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The purpose of this paper is to examine the impact of credit risk components on the performance of credit risk management and the growth in non-performing assets (NPAs) of commercial banks in India.

The data are obtained from primary and secondary sources. The primary data are collected by administering questionnaire among risk managers of Indian banks. The secondary data on NPAs of Indian banks are from annual reports and Prowess database compiled by the Centre for Monitoring Indian Economy. Multiple linear regression is used to estimate the models for the study.

The results suggest that the identification of credit risk significantly affects the credit risk performance. The results are robust as credit risk identification is negatively related to annual growth in NPAs or loans. There is evidence in support of a priori expectation of better credit risk performance of private banks compared to that of government banks.

The study has implications for Indian banks suffering from a high level of losses due to bad loans. In addition, it will have implications for the implementation of new Basel Accord norms (Basel III) by the Reserve Bank of India.

The high and rising level of NPAs will have adverse consequences for credit flow in the economy in the absence of appropriate intervention by government and central bank in the form of changes in institutional and regulatory infrastructure. The problems in banking and financial services sector will lead to lower industrial and aggregate economic growth, and lower (or negative) growth in employment.

There is little evidence on credit risk management practices of Indian banks, and its relationship with credit risk performance and NPA growth. The need for an effective risk management system to manage credit risk assumes importance and urgency in the context of high and rising NPAs of Indian banks, and the consequences for the Indian economy.

The purpose of this paper is to analyse the relationship between operational risk management (ORM), size, and ownership of Indian banks. This is important in the context of financial crisis experienced by developed countries due to lax regulation.

ORM practices of Indian banks are proxied by excess capital (over the required minimum capital for operational risk). Size of a bank is measured as deposits plus advances. Our sample includes 61 Indian banks during the period from 2010 to 2013. The authors empirically examine the impact of bank size on excess capital using panel data regression model.

The results suggest that size of Indian banks is inversely related to excess capital held by them for managing operational risk. The inverse relationship implies that smaller banks hold higher excess capital over the required minimum as per Basel norms. There is no significant relationship between ownership (public, private and foreign) and excess capital held by banks for managing operational risk.

The study has implications for Indian banks given the high level of losses due to bad loans, and the implementation of Basel III norms by the central bank, i.e. Reserve Bank of India.

The study has implications for Indian financial system as a large percentage (about 33 per cent) of household savings are deployed in deposits with commercial banks and other financial institutions. The bank failure(s) can have disastrous consequences for the Indian economy as the capacity of the Indian financial system to withstand such shocks is highly doubtful.

There is very little evidence on ORM practices of Indian banks, and its relationship with size and ownership. The study assumes significance in the context of significant changes in the institutional and regulatory framework.