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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.

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.

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.

This paper aims to investigate the effects of cost, revenue and profit efficiency on bank profitability in an emerging economy such as India over the period 1997 to 2017. Additionally, this study examines the effect of efficiency on profitability across different ownership groups for a panel of 70 Indian commercial banks.

In the first stage, using stochastic frontier analysis, we estimate the efficiency scores of cost, revenue and profit over the examined period. In the second stage, this study uses the two-step system generalized-method of moments dynamic panel approach to investigate the impact of several efficiency measures on bank profitability.

Results estimated through and system generalized-method of moments indicate that a higher level of cost, revenue and efficiency significantly improves India's bank profitability. Regarding ownership groups, this study finds that the public sector banks are most cost-efficient compared to private and foreign banks. Other bank-specific, macroeconomic and institutional variables have played a significant role in determining bank profitability.

The findings of the study extend some important policy implications. In light of the rapid decline in bank profitability, banks should focus on increasing the efficiency of their operations. Improvement in profit, cost and revenue efficiency can ameliorate bank performance significantly. Profit efficiency that takes into account both cost and revenue efficiency should be maintained reasonably to prevent the declining pattern of bank profitability that the industry has witnessed over the years.

To the best of the author's knowledge, this study is a fresh piece of research that fulfils an urgent need of investigating the dynamics between bank efficiency and bank profitability in India. In an emerging economy like India, where the banking sector has witnessed substantial structural transformations over the past two decades, such study demands an immediate empirical investigation.

The study aims to estimate the impact of the vigilant board independence (BIND) dimension that potentially neutralises the unfair influence of chief executive officer duality (CEODU) on Indian public banks' performance.

The study takes into account the fixed-effects model to investigate the potential moderating effect of BIND in the relationship between CEODU and Indian bank performance. The econometric model is also robust against heteroscedasticity, serial correlation and cross-section dependence issues to ensure that the model is free from such biases. The study also addresses the major issue of endogeneity via vector autoregression and performs the analysis by considering one period lag of the explanatory variables.

The findings demonstrate that CEODU does not always lead to a negative outcome on the performance until or unless the board is monitored by the effective presence of outside directors.

The regulatory bodies consider the results to strengthen board capital where CEODU can benefit a business entity if vigilance BIND is present at or above a threshold point.

The study evaluated an under-researched role of BIND as a moderator that undermines the negative influence of CEODU on the performance of Indian banks. The study also establishes that the CEO's contribution to performance increases when the number of outside directors is at or above a certain threshold.

Purpose: This chapter discusses the role and use of chatbots adopted by the different categories of banks (private and public sector banks) in India. The chapter presents brief essential services offered by Indian chatbots regarding accuracy, technology providers and virtual assistance, ways to connect, etc. This chapter concluded that most of the questions answered by the Indian chatbots are already available on the banks’ websites, and there is a need for enhancement in the capabilities of Indian chatbots.

Need for the Study: The need for the study is based on the working of banking chatbots, customer query handling, and the efficiency of the chatbots in India. The chapter helps to analyze the services offered by various banks.

Methodology: This chapter is based on secondary data collected from banks’ websites and articles from various journals. The study is based on nine banks (both private and public sectors) those are having working chatbots (SBI, HDFC Bank, ICICI Bank, Yes Bank, IndusInd Bank, Kotak Mahindra Bank, Axis Bank, Andhra Bank, Bank of Baroda). The present study is focused on chatbots, their services, and software applications for various customer-handling capacities.

Findings: The research concluded that Indian banks are investing a small amount in using chatbots, yet Indian chatbots are deficient regarding far too provincial administrations as they are adequate just for standard and basic inquiries. Also, Indian customers are not properly aware of chatbots and virtual assistance.

Practical Implications: This study provides an overview of the working chatbots in India (for both public and private sector banks) and their functions, as well as the capacities of these chatbots. The previous conducted studies are based on the uses, importance, and working of chatbots/artificial intelligence (AI) in banking. In this study, after discussing the different services, it is found that Indian banks need to update their AI/Virtual assistance with more features.

