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Role of Credit Risk in Performance difference between A and B Class Banks in Nepal

Author

Listed:
  • Hari Gopal Risal

    (Kathmandu University School of Management, Nepal)

  • Suprima Poudel

    (Kathmandu University School of Management, Nepal)

Abstract

This paper explains the performance differences between A and B class financial institutions arising from credit risk. The dynamic panel data from 2008 to 2019 has been considered from all 28 commercial banks and 11 national level development banks for analysis. Arellano Bond method has been performed to control the unobserved heterogeneity and to reduce biasness in the parameter estimation as they have both cross sectional and time dimensions. The results have shown clear differences in credit risk status between A class and B class bank with all the parameters except for Return on Assets (ROA). The results show that the A class commercial banks are less vulnerable than the B class bank as measured by Standard deviation of ROA ( standard deviation of return on equity (SDROE) both, yet offer substantially higher ROE and fairly higher NIM. Findings suggest that the past performance BFIs, regardless their classes, are capable enough to predict their future performance as all lag variables are significant. Development banks are advised to focus on maintaining appropriate credit to deposit ratio (CDR) as it has been affecting most of the performance indicators whereas, commercial banks are advised to monitor their loan loss provision to total loans and advances (LLPTLA) for better performance. The control variables have been found to have negligible effect on performance of banks yet higher inflation deteriorates the performance even at a small amount. Further, contradictory findings on influence of real gross domestic product (GDP) growth with the performance demands a need of further research. To recapitulate, the credit risk plays a vital role in performance of banks in Nepal and A class banks safer with returns.

Suggested Citation

  • Hari Gopal Risal & Suprima Poudel, 2020. "Role of Credit Risk in Performance difference between A and B Class Banks in Nepal," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 32(1), pages 37-53, April.
    • Handle: RePEc:nrb:journl:v:32:y:2020:i:1:p:37
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    References listed on IDEAS

    as
    1. Douglas Gale, 2010. "The Effects of Bank Capital on Lending: What Do We Know, and What Does It Mean?," International Journal of Central Banking, International Journal of Central Banking, vol. 6(34), pages 187-204, December.
    2. Urbain, J.R.Y.J. & Westerlund, J., 2006. "Spurious regression in nonstationary panels with cross-unit cointegration," Research Memorandum 057, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    3. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    4. Juliana Stanley Isanzu, 2017. "The Impact of Credit Risk on the Financial Performance of Chinese Banks," Journal of International Business Research and Marketing, Inovatus Services Ltd., vol. 2(3), pages 14-17, March.
    5. Jeroen Klomp & Jacob de Haan, 2010. "Banking risk and regulation: Does one size fit all?," CPB Discussion Paper 164, CPB Netherlands Bureau for Economic Policy Analysis.
    6. 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.
    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.
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    More about this item

    Keywords

    credit risk; performance of banks; return on assets and equity;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • F65 - International Economics - - Economic Impacts of Globalization - - - Finance
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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