IDEAS home Printed from https://ideas.repec.org/a/eee/finsta/v20y2015icp93-104.html
   My bibliography  Save this article

Banking-industry specific and regional economic determinants of non-performing loans: Evidence from US states

Author

Listed:
  • Ghosh, Amit

Abstract

The present study examines state-level banking-industry specific as well as region economic determinants of non-performing loans for all commercial banks and savings institutions across 50 US states and the District of Columbia for 1984–2013. Using both fixed effects and dynamic-GMM estimations, I find greater capitalization, liquidity risks, poor credit quality, greater cost inefficiency and banking industry size to significantly increase NPLs, while greater bank profitability lowers NPLs. Moreover, higher state real GDP and real personal income growth rates, and changes in state housing price index reduce NPLs, while inflation, state unemployment rates, and US public debt significantly increase NPLs. The findings imply that regular stress tests on banks’ loan quality that typically underpin scenarios for a rise in NPLs, should take into account the impact of ‘micro’ or state-level economic conditions on NPLs, in addition to banks’ capital and credit quality, and effective cost management in assessing banks financial health.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:finsta:v:20:y:2015:i:c:p:93-104
    DOI: 10.1016/j.jfs.2015.08.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1572308915000881
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jfs.2015.08.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Perotti, Roberto, 1996. "Fiscal Consolidation in Europe: Composition Matters," American Economic Review, American Economic Association, vol. 86(2), pages 105-110, May.
    2. Mr. Raphael A Espinoza & Mr. Ananthakrishnan Prasad, 2010. "Nonperforming Loans in the GCC Banking System and their Macroeconomic Effects," IMF Working Papers 2010/224, International Monetary Fund.
    3. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    4. Petr Jakubík & Thomas Reininger, 2013. "Determinants of Nonperforming Loans in Central, Eastern and Southeastern Europe," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 48-66.
    5. 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.
    6. Kiyotaki, Nobuhiro & Moore, John, 1997. "Credit Cycles," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 211-248, April.
    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. Eftychia Nikolaidou & Sofoklis Vogiazas, 2014. "Credit Risk Determinants for the Bulgarian Banking System," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 20(1), pages 87-102, February.
    9. Raghuram G. Rajan, 1994. "Why Bank Credit Policies Fluctuate: A Theory and Some Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(2), pages 399-441.
    10. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    11. Jokivuolle, Esa & Pesola, Jarmo & Viren, Matti, 2015. "Why is credit-to-GDP a good measure for setting countercyclical capital buffers?," Journal of Financial Stability, Elsevier, vol. 18(C), pages 117-126.
    12. Brewer, Elijah & Deshmukh, Sanjay & Opiela, Timothy P., 2014. "Interest-rate uncertainty, derivatives usage, and loan growth in bank holding companies," Journal of Financial Stability, Elsevier, vol. 15(C), pages 230-240.
    13. Beck, Roland & Jakubik, Petr & Piloiu, Anamaria, 2013. "Non-performing loans: what matters in addition to the economic cycle?," Working Paper Series 1515, European Central Bank.
    14. Cifter, Atilla & Yilmazer, Sait & Cifter, Elif, 2009. "Analysis of sectoral credit default cycle dependency with wavelet networks: Evidence from Turkey," Economic Modelling, Elsevier, vol. 26(6), pages 1382-1388, November.
    15. 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.
    16. Carmen M. Reinhart & Kenneth S. Rogoff, 2011. "From Financial Crash to Debt Crisis," American Economic Review, American Economic Association, vol. 101(5), pages 1676-1706, August.
    17. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    18. Bernanke, Ben & Gertler, Mark, 1989. "Agency Costs, Net Worth, and Business Fluctuations," American Economic Review, American Economic Association, vol. 79(1), pages 14-31, March.
    19. Milne, Alistair, 2014. "Distance to default and the financial crisis," Journal of Financial Stability, Elsevier, vol. 12(C), pages 26-36.
    20. Vicente Salas & Jesús Saurina, 2002. "Credit Risk in Two Institutional Regimes: Spanish Commercial and Savings Banks," Journal of Financial Services Research, Springer;Western Finance Association, vol. 22(3), pages 203-224, December.
    21. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    22. Mr. Reinout De Bock & Mr. Alexander Demyanets, 2012. "Bank Asset Quality in Emerging Markets: Determinants and Spillovers," IMF Working Papers 2012/071, International Monetary Fund.
    23. Bruna Skarica, 2014. "Determinants of non-performing loans in Central and Eastern European countries," Financial Theory and Practice, Institute of Public Finance, vol. 38(1), pages 37-59.
    24. Nir Klein, 2013. "Non-Performing Loans in CESEE: Determinants and Impact on Macroeconomic Performance," IMF Working Papers 2013/072, International Monetary Fund.
    25. 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.
    26. Ms. Mwanza Nkusu, 2011. "Nonperforming Loans and Macrofinancial Vulnerabilities in Advanced Economies," IMF Working Papers 2011/161, International Monetary Fund.