The present study assesses the commercial bank profit efficiency and its relationship to banking sector competition in a rapidly growing emerging economy, India from 2009 to 2019 using stochastic frontier analysis (SFA).

Lerner indices, conventional and efficiency-adjusted, quantify competition. Two SFA models are employed to calculate alternative profit efficiency (inefficiency) scores: the two-step time-decay approach proposed by Battese and Coelli (1992) and the recently developed single-step pairwise difference estimator (PDE) by Belotti and Ilardi (2018). In the first step of the BC92 framework, profit inefficiency is calculated, and in the second step, Tobit and Fractional Regression Model (FRM) are utilized to evaluate profit inefficiency correlates. PDE concurrently solves the frontier and inefficiency equations using the maximum likelihood process.

The results suggest that foreign banks are less profit efficient than domestic equivalents, supporting the “home-field advantage” hypothesis in India. Further, increasing competition drives bank managers to make riskier lending and investment choices, decreasing bank profit efficiency. However, this effect varies depending on bank ownership and size.

Literature on the competition bank efficiency link is conspicuously scant, with a focus on technical and cost efficiency. Less is known regarding the influence of competition on bank profit efficiency. The article is one of the first to examine commercial bank profit efficiency and its relationship to banking sector competition. Additionally, the study work represents one of the first applications of the FRM presented by Papke and Wooldridge (1996) and the PDE provided by Belotti and Ilardi (2018).

This paper aims to evaluate whether promoter holding influences a bank’s liquidity in India’s leading emerging market. Furthermore, it also evaluates the moderating role of risk-weighted assets (RWA) on the relationship between promoter holding and liquidity.

The data consists of 24 banks for the period of 12 years from 2010 to 2021. Static panel data is used to analyze the relationship between the liquidity coverage ratio (LCR) as the dependent variable, the promoter used as an explanatory variable and RWA used as a moderating variable in this study.

This study concludes that an increase in promoter holding helps to improve the liquidity of Indian banks. Moreover, it also shows that using RWA as a moderating term enhances the relationship between promoter holdings and Indian banks’ liquidity.

This study evaluated the impact of promoter ownership solely on the LCR, a statistic used to measure the short-term liquidity of banks in the Indian setting. Additional corporate governance factors, such as the makeup of the board of directors, relevant ownership concentration factors and external factors with the potential to affect the liquidity position of banks, could potentially be the subject of future investigations.

This paper has both managerial and policy-level implications. It shows that it is advantageous for banks’ ownership composition to include more enormous promoter holdings to enhance banks’ liquidity. Policymakers can, thus, formulate policies to encourage banks to have more extensive promoter holdings.

The impact of promoter ownership on bank liquidity has not been evaluated in earlier research projects. Furthermore, the use of RWA as a moderating variable to determine this link has not been fully investigated, particularly in the context of a developing country like India.

Sustainable strategic management (SSM) is an integrated concept that entails sustainability in the approaches and processes of strategic management. Banking being a rapidly growing industry in service sector, it is reasonably important to study the SSM and its integrated performance. This paper aims to study the sustainable-strategic (SS) factors of Indian banks that affects their endurance and prioritizes the banks based on their sustainable and strategic performance.

This study appertains a sustainable balanced scorecard (SBSC) framework to determine the SS factors and an integrated multicriteria decision making (MCDM) method to weigh the criteria and prioritize the banks' performance.

The criterion weightage signifies sustainability, followed by financial and internal business perspective to be a crucial dimension for the performance of banks. The banks, State Bank of India, HDFC Bank Ltd and Canara Bank are ranked top-most on the SS performance.

The insights from the study on SS factors and banks' performance can be further used by policy-makers and researchers to understand the sustainability assessing factors and focus on making policies and further studies to enhance the performance in this regard.

Banking is one of the potentially growing industry in service sector. It being a major part of economy's sustainable growth, it is essential to assess the SS factors that enhance their sustainable performance. There is dearth of study in this purview, for developing countries like India. Thus, this study critically analyses the strategic sustainability of Indian banking industry to ascertain the SS factors and prioritize the performance of banks based on criterion weightage and bank's SS operations.

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.