Abstract
Liquidity risk and credit risk are considered the two main sources of banking risk. This paper is an attempt to investigate their interconnectedness and impact on solvency performance banks. Using panel data of 42 public and private commercial banks in India over the period 2010–2019, we find that a bank’s liquidity as well as asset quality positions strongly influence its financial soundness (measured in terms of Z-solvency score). Further, bank size, capital positions, and income diversification are the significant drivers of a bank’s solvency performance. Our empirical results reveal that Basel 3 norms implementation by the Reserve Bank of India has strengthened the liquidity situation and the financial stability of Indian banks. We argue that it is essential for commercial banks to manage their credit risk and liquidity risk more proactively to remain financially solvent.
Similar content being viewed by others
Data availability
The authors confirm that the data that support the findings of this paper are collated from audited annual report of banks over years and from data source AceEquity.
References
Acharya, V. V., & Mora, N. (2015). A Crisis of Banks as Liquidity Providers. The Journal of Finance, 70(1), 1–43.
Acharya, V. V., & Viswanathan, S. (2011). Leverage, Moral Hazard, and Liquidity. The Journal of Finance, 66(1), 99–138.
Ahmeti, Y., Ahemti, A., & Ahmeti, S. (2022). The Impact of Cost Efficiency on Liquidity Risk in the Banking Sector: Evidence from Kosovo. Cuadernos De Economia, 45(127), 113–119.
Almarzoqi, R., Naceur, S. B., and Scopelliti, A. D. (2015). How Does Bank Competition Affect Solvency, Liquidity and Credit Risk?, IMF Working Paper, No. WP/15/210.
Arellano, M., & Bond, S. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. The Review of Economic Studies, 58(2), 277–297.
Basmann, R. L. (1960). On Finite Sample Distributions of Generalized Classical Linear Identifiability Test Statistics. Journal of the American Statistical Association, 55(292), 650–659.
Bawa, J. K., & Basu, S. (2020). Restructuring Assets Reform, 2013: Impact of Operational Ability, Liquidity, Bank Capital, Profitability and Capital on Bank Credit Risk. IIMB Management Review, 32, 267–279.
BCBS, (2010). Basel 3: A global regulatory framework for more resilient banks and banking system, December, BIS.
BCBS (2013). Basel 3: The Liquidity Coverage Ratio and Liquidity Risk Monitoring Tools, January, BIS.
Beck, T., Jonghe, O. D., & Schepens, G. (2013). Bank Competition and Stability: Cross-country Heterogeneity. Journal of Financial Intermediation, 22(2), 218–244.
Blundell, R., & Bond, S. (1998). Initial Conditions and Moment Restrictions in Dynamic Panel Models. Journal of Econometrics, 87(1), 115–143.
Bonfim, D., & Kim, M. (2012). Liquidity Risk in Banking: Is There Herding? European Banking Center Discussion Paper No. 2012–024.
Bryant, J. (1980). A Model of Reserves, Bank Runs, and Deposit Insurance. Journal of Banking and Finance, 4(4), 335–344.
Cai, R., & Zhang M. (2017). How does Credit Risk Influence Liquidity Risk? Evidence from Ukrainian Banks. VISNYK of the National Bank of Ukraine, Working Paper No.241, pp.21–33.
Davidson, R., & MacKinnon, J. G. (1993). Estimation and Inference in Econometrics. Oxford University Press.
Dermine, J. (1986). Deposit Rates, Credit Rates, and Bank Capital: The Klien- Monti Model Revisited. Journal of Banking and Finance, 10(1), 99–114.
Diamond, D. W., & Dybvig, P. H. (1983). Bank Runs, Deposit runs, and Liquidity. Journal of Political Economy, 91(3), 401–419.
Ghenimi, A., Chaibi, H., & Omri, M. A. B. (2017). The Effects of Liquidity Risk and Credit Risk on Bank Stability: Evidence from MENA Region. Borsa Istanbul Review, 17(4), 238–248.
Hakimi, A., Boussada, R., & Hamdi, H. (2020). The Interactional Relationships between Credit Risk, Liquidity Risk and Bank Profitability in MENA Region. Global Business Review, 23(3), 1–23.
He, Z., & Xiong, W. (2012). Rollover Risk and Credit Risk. The Journal of Finance, 57(2), 391–429.
Hetrich, M. (2015). Does Credit Risk Impact Liquidity Risk? Evidence from Credit Default Swap Markets. International Journal of Applied Economics, 12(2), 1–46.
Imbierowicz, B., & Rauch, C. (2014). The Relationship between Liquidity Risk and Credit Risk in Banks. Journal of Banking and Finance, 40, 242–256.
Juodis, A., Karavias, Y., & Sarafidis, V. (2021). A homogeneous approach to testing for granger non-causality in heterogeneous panels. Empirical Economics, 60, 93–112.
Kannan, R., Narain, A., & Ghosh, S. (2001). Determinants of Net Interest Margin under Regulatory Requirements: An Econometric Study. Economic and Political Weekly. January, 337–344.
Mpofu, T. R., & Nikolaidou (2018). Determinants of Credit Risk in the Banking System in Sub-Saharan Africa. Review of Development Finance, 8, 141-153
Sargan, J. D. (1958). The Estimation of Economic Relationships Using Instrumental Variables. Econometrica, 26(3), 393–415.
Tehulu, T. A., & Olana, D. R. (2014). Bank-Specific Determinants of Credit Risk: Empirical Evidence from Ethiopian Banks. Research Journal of Finance and Accounting., 5(7), 80–85.
Williams, B. (2007). Factors Determining Net Interest Margins in Australia: Domestic and Foreign Banks. Journal of Financial Markets, Institutions and Instruments., 16(3), 119–165.
Wooldridge, J. M. (1995). Score Diagnostics for Linear Models Estimated by Two Stage Least Squares. In Advances in Econometrics and Quantitative Economics: Essays in Honor of Professor C. R. Rao, ed. G. S. Maddala, P. C. B. Phillips, and T. N. Srinivasan, 66–87. Oxford: Blackwell.
Zellner, A. (1962). An Efficient Method of Estimating Seemingly Unrelated Regression Equations and Tests of Aggregation Bias. Journal of the American Statistical Association., 57, 500–509.
Acknowledgements
Authors gratefully acknowledge helpful comments and suggestions received from two anonymous reviewers to further improve this paper. We are thankful to the editor for invaluable suggestions during the revision process. All remaining errors are the author’s own.
Funding
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that there is no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Bandyopadhyay, A., Saxena, M. Interaction between credit risk, liquidity risk, and bank solvency performance: a panel study of Indian banks. Ind. Econ. Rev. 58, 311–328 (2023). https://doi.org/10.1007/s41775-023-00202-y
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s41775-023-00202-y