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What drives credit risk in the Indian banking industry? An empirical investigation

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  • Gulati, Rachita
  • Goswami, Anju
  • Kumar, Sunil

Abstract

Using a two-step system GMM approach on a unique bank-level dataset for the period 1998/99–2013/14, this paper tries to explore the key determinants of credit risk in the Indian banking industry. The main premise of this paper is that, along with regulatory and institutional factors, both macroeconomic and bank-specific variables influence the formation of credit risk in a banking system, and their influences vary across ownership groups. The empirical findings suggest that lower profitability, more diversification in the banking business, the large size of banks and a higher concentration of banks in lending increase the probability of defaults in India. We find a significant degree of persistence in credit risk, and the observed persistence is higher in the gross non-performing loans (NPLs) specification relative to what has been observed in the net NPLs specification. In the case of public sector banks, NPLs are more sensitive to internal bank-specific factors, while for private and foreign banks, macroeconomic and industry-related factors play a significant role in determining credit risk. Our results are robust for different panel data estimation models and sub-samples of ownership groups. The findings of this paper provide important insights into the formation of default risk in the banking system of an emerging market economy.

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  • 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.
  • Handle: RePEc:eee:ecosys:v:43:y:2019:i:1:p:42-62
    DOI: 10.1016/j.ecosys.2018.08.004
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    3. Faridah Najuna Misman & Wahida Ahmad & Noor Sufiawati Khairani & Nur Hazimah Amran, 2020. "Credit Risk, Islamic Contracts and Ownership Status: Evidence From Malaysian Islamic Banks," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(3), pages 106-114, June.
    4. Nguyen, Canh Phuc & Le, Thai-Ha & Su, Thanh Dinh, 2020. "Economic policy uncertainty and credit growth: Evidence from a global sample," Research in International Business and Finance, Elsevier, vol. 51(C).

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    More about this item

    Keywords

    Credit risk; Persistence effect; System GMM; Indian banks;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies

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