IDEAS home Printed from https://ideas.repec.org/a/kap/iecepo/v13y2016i3d10.1007_s10368-016-0344-4.html
   My bibliography  Save this article

Bank-specific determinants of nonperforming assets of Indian banks

Author

Listed:
  • Samaresh Bardhan

    (Indian institute of Technology)

  • Vivekananda Mukherjee

    (Jadavpur University)

Abstract

The paper examines the role of bank-specific variables in explaining the dynamics of non-performing assets (NPAs) of Indian banks in a panel data framework over the post liberalisation period, 1995–2011. The results have been derived after controlling for macroeconomic factors like real GDP, inflation, exchange rate etc. Applying several variants of Generalized Method of Moments (GMM) technique in dynamic models, we find that that there is significant time persistence of NPAs in Indian banking system. We also find that larger banks are more prone to default than smaller banks. We find support for the ‘bad management hypothesis’ as we observe that an increase in profit level of the banks reduces NPAs in the next period. Lagged capital adequacy ratio as an important prudential indicator also significantly reduces current NPAs of banks. The paper also draws some important policy implications about NPA management.

Suggested Citation

  • Samaresh Bardhan & Vivekananda Mukherjee, 2016. "Bank-specific determinants of nonperforming assets of Indian banks," International Economics and Economic Policy, Springer, vol. 13(3), pages 483-498, July.
  • Handle: RePEc:kap:iecepo:v:13:y:2016:i:3:d:10.1007_s10368-016-0344-4
    DOI: 10.1007/s10368-016-0344-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10368-016-0344-4
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10368-016-0344-4?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. Ghate, Chetan & Pandey, Radhika & Patnaik, Ila, 2013. "Has India emerged? Business cycle stylized facts from a transitioning economy," Structural Change and Economic Dynamics, Elsevier, vol. 24(C), pages 157-172.
    2. 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.
    3. 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.
    4. 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.
    5. Ms. Brenda Gonzalez-Hermosillo, 1999. "Determinants of Ex-Ante Banking System Distress: A Macro-Micro Empirical Exploration of Some Recent Episodes," IMF Working Papers 1999/033, International Monetary Fund.
    6. Rajaraman, Indira & Vasishtha, Garima, 2001. "Non-performing loans of PSU banks: Some panel results," Working Papers 01/4, National Institute of Public Finance and Policy.
    7. 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.
    8. 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.
    9. Williams, Jonathan, 2004. "Determining management behaviour in European banking," Journal of Banking & Finance, Elsevier, vol. 28(10), pages 2427-2460, October.
    10. Stephen Bond & Frank Windmeijer, 2002. "Finite sample inference for GMM estimators in linear panel data models," CeMMAP working papers CWP04/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Breuer, Janice Boucher, 2006. "Problem bank loans, conflicts of interest, and institutions," Journal of Financial Stability, Elsevier, vol. 2(3), pages 266-285, October.
    12. 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.
    13. 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.
    14. Samaresh Bardhan & Vivekananda Mukherjee, 2013. "Willful Default In Developing Country Banking System: A Theoretical Exercise," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 38(4), pages 101-121, December.
    15. Helge Berger & Carsten Hefeker, 2008. "Does financial integration make banks more vulnerable? Regulation, foreign owned banks, and the lender-of-last resort," International Economics and Economic Policy, Springer, vol. 4(4), pages 371-393, February.
    16. Paul Welfens, 2008. "Banking crisis and prudential supervision: a European perspective," International Economics and Economic Policy, Springer, vol. 4(4), pages 347-356, February.
    17. 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.
    18. 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.
    19. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    20. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Karan Singh Khati & Deep Mukherjee, 2021. "Productive Efficiency and Non-performing Assets of Indian Banks in the Post-global Financial Crisis Period," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 22(2), pages 186-204, September.
    2. K. Dhananjaya, 2024. "Corporate Debt Vulnerability and Non-performing Assets in India," Global Business Review, International Management Institute, vol. 25(2), pages 444-467, April.
    3. Dhananjaya Kadanda & Krishna Raj, 2018. "Non-performing assets (NPAs) and its determinants: a study of Indian public sector banks," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 20(2), pages 193-212, October.
    4. 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.
    5. Changjun Zheng & Probir Kumar Bhowmik & Niluthpaul Sarker, 2019. "Industry-Specific and Macroeconomic Determinants of Non-Performing Loans: A Comparative Analysis of ARDL and VECM," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
    6. Gupta, Juhi & Kashiramka, Smita, 2024. "Examining the impact of liquidity creation on bank stability in the Asia Pacific region: Do ESG disclosures play a moderating role?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    7. Bharat Kumar Meher & G. L. Puntambekar & Iqbal Thonse Hawaldar & Cristi Spulbar & Ramona Birau & Cristian Rebegea, 2020. "An Effectiveness Assessment of Preventive Management Strategies in order to Manage Non Performing Assets in Indian banks: A Case Study," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 67(2), pages 235-258, June.
    8. Samaresh Bardhan & Rajesh Sharma & Vivekananda Mukherjee, 2019. "Threshold Effect of Bank-specific Determinants of Non-performing Assets: An Application in Indian Banking," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(1_suppl), pages 1-34, April.
    9. Anju Goswami & Pooja Malik, 2024. "Identifying Financial Performance Drivers in the Indian Banking Sector During the COVID-19 Crisis," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 22(3), pages 667-719, September.
    10. Mohammad Farhat Uddin & Vivek Deshwal & Syed Husain Ashraf, 2023. "A Study of Factors Amplifying Non-Performing Assets in Public and Private Banks in the Indian Economy," ComFin Research, Shanlax Journals, vol. 11(2), pages 1-4, April.
    11. Gupta, Juhi & Kashiramka, Smita & Ly, Kim Cuong & Pham, Ha, 2023. "The interrelationship between bank capital and liquidity creation: A non-linear perspective from the Asia-Pacific region," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 793-820.
    12. Grover, Naina & Sinha, Pankaj, 2019. "Determinants, Persistence and value implications of liquidity creation: An evidence from Indian Banks," MPRA Paper 94280, University Library of Munich, Germany.
    13. Swati Singh & Manpreet Arora, 2023. "Examining and analysing the determinants of non-performing assets in public and private sector banks in India," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 25(4), pages 553-568.
    14. Gupta, Juhi & Kashiramka, Smita, 2020. "Financial stability of banks in India: Does liquidity creation matter?," Pacific-Basin Finance Journal, Elsevier, vol. 64(C).

