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In the backdrop of an increase in market-based banking activities, this paper aims to study operational efficiency of Indian banking sector during 2009–2010 through 2017–2018 considering Capital Gain and Gain from Forex Market (as desirable outputs) and Slippage (as undesirable byproducts) simultaneously, along with Advances – a desirable output considered in the traditional banking performance assessment literature. This enables to have an assessment of performance (as captured by the measured efficiency scores) of Indian Banks following an alternative viewpoint about the banking activities. The authors also explain such efficiency scores in terms of bank-specific factors, banking industry competition scenario and interest rate channel.

Using data envelopment analysis (DEA) method, the authors estimate six alternatives but interlinked operational efficiency scores (TES) of the Indian domestic commercial banks. In the second stage, they explain such TES in terms of bank-specific factors, banking industry competition scenario and interest rate channel.

The authors observe that the private sector banks as a group outperform those under public ownership. Moreover, although the private sector banks could maintain somewhat consistency in their operational efficiency performance over the sample period, public sector banks clearly show a declining tendency. The second stage econometric estimation results show that the priority sector lending has a negative effect on efficiency. Interestingly, the authors get varying results for the relationship between maturity and efficiency score depending on banks’ strategies on stressed assets management. Furthermore, the analyses result that banks are not so efficient in managing relatively larger-volume loans. It is also observed that banks’ efficiency positively depends on the Credit-to-Deposit (CD) ratio. It is found that the overall operational efficiency of the banks to manage their credit risk portfolio improves with a reduction in the lending rate (LR). However, the interaction of lending activities and capital market shows that with the increase in LR, corporate borrowers may switch to capital market to explore for desired funds, which may induce the banking sector to investment in capital markets and create a positive market sentiment.

Literature, although scanty, is there dealing stressed assets of a bank as some undesirable byproducts of its operational and business activities. However, such literature mostly done within the traditional framework of banking business activities and modern market-based business activities are almost absent in the literature. The authors have done it in the present study.

This study aims to examine the impact and contribution of priority and non-priority sectors, as well as their sub-sectors, on the gross non-performing assets of public, private and foreign sector banks.

The Reserve Bank of India's database on the Indian economy is used to retrieve data over 13 years (2008–2021). Public sector (12), private sector (22) and foreign sector (44) banks are represented in the sample. Two-way ANOVA, multiple regression and panel regression statistical techniques are used in SPSS and EViews to examine the data. Further, the results are also validated by using robustness testing by applying the fully modified ordinary least square (FMOLS) and dynamic least square (DOLS) regression.

The results showed that, for private and foreign banks, the non-priority sector makes up the majority of the total gross non-performing assets, although both the priority and non-priority sectors are substantial for public sector banks. The largest contributors to the total gross non-performing assets in public, private and foreign banks are industries, agriculture and micro and small businesses. The FMOLS displays robustness results that are qualitatively similar to the baseline result.

Based on the study's findings about the patterns of non-performing assets originating from these specific industries, banks might improve the way in which these advanced loans are managed.

There has not been much research done on the subject of sub-sector-specific non-performing assets and how they affect total gross non-performing assets across the three sector banks. The study's primary focus will be on the issue of non-performing assets in the priority’s and non-priority’s sub-sectors, namely, agricultural, micro and small businesses, food credit, industries, services, retail loans and other priority and non-priority sectors.

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.

This research aims to investigate the relationship between employer branding and its antecedent organisational culture within the context of the private banking sector. The study also investigates the relationship between employer branding and employee brand equity as a consequential construct. Additionally, the mediating role of trust and the moderating role of gender in the relationship between employer branding and employee brand equity has been examined.

The present study’s findings result from data analysis collected from a sample of 454 employees working in private banks in India. The data analysis was conducted utilising the structural equation modelling technique with the assistance of analysis of moment structures (AMOS) software.

The study’s findings indicate that supportive and bureaucratic (formal) culture in private banks exhibit a significant relationship with employer branding. However, the relationship between innovative culture and employer branding was found to be insignificant. The research also reveals a significant positive association between employer branding and employee brand equity variables: brand consistent behaviour, brand endorsement and brand allegiance. Further, the study highlights the mediating role of employee trust in management in the relationship between employer branding and employee brand equity. Examining demographic variables suggests that gender moderates the relationship between employer branding and employee brand equity.

The originality of this study lies in its exploration of the critical role of organisational culture variables in shaping employer branding within the context of private banks. The findings highlight that cultivating supportive and bureaucratic cultures can effectively enhance the employer branding of private banks. The study emphasises the outcomes of employer branding initiatives, signifying that they contribute to developing brand equity among employees. This leads to long-term employee commitment and advocacy towards the organisation, as employees become brand advocates for the bank with which they are affiliated. The study contributes to a better understanding of the relationship between organisational culture, employer branding and employee brand equity, providing valuable implications for the private banking sector aiming to reinforce their employer brand and increase employee engagement.

