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This paper aims to investigate the productivity behavior of Indian banks in the presence of non-performing assets (NPAs) over the period 1999 to 2017. The study examines whether Indian banks withstand the shocks of the global financial crisis (GFC) of 2007–2009 and sustain their total factor productivity (TFP) levels in the post-crisis economic turbulent period or not.

The robust estimates of TFP and its components: efficiency change and technical change are obtained using the state-of-the-art and innovative sequential Malmquist-Luenberger productivity index (SMLPI) approach. The key advantages of this approach are that it explicitly allows the joint production of undesirable output (NPAs in our case) along with desirable inputs and outputs in the production process and precludes the possibility of spurious technical regress.

The empirical results of the study reveal that the Indian banking system has experienced a (−1) percent TFP regress, contributed solely by efficiency loss during the period under investigation. The GFC has slowed down the growth trajectory of TFP growth in the Indian banking industry. Among ownership groups, the effect of the GFC was pronounced on the public sector banks.

The practical implication drawn from the study is that the Indian banks have not been able to successfully transmit the use of installed technology in a way to generate early warning signals and mitigate the risk of defaults so as to maximize their productivity gains in the banking industry.

This study is perhaps the first one to understand the productivity dynamics of the Indian banks in response to both endogenous (i.e. NPA crisis) and exogenous (i.e. global financial and economic stress) crises. Moreover, the authors obtain the robust estimates of TFP growth of Indian banks by explicitly accounting for NPAs as an undesirable output and equity as a quasi-fixed input in the bank production process.

The paper seeks to estimate and analyze the Value Added Intellectual Coefficient (VAIC™) for measuring the value‐based performance of the Indian banking sector for a period of five years from 2000 to 2004.

Annual reports, especially the profit/loss account and balance‐sheet of the banks concerned for the relevant years, were used to obtain the data. A review is conducted of the international literature on intellectual capital with specific reference to literature that reviews measurement techniques and tools, and the VAIC™ method is applied in order to analyze the data of Indian banks for the five‐year period. The intellectual or human capital (HC) and physical capital (CA) of the Indian banking sector is analysed and their impact on the banks' value‐based performance is discussed.

The study confirms the existence of vast differences in the performance of Indian banks in different segments, and there is also an improvement in the overall performance over the study period. There is an evident bias in favour of the performance of foreign banks compared with domestic banks.

All 98 scheduled commercial banks are studied as per the information provided by the Reserve Bank of India (RBI)/India's Apex bank. Regional rural banks (RRBs), a segment of the indian banking sector, are not dealt with in the study since their number is large (more than 200), but they contribute only 3 percent of the market of Indian banks. This paper is a landmark in Indian banking history as it approaches performance measurement with a new dimension.

The paper has strong theoretical foundations, which have a proven record and applications. The methodology adopted has been research tested. Domestic banks in India are provided with a new dimension to understand and evaluate their performance and benchmark it with global standards. The paper also has policy implications, as it reflects the lop‐sided growth of a few sections in the Indian banking segment.

The paper represents a pioneering and seminal attempt to understand the implications of the business performance of the Indian banking sector from an intellectual resource perspective.

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.

The present study aims to comprehensively examine the impact of the Union Bank of Switzerland (UBS) takeover of Credit Suisse on the banking and financial services sector in the Indian stock market. To fully comprehend the impact of the event, the study separately investigates the response of private sector banks, public sector banks, overall banking companies and financial services companies to the takeover of the second-largest financial institution in Switzerland.

The study employs event study methodology, using the market model, to analyze the event's impact on Indian banking and financial services sector stocks. The data consists of daily closing prices of companies included in the Nifty Private Bank Index, Nifty PSU Bank Index, Nifty Bank Index and Nifty Financial Services Index from the National Stock Exchange (NSE). Furthermore, cross-sectional regression analysis has been conducted to explore the factors that drive abnormal returns.

The empirical findings of the study suggest the event had a heterogeneous impact on the stock prices of Indian banks and financial services companies. While public sector banks experienced a significant negative impact on select days within the event window, the overall Indian banking sector and financial services companies also witnessed notable declines. In contrast, Indian private sector banks were relatively resilient, exhibiting minimal effects. However, the cumulative effect is found to be insignificant for all four categories across different event windows. The study also observed that the cumulative abnormal returns (CARs) were significantly influenced by certain variables during different event windows.

To the best of the authors' knowledge, the present study is the earliest attempt that investigates the impact of the UBS takeover of Credit Suisse on the Indian banking and financial services sector using event study methodology and cross-sectional regression model.

