Abstract
This study has two objectives, first, to investigate if the lending behaviour of banks exhibits moral hazard in the Indian Banking Industry, and second, to investigate whether banks’ moral hazard behaviour changes when the systemic importance of the banks is taken into consideration. We studied banks’ moral hazard behaviour by observing the impact of their level of Net Non-Performing Loans (NNPL) on their lending behaviour. This study used threshold panel regression by using 1 year lagged values of NNPL as the threshold variable to find its endogenously determined value that impacts the lending behaviour of the banks. The 1 year lagged value of the NNPL (threshold variable) has been used to depict the level of distress faced by a bank. Assuming that loans may turn bad any year after they are granted, a banks’ lending behaviour has been shown through the relationship between various lags of Loan Growth Rate (LGR) and the contemporaneous values of Net Non-Performing Loans (NNPL). As per our analysis, the loan growth ratio raises NPLs with a relatively higher value when banks are experiencing prior sizable loan losses as compared to when banks are relatively safe, indicating moral hazard behaviour in the Indian banking industry. However, when the systemic importance of the bank is considered, the systemically important banks are found to be engaged in risky lending irrespective of their level of distress, whereas the opposite results are found for the least important banks.
Subject
Finance,Economics and Econometrics,Accounting,Business, Management and Accounting (miscellaneous)
Reference58 articles.
1. Allen, Franklin, and Gale, Douglas (2001). Comparative Financial Systems: A Survey, University of Pennsylvania, Wharton School Center for Financial Institutions.
2. Too important to fail: Bankruptcy versus bailout of socially important non-financial institutions;Harvard Business Law Review,2017
3. Large shareholdings and corporate control: An analysis of stake purchases by French holding companies;Banerjee;European Financial Management,1997
4. Threshold effect of bank-specific determinants of non-performing assets: An application in Indian banking;Bardhan;Journal of Emerging Market Finance,2019
5. Forecasting bank failure: A non-parametric frontier estimation approach;Barr;Recherches Économiques de Louvain/Louvain Economic Review,1994
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献