This paper aims to investigate the role of bank reputation (via its proposed dimensions) in influencing bank trust and its subsequent effect on the loyalty of the customer. The study has also explored the moderating role of bank type (public vs private bank) in the relationship between the dimensions of bank reputation and bank trust.

A total of 651 questionnaires were distributed to the customers of public and private bank, whereas only 375 usable responses were obtained. Questionnaires were given to the respondents through the visit of few interviewers to several private and public banks in Delhi and NCR region during December 2019 to February 2020. A screening question was included in the beginning of the questionnaire (i.e. Do you trust your bank?). Non-random sampling technique was used for data collection, and the research design was cross-sectional. The proposed framework was tested with the help of structural equation modeling.

The findings of the study show that all the proposed dimensions (i.e. service quality, stability, customer centricism and corporate performance) of corporate reputation/bank reputation significantly affect bank trust. Also, the effect of bank trust on loyalty was found significant. Bank type emerged as a significant moderator between the dimensions of bank reputation and bank trust. It shows that the effect of service quality, stability, customer centricism and corporate performance on bank trust significantly differs in public vs private banks. Customer centricism is perceived to be high in private banks, whereas all the other three dimensions are obtained to be higher in public sector banks according to the findings of the study.

The presented framework in the study has covered all the significant antecedents of bank trust and its subsequent effect on loyalty. The findings of the paper are useful to several stakeholders, including bank managers, regulators, investors and depositors. The study shows that bank reputation affects trust and loyalty in the long run. This relationship can be used by bank managers for gaining the trust of customers and building loyalty. It also helps in making strategies by banks for targeting customers. Stability is a very crucial factor for a developing economy. The bank regulators can use these results for ensuring the soundness of the banking system and for providing a stable environment for customers. Bank depositors and investors can also use the findings of the study for analyzing the factors that affect their bank selection decision.

The present research shows that bank type moderates the relationship of the dimensions of bank reputation and bank trust in an emerging economy in Asia.

This article aims to investigate how institutional characteristics affect the level of financial development of economies collectively and compare between developed and undeveloped economies.

A dynamic panel with 131 countries, including developed and developing ones, was utilized; the estimators of the generalized method of moments system (GMM system) model were selected because they have econometric characteristics more suitable for analysis, providing superior statistical precision compared to traditional linear estimation methods.

The results from the full panel suggest that concrete and well-defined institutions are important for financial development, confirming previous research, with a more limited scope than the present work.

Limitations of this research include the availability of data for all countries worldwide, which would make the research broader and more complete.

A panel of countries was used, divided into developed and developing countries, to analyze the impact of institutional variables on the financial development of these countries, which is one of the differentiators of this work. Another differentiator of this research is the presentation of estimates in six different configurations, with emphasis on the GMM system model in one and two steps, allowing for comparison between results.

This current study draws a comparison between the performance indicators of public sector banks (PSBs) and private sector banks (or non-PSBs) in India. The study controls for the impact of COVID-19.

The study uses strongly balanced panel data for seven years of 12 PSBs and 10 non-PSBs from the Nifty PSU Bank Index and Nifty Private Bank Index. The study applies panel data methodology to arrive at the results.

The study demonstrates that the behavior of indicators of performance and returns volatility for PSBs and non-PSBs differs substantially. While factors like capital adequacy ratio (CAR), cost management (COST), liquidity (LIQ), inflation and economic growth exhibit a similar impact on both categories of Indian banks, the effect of credit risk (RISK), market power (POWER) and COVID-19 on performance and returns stability is different for PSBs and non-PSBs.

There is a limited sample size of banks in India.

PSBs and non-PSBs need distinct treatments when calibrating performance indicators.

The performance and stability of banks are essential for society at large, the depositors and the investors.

The study provides vibrant implications for insight for banks to calibrate the variables that determine performance and stability, regulators and policymakers for effective governance of the banking ecosystem and effective utilization of public funds and capital. The findings are relevant for policymaking today, when the government is considering the privatization of a few PSBs.

This study investigates the effect of intellectual capital (IC) and its components on the technical efficiency of Indian commercial banks after controlling the influence of bank-specific and macroeconomic variables.

The study selects a sample of 37 listed Indian commercial banks from 2005 to 2019 and uses the two-step data envelopment analysis (DEA) approach. Banks' technical efficiency scores are first estimated, while the relationship between IC and technical efficiency is examined in the second stage using the panel data Tobit model.