The purpose of this paper is to inspect the effect of intellectual capital (IC) on the financial performance (FP) of Indian banks.

The study uses the data of 58 Indian banks, namely, 20 nationalised banks, 17 private Indian banks and 21 private foreign banks, for the period between 2009 and 2018. A modified value-added intellectual coefficient methodology was used for measuring the efficiency of the IC.

The efficiency of IC significantly enhances the profitability and productivity of the Indian banks. Overall, human capital is the most substantial component of IC in augmenting the profitability and productivity of the Indian banking industry. Structural capital and physical capital are vital only for improving profitability while the contribution of relational capital towards the banks’ FP is nominal. The result also shows that amongst the three categories of Indian banks, private foreign banks are most efficient in leveraging their IC.

The study results are only restricted to Indian banks and the data of only 58 banks are used for drawing the inferences.

The paper fills the void in the existing literature of IC and corporate FP by using the data set of Indian banks divided into the public sector, private Indian and private foreign banks.

By incorporating the role of nonperforming loans (NPLs), the study aims to assess the impact of global financial crisis (GFC) on the intermediation efficiency of Indian banks for the period of 1998/99 to 2016/17.

To obtain efficiency level of Indian banks, this study applied sequential data envelopment analysis (DEA) based directional distance function (DDF) approach, which performed simultaneous expansion of desirable output and reduction of undesirable output in the bank's loan production structure. Additionally, using fixed effect regression approach in the panel data framework, this study assesses both the phenomenon of σ- and unconditional β-efficiency convergence in public sector banks (PSBs), private banks (PBs), foreign banks (FBs) and overall scheduled commercial banks (SCBs) during the pre-crisis, crisis and post-crisis years in India.

Irrespective of the bank's production model, the evidence suggests that the accounting NPLs as an undesirable output significantly deteriorating the intermediation technical efficiency levels of Indian banks, especially after the crisis years until the last year of the study period. This reflects that Indian banks failed more to achieve their financial intermediation objective in the post-crisis years as compared to the crisis and pre-crisis years. In-depth, statistical evidence of commercial bank ownership groups reveals that public sector banks exhibit a higher level of efficiency in pursuance of traditional loan-based activity followed by private and foreign banks. The study also found the existence of sigma convergence in technical efficiency levels of Indian banks and ownership groups as well.

This study is perhaps the first one, which present the robust evolution of Indian banks intermediation efficiency by taking into account both endogenous (i.e. NPLs as an undesirable output and equity as a quasi-fixed input in the bank production process) crisis and exogenous (i.e. global financial and economic stress) crises. Moreover, none of the existing studies have conducted sub-period wise analysis to show the apparent occurrence of both convergence properties in technical efficiency, adding novelty in the literature.

The purpose of this paper is to examine the operational efficiency and effects of market concentration and diversification on the efficiency of Chinese and Indian banks in the 1997-2011 period.

This study employs the two-stage bootstrap procedure of Simar and Wilson (2007) to obtain valid inferences on the efficiency scores and the efficiency determinants.

Using data set for each country separately, the authors found that the bias-corrected cost efficiency displays an upward trend in Chinese and Indian banks. This trend is consistent with profit efficiency among Chinese banks, but the trend is unclear in Indian banks. Market concentration is negatively related to cost and profit efficiencies of Chinese banks. However, market concentration is positively associated with cost efficiency, but unrelated to profit efficiency of Indian banks. In Chinese banks, diversification of revenue, earning assets and non-lending earning assets are associated with increasing profit efficiency, but their effects to cost efficiency are not clear. In Indian banks, diversification of earning assets increases profit efficiency while there are cost efficiency losses from diversification of revenue and earning assets.

Bank regulators and supervisors in China should consider establishing policies to reduce market concentration and encourage diversification of revenue, earning assets and non-lending earning assets, while increasing concentration and diversification of earning assets should be encouraged in Indian banks.

To the best of the authors’ knowledge, this is the first study employing the double bootstrap procedure proposed by Simar and Wilson (2007) which can address the problem of the two-stage data envelopment analysis or SFA estimator in the efficiency literature on Chinese and Indian banks that efficiency scores obtained in the first stage are inter-dependent, and hence violating the basic assumption in regression analysis in the second stage.

The purpose of this paper is to explore the preparation level of Indian public sector banks for the implementation of Basel III. It is mandatory for public sector banks in India to make adequate preparations to comply with the Basel III international regulations.