    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. 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.
    2. Gamze Öztürk DANIŞMAN, 2018. "Determinants of Bank Stability: A Financial Statement Analysis of Turkish Banks," Sosyoekonomi Journal, Sosyoekonomi Society, issue 26(38).
    3. 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.
    4. 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.
    5. Pawlowska, Malgorzata, 2016. "Does the size and market structure of the banking sector have an effect on the financial stability of the European Union?," The Journal of Economic Asymmetries, Elsevier, vol. 14(PA), pages 112-127.
    6. Vuslat Us, 2017. "A dynamic approach to analysing the effect of the global crisis on nonperforming loans: evidence from the Turkish banking sector," Applied Economics Letters, Taylor & Francis Journals, vol. 24(3), pages 186-192, February.
    7. 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.
    8. Benjamin M. Tabak & Giovana L. Craveir & Daniel O. Cajueiro, 2011. "Bank Efficiency and Default in Brazil: Causality Tests," Working Papers Series 253, Central Bank of Brazil, Research Department.
    9. Md. Shahidul Islam & Shin-Ichi Nishiyama, 2016. "The Determinants of Non-performing Loans: Dynamic Panel Evidence from South Asian Countries," TERG Discussion Papers 353, Graduate School of Economics and Management, Tohoku University.
    10. Maria Kasselaki & Athanasios Tagkalakis, 2014. "Financial soundness indicators and financial crisis episodes," Annals of Finance, Springer, vol. 10(4), pages 623-669, November.
    11. Md. Shahidul Islam & Shin-Ichi Nishiyama, 2017. "Is this adverse selection or something else to determine the non-performing loans? Dynamic panel evidence from South Asian countries," Discussion Papers 1723, Graduate School of Economics, Kobe University.
    12. 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).
    13. 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.
    14. Nir Klein, 2013. "Non-Performing Loans in CESEE: Determinants and Impact on Macroeconomic Performance," IMF Working Papers 2013/072, International Monetary Fund.
    15. Chaibi, Hasna & Ftiti, Zied, 2015. "Credit risk determinants: Evidence from a cross-country study," Research in International Business and Finance, Elsevier, vol. 33(C), pages 1-16.
    16. 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.
    17. Samuel Fosu & Albert Danso & Henry Agyei-Boapeah & Collins G. Ntim & Emmanuel Adegbite, 2020. "Credit information sharing and loan default in developing countries: the moderating effect of banking market concentration and national governance quality," Review of Quantitative Finance and Accounting, Springer, vol. 55(1), pages 55-103, July.
    18. Love, Inessa & Turk Ariss, Rima, 2014. "Macro-financial linkages in Egypt: A panel analysis of economic shocks and loan portfolio quality," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 158-181.
    19. Cicchiello, Antonella Francesca & Cotugno, Matteo & Perdichizzi, Salvatore & Torluccio, Giuseppe, 2022. "Do capital buffers matter? Evidence from the stocks and flows of nonperforming loans," International Review of Financial Analysis, Elsevier, vol. 84(C).
    20. 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.

    More about this item

    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:kap:iecepo:v:13:y:2016:i:3:d:10.1007_s10368-016-0344-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.