans and Macrofinancial Vulnerabilities in Advanced Economies

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  • Mwanza Nkusu
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    Abstract

    We analyze the link between nonperforming loans (NPL) and macroeconomic performance using two complementary approaches. First, we investigate the macroeconomic determinants of NPL in panel regressions and confirm that adverse macroeconomic developments are associated with rising NPL. Second, we investigate the feedback between NPL and its macroeconomic determinants in a panel vector autoregressive (PVAR) model. The impulse response functions (IRFs) attribute to NPL a central role in the linkages between credit market frictions and macrofinancial vulnerability. They suggest that a sharp increase in NPL triggers long-lived tailwinds that cripple macroeconomic performance from several fronts.

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    Bibliographic Info

    Paper provided by International Monetary Fund in its series IMF Working Papers with number 11/161.

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    Length: 27
    Date of creation: 01 Jul 2011
    Date of revision:
    Handle: RePEc:imf:imfwpa:11/161

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    Related research

    Keywords: Banks; Credit risk; Developed countries; Economic models;

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    1. Demirguc-Kunt, Asli & Detragiache, Enrica & Gupta, Poonam, 2006. "Inside the crisis: An empirical analysis of banking systems in distress," Journal of International Money and Finance, Elsevier, vol. 25(5), pages 702-718, August.
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    7. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    8. 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.
    9. Cottarelli, Carlo & Dell'Ariccia, Giovanni & Vladkova-Hollar, Ivanna, 2005. "Early birds, late risers, and sleeping beauties: Bank credit growth to the private sector in Central and Eastern Europe and in the Balkans," Journal of Banking & Finance, Elsevier, vol. 29(1), pages 83-104, January.
    10. Juri Marcucci & Mario Quagliariello, . "Is Bank Portfolio Riskiness Procyclical? Evidence from Italy using a Vector Autoregression," Discussion Papers 05/09, Department of Economics, University of York.
    11. Mario Quagliariello, 2006. "BanksÂ’ Riskiness Over the Business Cicle: a Panel Analysis on Italian Intermediaries," Temi di discussione (Economic working papers) 599, Bank of Italy, Economic Research and International Relations Area.
    12. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, 02.
    13. Bun, Maurice J.G. & Kiviet, Jan F., 2006. "The effects of dynamic feedbacks on LS and MM estimator accuracy in panel data models," Journal of Econometrics, Elsevier, vol. 132(2), pages 409-444, June.
    14. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
    15. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    16. Williamson, Stephen D, 1987. "Financial Intermediation, Business Failures, and Real Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 95(6), pages 1196-1216, December.
    17. Raphael A. Espinoza & Ananthakrishnan Prasad, 2010. "Nonperforming Loans in the GCC Banking System and their Macroeconomic Effects," IMF Working Papers 10/224, International Monetary Fund.
    18. Asli Demirgüç-Kunt & Enrica Detragiache, 1998. "The Determinants of Banking Crises in Developing and Developed Countries," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 81-109, March.
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    Cited by:
    1. Inessa Love & Rima Turk Ariss, 2013. "Macro-Financial Linkages in Egypt: A Panel Analysis of Economic Shocks and Loan Portfolio Quality," Working Papers 201310, University of Hawaii at Manoa, Department of Economics.
    2. Castro, Vítor, 2013. "Macroeconomic determinants of the credit risk in the banking system: The case of the GIPSI," Economic Modelling, Elsevier, vol. 31(C), pages 672-683.
    3. Bruna Škarica, 2013. "Determinants of Non-Performing Loans in Central and Eastern European Countries," EFZG Working Papers Series 1307, Faculty of Economics and Business, University of Zagreb.
    4. Reinout De Bock & Alexander Demyanets, 2012. "Bank Asset Quality in Emerging Markets: Determinants and Spillovers," IMF Working Papers 12/71, International Monetary Fund.
    5. Rodrigo Lara Pinto & Gilneu Francisco Astolfi Vivan, 2013. "Converting the NPL Ratio into a Comparable Long Term Metric," Working Papers Series 309, Central Bank of Brazil, Research Department.
    6. Dimitrios P. Louzis & Aggelos T. Vouldis & Vasilios L. Metaxas, 2010. "Macroeconomic and bank-specific determinants of non-performing loans in Greece: a comparative study of mortgage, business and consumer loan portfolios," Working Papers 118, Bank of Greece.
    7. Schreiner, Josef, 2011. "Developments in Selected CESEE Countries: Deteriorating External Demand and Rising Risk Aversion Increasingly Weigh on Growth in CESEE," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 4.
    8. Pan, Huiran & Wang, Chun, 2013. "House prices, bank instability, and economic growth: Evidence from the threshold model," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1720-1732.

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