This study uses a modified questionnaire (Ernst & Young, 2013; AL-Tamimi et al., 2016) to examine the preparedness level of Indian public sector banks for implementing Basel III. Seven hypotheses are developed and tested.

The results show that Indian public sector banks are positively inclined toward Basel III, and the awareness level of Indian banks’ managers is adequate concerning Basel III. The banks have required resources for the proper implementation of Basel III, which is a prerequisite for its implementation. Banks know about the expected benefits that can be attained from implementing Basel III appropriately and banks are also aware of the high cost attached with Basel III. The capital adequacy ratio of public sector banks is above 11 percent, showing the banks’ readiness for Basel III.

The public sector banks need to concentrate on revising the existing policies to sharpen their risk management practices. Moreover, improving the level of education on Basel III is still required and the results also support the importance of advanced technology and trained human resources at all level as a basic requirement for the implementation of Basel III. It can be achieved by the support of government, Reserve Bank of India (RBI) and other concerned agencies. The enforcement of Basel III will also create various challenges for Indian public sector banks, in terms of declining profitability, increasing capital requirements and nonperforming assets. That is why the impact of Basel III norms on Indian public sector banks cannot be undervalued.

The findings would assist the Indian public sector banks to know about their preparedness level for Basel III and what are the necessary actions to encourage Basel III implementation process. The present study would be important for regulators and decision makers in banks, as the main purpose of this study is to increase their awareness of Basel III norms. The result would also help the regulators regarding the corrective measures that should be taken by RBI in order to motivate the banks for enforcing Basel III.

The purpose of this paper is to examine the trends of cost efficiency (CE) of Indian banks in response to financial deregulation programme launched in early 1990s. More specifically, the findings of this paper offer empirical testing of the basic underlined hypothesis that the CE of banks will rise in the more liberal and competitive environment.

The study employs input-oriented data envelopment analysis (DEA) models that incorporate the quasi-fixed inputs to compute the cost, technical, and allocative efficiency scores for individual banks. The unbalanced panel data spanning from the financial year 1992-1993 to 2007-2008 are used for obtaining efficiency measures. In addition, the panel data Tobit model has been applied to investigate the bank-specific factors explaining variations in the CE.

The empirical findings pertaining to the trends of efficiency measures suggest that: first, deregulation programme has had a positive impact on the CE of Indian banks, and the observed increase in CE is entirely due to improvements in technical efficiency (TE); second, the ranking of ownership groups provides that public sector banks are more cost efficient along with the foreign than private banks; and third, there is a strong presence of global advantage hypothesis in the Indian banking industry. The results of post-DEA analysis reveal that size and exposure to off-balance sheet activities are the key determinants of CE. The results also support the existence of bad luck or bad management hypothesis in Indian banking industry.

The practical implication of the research findings is that the financial deregulation programme seems to be successful in achieving the CE gains in the Indian banking industry. This explicitly signals that the cautious approach of banking reforms adopted by Indian policy makers has started bearing fruit in terms of the creation of an efficient banking system, which is immune to any sort of financial crisis, and resilient to both internal and external shocks.

The present study offers new evidence on the time-series properties of cost, allocative, and TEs of Indian banks. The DEA models used in this study explicitly incorporate the equity as a quasi-fixed input, which accounts for “risk” in the bank efficiency measurement.

Purpose: The purpose of the study is to determine the significant difference between the performance of the Indian banks in pre coronavirus disease (COVID 19) and post COVID 19 periods. Further, it explores the impact of COVID 19 on the profitability of the Indian banks by investigating variation between the non-performing assets (NPAs) and the net profit of the banks during pre and post COVID 19 periods.

Need of the study: The COVID 19 outbreak has affected various industries including Indian banks which reported an increase in NPAs, and demand for credit which in turn impacted profitability. This study was carried out to examine the impact of COVID 19 outbreak on Indian banking sector.

Methodology: This study uses different banks’ NPA and net profits performance to examine the effect of COVID 19 on banks’ overall performance. The data have been collected from secondary sources, commercial websites, and websites of Indian banks (private and public sectors). t-Test was used to analyse the data.

Findings: Among public sector banks, Canara Bank was found to have a significant difference in net profit in the pre and post COVID 19 periods. In private sector banks, HDFC Bank showed a significant difference in the net profit in pre and post COVID 19 periods. For NPAs, all private banks showed no significant difference in pre and post COVID 19 period results.

Implications: The study revealed that both private and public sector banks in India were mildly affected by pandemic and most of them are significantly reporting no difference in net profit and NPAs during pre and post COVID 19 periods.