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Credit Risk Capital Estimation Under IRB Approach for Banks in India

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  • Richa Verma Bajaj

    (National Institute of Bank Management)

Abstract

In this paper, an attempt is made to estimate credit risk capital charge for public sector and private sector banks in India for the period from 2007–2008 to 2013–2014 under advanced internal rating based (AIRB) approach using Basel risk weight formula. The analysis brings out that credit risk capital charges would be higher for the banks with high default risk and recovery risk and vice-versa. The inter-sector comparison indicates that a substantial proportion of the overall additional capital requirement for credit risk would falls on the public sector banks. Hence, banks in this sector requires improvement in appraisal system and loan recovery mechanism to reduce burden of additional credit risk capital charges and for better-quality performance on risk adjusted basis.

Suggested Citation

  • Richa Verma Bajaj, 2018. "Credit Risk Capital Estimation Under IRB Approach for Banks in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(2), pages 475-500, June.
    • Handle: RePEc:spr:jqecon:v:16:y:2018:i:2:d:10.1007_s40953-017-0082-7
    DOI: 10.1007/s40953-017-0082-7
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    References listed on IDEAS

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    1. Fama, Eugene F., 1986. "Term premiums and default premiums in money markets," Journal of Financial Economics, Elsevier, vol. 17(1), pages 175-196, September.
    2. Mark Carey, 2001. "Dimensions of Credit Risk and Their Relationship to Economic Capital Requirements," NBER Chapters, in: Prudential Supervision: What Works and What Doesn't, pages 197-232, National Bureau of Economic Research, Inc.
    3. Lopez, Jose A., 2004. "The empirical relationship between average asset correlation, firm probability of default, and asset size," Journal of Financial Intermediation, Elsevier, vol. 13(2), pages 265-283, April.
    4. Gordy, Michael B., 2003. "A risk-factor model foundation for ratings-based bank capital rules," Journal of Financial Intermediation, Elsevier, vol. 12(3), pages 199-232, July.
    5. Bandyopadhyay, Arindam, 2011. "Internal Assessment of Credit Concentration Risk Capital: A Portfolio Analysis of Indian Public Sector Bank," MPRA Paper 28672, University Library of Munich, Germany.
    6. Bangia, Anil & Diebold, Francis X. & Kronimus, Andre & Schagen, Christian & Schuermann, Til, 2002. "Ratings migration and the business cycle, with application to credit portfolio stress testing," Journal of Banking & Finance, Elsevier, vol. 26(2-3), pages 445-474, March.
    7. Gordy, Michael B., 2000. "A comparative anatomy of credit risk models," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 119-149, January.
    8. Arindam Bandyopadhyay & Tasneem Chherawala & Asish Saha, 2007. "Calibrating asset correlation for Indian corporate exposures: Implications for regulatory capital," Journal of Risk Finance, Emerald Group Publishing, vol. 8(4), pages 330-348, August.
    9. Chunsheng Zhou, 1997. "Default correlation: an analytical result," Finance and Economics Discussion Series 1997-27, Board of Governors of the Federal Reserve System (U.S.).
    10. Bandyopadhyay, Arindam & Ganguly, Sonali, 2011. "Empirical estimation of default and asset correlation of large corporates and banks in India," MPRA Paper 33057, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Basel II; Credit loss estimation; Systematic risk; Credit portfolio risk; Risk based capital;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

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