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How Efficient Are Indian Banks in Managing the Risk-Return Trade-Off? An Empirical Analysis

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  • Jalaludeen Navas

    (Department of Statistics, Ramanujan School of Mathematical Science, Pondicherry University, Puducherry 605014, India)

  • Periyasamy Dhanavanthan

    (Department of Statistics, Ramanujan School of Mathematical Science, Pondicherry University, Puducherry 605014, India)

  • Daniel Lazar

    (Department of Commerce, School of Management Studies, Pondicherry University, Puducherry 605014, India)

Abstract

Risk taking is an inherent element of the banking business. Banks make conscious decisions regarding risk taking as they expect to make more return if they take more risk. The primary objective of this study is to empirically investigate the efficiency of Indian banks in generating return relative to the risk they take. If the efficiency measurement is not adjusted for different risk preferences, then a bank earning lower return at lower risk may be misclassified as less efficient compared to peers earning the same level of return, but operating at a higher level of risk. This paper uses measures of liquidity risk, credit risk, market risk, and insolvency risk to develop a risk-return stochastic frontier in order to examine the risk efficiency of banks, a novel attempt in the Indian context. The paper further analyzes the efficiency of banks with respect to bank specific characteristics and risk management regimes. The models are estimated using data from a sample of 47 major banks for the period 2009–2018. The study reveals that Indian banks, on average, exhibited lower efficiency in trading risk against return during the sample period.

Suggested Citation

  • Jalaludeen Navas & Periyasamy Dhanavanthan & Daniel Lazar, 2020. "How Efficient Are Indian Banks in Managing the Risk-Return Trade-Off? An Empirical Analysis," Risks, MDPI, vol. 8(4), pages 1-13, December.
  • Handle: RePEc:gam:jrisks:v:8:y:2020:i:4:p:135-:d:458767
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    References listed on IDEAS

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    1. Berger, Allen N. & Mester, Loretta J., 2003. "Explaining the dramatic changes in performance of US banks: technological change, deregulation, and dynamic changes in competition," Journal of Financial Intermediation, Elsevier, vol. 12(1), pages 57-95, January.
    2. Hughes, Joseph P. & Mester, Loretta J. & Moon, Choon-Geol, 2001. "Are scale economies in banking elusive or illusive?: Evidence obtained by incorporating capital structure and risk-taking into models of bank production," Journal of Banking & Finance, Elsevier, vol. 25(12), pages 2169-2208, December.
    3. Hughes, Joseph P. & Mester, Loretta J., 2013. "Who said large banks don’t experience scale economies? Evidence from a risk-return-driven cost function," Journal of Financial Intermediation, Elsevier, vol. 22(4), pages 559-585.
    4. Joseph P. Hughes & Loretta J. Mester, 2008. "Efficiency in banking: theory, practice, and evidence," Working Papers 08-1, Federal Reserve Bank of Philadelphia.
    5. Berger, Allen N, 1995. "The Profit-Structure Relationship in Banking--Tests of Market-Power and Efficient-Structure Hypotheses," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(2), pages 404-431, May.
    6. Ray, Subhash C. & Das, Abhiman, 2010. "Distribution of cost and profit efficiency: Evidence from Indian banking," European Journal of Operational Research, Elsevier, vol. 201(1), pages 297-307, February.
    7. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    8. 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.
    9. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    10. Kumbhakar, Subal C & Sarkar, Subrata, 2003. "Deregulation, Ownership, and Productivity Growth in the Banking Industry: Evidence from India," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(3), pages 403-424, June.
    11. Michael Koetter, 2008. "The stability of bank efficiency rankings when risk preferences and objectives are different," The European Journal of Finance, Taylor & Francis Journals, vol. 14(2), pages 115-135.
    12. Nurboja, Bashkim & Košak, Marko, 2017. "Banking efficiency in South East Europe: Evidence for financial crises and the gap between new EU members and candidate countries," Economic Systems, Elsevier, vol. 41(1), pages 122-138.
    13. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    14. Mukesh Kumar & Vincent Charles & Chandra Sekhar Mishra, 2016. "Evaluating the performance of indian banking sector using DEA during post-reform and global financial crisis," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 17(1), pages 156-172, February.
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