This study's findings suggest a fluctuating trend in the technical efficiency of Indian banks. Notably, from 2015 onwards, a declining technical efficiency trend is observed for all banks. However, private-sector banks outperform public-sector banks in terms of technical efficiency. This study's regression analysis indicates a positive relationship between IC and banks' technical efficiency scores. Further, by decomposing IC into its components like human capital, structural capital and capital employed, the study's findings show that human capital and structural capital enhance banks' technical efficiency. Notably, capital employed reduces technical efficiency. Moreover, bank size, diversification, capitalization, net interest margin and the country's growth rate significantly drive Indian banks' efficiency. In contrast, their operating cost ratio and the country's inflation negatively influence the same.

This study makes a novel endeavor to examine the IC and bank's technical efficiency nexus in the Indian context, encompassing a period of landmark banking reforms.

Sustainable development (SD) is widely acknowledged as the center around which all development efforts should revolve. Banking is a crucial component of SD, and the adoption of sustainable banking practices by various banking institutions is a powerful catalyst for its achievement. This paper aims to investigate the level of adoption of environmental, social and governance (ESG) indicators in India and the extent to which financial institutions use these strategies. In addition, the banks have been classified according to their sustainable banking performance and showing a relationship between ESG and sustainability.

An ESG framework has been developed for the Indian banking system that focuses on the behavior of banks. The evaluation of literature helps to identify the gaps in particular frameworks for analyzing sustainable banking practices in developing nations because of the variation in economic criteria between developed and developing countries. An attempt to construct a common framework for measuring the banking sector’s sustainable efforts has been done in the past. Specifically in India, where the social and environmental dimensions of sustainability are of equal importance to governance indicators, these studies fall short of providing relevant indicators. Multiple financial reports, nonfinancial reports, corporate social responsibility reports and business responsibility reports of this sector were analyzed using content analysis techniques against ESG indicators for sustainability attainment.

The result of this study shows that both the sectors are disclosing their environmental indicators more as compared to other dimensions. While the analysis says that private companies are going better than public companies in terms of disclosing their ESG indicators. As compared to the international banking sector, adoption of Global Reporting Initiatives standards, United Nations Environment Programme Financial Initiatives (UNEP FI), Green Credit Policy and Equator Principles (EP) is near to the ground in India. IDFC bank is the only entity that started implementing EP practices and Yes bank also is doing a wonderful implementation of the green policies and is the signatory to UNEP FI.

The current state of sustainable banking in India is reflected in the implementation of the proposed framework. To better integrate sustainability problems into banking, this study provides helpful information for banks and other stakeholders. In addition, this study corrects the lack of research in the Indian context on sustainable banking.

To the best of the authors’ knowledge by far, this is one of the prime studies to inspect the degree of ESG disclosure by the Indian banking sector in their sustainability report.

Nowadays, the competition is not only emerging from within the banking sector, but nonbanking companies like nonbanking financial companies (NBFCs) and FinTech are also growing in size and numbers, offering innovative financial products and services, giving a stiff competition to Indian banks. Thus, this study aims to investigate whether competition from within and outside the banking sector enhances or reduces the financial stability of the banking industry.

The study uses Herfindahl–Hirschman index to measure market share and Z score to measure financial stability. The study further examines the role of NBFCs and FinTech companies in impacting the financial stability by introducing variables like innovation, cybercrimes, systemically important institutions, etc. Thereafter, panel regression has been applied.

Empirical results show a positive relation of market share with financial stability, implying that increased competition in the Indian banking industry erodes the market power, adversely affecting the profit margins which encourages banks to take more risk and which may impact financial stability. The study shows a positive impact of innovation on financial stability which implies that the competition is acting as an enabler for banks. The authors find a negative relation of systemic important NBFCs with financial stability. The authors observe a negative association of cybercrimes with financial stability, reflecting that competition emerging from FinTech sector has exposed banks to new risks.

The policymakers should make sure that the competition of banks with other financial institutions, such as FinTech sector, remains healthy; otherwise, it can jeopardize the entire financial system. It is for the policymakers to define a boundary for FinTech sector, as the development of this sector has exposed the banking industry to new kinds of risks potential to create financial instability. The banks should do a comprehensive check on the company to which it is granting loans, and the government should amend laws. Though big banks have huge potential, consolidations can pose challenges at a macroeconomic level.

FinTech firms are a new entrant in the financial world which are providing immense competition to the banking sector, and thus radically changing the entire financial system. Therefore, it is extremely vital to study and explore the role of NBFCs and the FinTech industry as the main variable to analyze bank competition, which to the best of the authors’ knowledge is completely missing in the previous studies.