Jyoti Prakash Sharma

Bio: Jyoti Prakash Sharma is an academic researcher from Reserve Bank of India. The author has contributed to research in topics: Profitability index & Business. The author has an hindex of 2, co-authored 2 publications receiving 7 citations.

Determining Risk Factors that Diminish Asset Quality of Indian Commercial Banks

Abstract: Controlling higher level of non-performing loans (NPLs) has become one of the key objectives of the Reserve Bank of India (RBI), as it may impact banking and macroeconomic stability adverse...

Facebook Adoption in Indian Banks: An Empirical Investigation:

Abstract: In this article, we try to identify the determinants of adoption of social media, in particular Facebook, among the Indian scheduled commercial banks. We have employed the survival analysis techniq...

On financial innovation

Abstract: In recent years, in all countries - albeit to varying degrees - many changes have taken place in the financial structure which have accompanied the development of new instruments, markets and financial intermediaries. A growing literature describes and analyses these changes, generically grouped together under the label of "financial innovation". In order to clarify the costs and benefits of what is meant by financial innovation, it is necessary to jointly examine both its causes and its effects. To this end, it is first necessary to consider some very general questions that thus far have yet to be answered in any certain or unambiguous way, if they have been considered in the scientific literature at all. The present work examines the current state of the theory of financial innovation, to then illustrate the main features of the innovation process currently taking place. This leads to some considerations on the resulting implications for the modus operandi of monetary policy and, more generally, for the definition of this policy’s transmission mechanisms.

Forecasting the macro determinants of bank credit quality: a non-linear perspective

Abstract: This study aims to propose a non-linear model to describe the effect of macroeconomic shocks on delinquency rates of three kinds of bank loans. Indeed, a wealth of literature has recognized significant evidence of the linkage between macro conditions and credit vulnerability, perceiving the importance of the high amount of bad loans for economic stagnation and financial vulnerability.,Generally, this linkage was represented by linear relationships, but the strong dependence of bank loan default on the economic cycle, subject to changes in regime, could suggest non-linear models as more appropriate. Indeed, macroeconomic variables affect the performance of bank’s portfolio loan, but such a relationship is subject to changes disturbing the stability of parameters along the time. This study is an attempt to model three different kinds of bank loan defaults and to forecast them in the case of the USA, detecting non-linear and asymmetric behaviors by the adoption of a Markov-switching (MS) approach.,Comparing it with the classical linear model, the authors identify evidence for the presence of regimes and asymmetries, changing in correspondence of the recession periods during the span of 1987–2017.,The data are at a quarterly frequency, and more observations and more extended research periods could ameliorate the MS technique.,The good forecasting performance of this model could be applied by authorities to fine-tune their policies and deal with different types of loans and to diversify strategies during the different economic trends. In addition, bank management can refer to the performance of macroeconomic conditions to predict the performance of their bad loans.,The authors show a clear outperformance of the MS model concerning the linear one.

Determining Risk Factors that Diminish Asset Quality of Indian Commercial Banks

Abstract: Controlling higher level of non-performing loans (NPLs) has become one of the key objectives of the Reserve Bank of India (RBI), as it may impact banking and macroeconomic stability adverse...

Operational and policy efficiency: a comparison between public and private Indian banks

Abstract: PurposeThis paper introduces the concept of policy efficiency of banks as their efficiency in implementing the government's policies. It further compares the Indian public sector banks (PSBs) and private sector banks (PVBs) on two efficiency paradigms, operational efficiency and policy efficiency.Design/methodology/approachA three-stage analysis is carried out on data collected for 19 PSBs and 16 PVBs for ten years. Non-radial DEA with slack-based measure (SBM) is used to obtain efficiency scores of the banks for the two efficiency paradigms. The efficiency scores and the changes in efficiency and Malmquist index are further analysed by Tobit regression and seemingly unrelated regression (SUR) models.FindingsPVBs are found to be more operationally efficient than PSBs. On the contrary, PSBs are found to be more policy efficient. Among the PSBs, the older and larger banks performed better in both the paradigms. Though Indian banks have become more operational and policy efficient over the years, the rate of improvement is slowing down.Practical implicationsResults imply that evaluating banks, especially PSBs, only on their operational efficiency is myopic. Their efficacies must also be measured by the roles they play on social and policy front. The loss of efficiency of Indian PSBs in a competitive environment should provoke thoughts of reforms. The study suggests that the proposed merger of PSBs to form large banks might be fruitful.Originality/valueThe study contributes to the literature by introducing the measure of policy efficiency. It shows that the Indian PSBs are indispensable as vehicles of government policy implementation.

What drives the performance of different bank-ownership types in Indonesia? The pre- and post-GFC analysis

Abstract: PurposeThe Indonesian banks play crucial roles in the economy, especially because of less developed bond and stock markets. It has undergone drastic changes in bank-ownership composition over time. This paper aims to analyze the impact of bank-specific characteristics on the performance of different bank-ownership types in Indonesia to determine whether their profitability drivers differ.Design/methodology/approachFixed-effect panel data regression is applied to 1,649 bank-year observations (97 banks throughout 2003–2019). It encompasses the pre- and post-global financial crisis (GFC) period.FindingsThe findings show that age, liquidity, equity and credit risk are significant determinants of bank performance. The significance of these effects differs for each bank-ownership type and show changes between the pre-GFC and post-GFC periods.Research limitations/implicationsNotwithstanding the merit of this paper, the results are not without limitations. This paper only focuses on one country. Furthermore, the prominence of banks relative to bond and stock markets with consideration of the GDP of countries may result in different findingsPractical implicationsThese findings provide the owners and managers of banks with information that can be applied to compare and assess own bank drivers and performance to enhance their own efficiency. The findings also inform bank authorities and regulators about differences in performance drivers that could be considered in changes to policies aimed at improving the performance of different bank-ownership types.Originality/valueThis paper is a pioneer study that focuses on the drivers of bank performance for different ownership types during the pre- and post-GFC periods in a country where the financial market is overall small and bank credits dominate capital supply.