    27. Barseghyan, Levon, 2010. "Non-performing loans, prospective bailouts, and Japan's slowdown," Journal of Monetary Economics, Elsevier, vol. 57(7), pages 873-890, October.
    28. Fatih Macit, 2012. "What Determines The Non-Performing Loans Ratio: Evidence From Turkish Commercial Banks," Journal Articles, Center For Economic Analyses, pages 33-39, June.
    29. Abdelkader Boudriga & Neila Boulila Taktak & Sana Jellouli, 2009. "Banking supervision and nonperforming loans: a cross‐country analysis," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 1(4), pages 286-318, November.
    30. Ahlem Selma Messai & Fathi Jouini, 2013. "Micro and Macro Determinants of Non-performing Loan," International Journal of Economics and Financial Issues, Econjournals, vol. 3(4), pages 852-860.
    31. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    32. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    33. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ghosh, Amit, 2017. "Sector-specific analysis of non-performing loans in the US banking system and their macroeconomic impact," Journal of Economics and Business, Elsevier, vol. 93(C), pages 29-45.
    2. Gulati, Rachita & Goswami, Anju & Kumar, Sunil, 2019. "What drives credit risk in the Indian banking industry? An empirical investigation," Economic Systems, Elsevier, vol. 43(1), pages 42-62.
    3. Florian Manz, 2019. "Determinants of non-performing loans: What do we know? A systematic review and avenues for future research," Management Review Quarterly, Springer, vol. 69(4), pages 351-389, November.
    4. Gamze Öztürk DANIŞMAN, 2018. "Determinants of Bank Stability: A Financial Statement Analysis of Turkish Banks," Sosyoekonomi Journal, Sosyoekonomi Society, issue 26(38).
    5. Louhichi, Awatef & Boujelbene, Younes, 2016. "Credit risk, managerial behaviour and macroeconomic equilibrium within dual banking systems: Interest-free vs. interest-based banking industries," Research in International Business and Finance, Elsevier, vol. 38(C), pages 104-121.
    6. Vasiliki Makri, 2016. "Towards an Investigation of Credit Risk Determinants in Eurozone Countries," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 15(1), pages 27-57, March.
    7. Vasiliki Makri, 2015. "What Triggers Loan Losses? An Empirical Investigation of Greek Financial Sector," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 65(3-4), pages 119-143, july-Dece.
    8. Vyshnevskyi, Iegor & Sohn, Wook, 2023. "Nonperforming loans and related lending: Evidence from Ukraine," Emerging Markets Review, Elsevier, vol. 57(C).
    9. Sascha Tobias Wengerek & Benjamin Hippert & André Uhde, 2019. "Risk allocation through securitization - Evidence from non-performing loans," Working Papers Dissertations 58, Paderborn University, Faculty of Business Administration and Economics.
    10. Koju Laxmi & Abbas Ghulam & Wang Shouyang, 2018. "Do Macroeconomic Determinants of Non-Performing Loans Vary with the Income Levels of Countries?," Journal of Systems Science and Information, De Gruyter, vol. 6(6), pages 512-531, December.
    11. Maryem Naili & Younes Lahrichi, 2022. "The determinants of banks' credit risk: Review of the literature and future research agenda," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 334-360, January.
    12. Rahbar , Farhad & Behzadi Soufiani , Mohsen, 2021. "The Impact of Macroeconomic and Banking Variables on Non-Performing Loans in Oil Cycles: Evidence from Iran," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 16(2), pages 135-164, June.
    13. Us, Vuslat, 2017. "Dynamics of non-performing loans in the Turkish banking sector by an ownership breakdown: The impact of the global crisis," Finance Research Letters, Elsevier, vol. 20(C), pages 109-117.
    14. Maria Kasselaki & Athanasios Tagkalakis, 2014. "Financial soundness indicators and financial crisis episodes," Annals of Finance, Springer, vol. 10(4), pages 623-669, November.
    15. Pancotto, Livia & ap Gwilym, Owain & Williams, Jonathan, 2024. "The evolution and determinants of the non-performing loan burden in Italian banking," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
    16. 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.
    17. Laxmi Koju & Ram Koju & Shouyang Wang, 2018. "Does Banking Management Affect Credit Risk? Evidence from the Indian Banking System," IJFS, MDPI, vol. 6(3), pages 1-11, July.
    18. Muhammad Umar & Gang Sun, 2016. "Non-performing loans (NPLs), liquidity creation, and moral hazard: Case of Chinese banks," China Finance and Economic Review, Springer, vol. 4(1), pages 1-23, December.
    19. Vuslat Us, 2016. "Determinants of Non-Performing Loans in the Turkish Banking Sector : What Has Changed After the Global Crisis?," CBT Research Notes in Economics 1627, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    20. Škrabić Perić, Blanka & Rimac Smiljanić, Ana & Aljinović, Zdravka, 2018. "Credit risk of subsidiaries of foreign banks in CEE countries: Impacts of the parent bank and home country economic environment," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 49-69.

    More about this item

    Keywords

    Non-performing loans; Bank balance sheet; State-level economic conditions; GMM-estimations; Financial stability;
    All these keywords.

    JEL classification:

    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • 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
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finsta:v:20:y:2015:i:c:p:93-104. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jfstabil .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.