This study focuses on assessing the role of various bank-specific, industry-specific and macroeconomic determinants in Indian commercial banks performance. Performance of the Indian banks has been measured by Return on Assets (ROA), Return on Equity (ROE) and Net Interest Margin (NIM) and Pre-provision profit ratio. The study analyses impact of various bank-specific factors like bank size, capital ratio, risk, cost to income ratio, funding cost, revenue diversification, labour productivity and bank age on bank performance. It also tries to assess the relationship between various bank-specific and industry-specific variables like bank concentration, inflation rate and GDP growth rate with bank performance. Fixed effects estimation model and Generalized Method of Moments (GMM) have been used on a panel data of 19 years for 64 commercial banks of India. The findings reveal that private sector banks are more profitable than the public sector banks. Additionally, the results of the study show that bank size, non-performing loan ratio and revenue diversification are the major determinants of the commercial banks performance in India. Furthermore, the results reveal that during the crisis period the impact of bank size, bank age, labour productivity and revenue diversification on the performance of the Indian banks is robust. The higher non-government stake leads to the enhanced performance of the commercial banks in India. The higher capital adequacy leads to the increase in the performance of the banks. The larger banks are less profitable. The results provide better insights about the determinants of Indian banks profitability.

This study examines the impact of financial development on corporate investment in terms of their influence on financing constraints. This study also tries to find the effect of financial development on the investment-cash flow sensitivity across the size, degree of financial constraints and group affiliation of the firm. This study employs dynamic panel data model or more specifically system generalized method of moments (GMM) estimation technique. The estimation results reveal that cash flow affects the investment decision of the company positively, which implies that Indian firms are financially constrained. Also, we observe that financial development reduces the investment-cash flow sensitivity and the effect of financial development is more prominent for small size and standalone firms. The results are robust across the period and, for both financially constrained and unconstrained firms. This study contributes to the existing literature by analyzing the impact of financial development on the role of cash flow in determining investments undertaken by the Indian firms, which is an unexplored issue from an emerging market perspective.

Purpose: The purpose of this study is to examine the impact of financial and technical education of chief executive officer (CEO) on investment–cash flow sensitivity (ICFS) of Indian manufacturing firms.Design/methodology/approach: The study uses the dynamic panel data model and more specifically, the system-generalized method of moments (GMM) technique to investigate the effect of CEOs' education on ICFS of Indian manufacturing firms during the period 1998–1999 to 2016–2017.Findings: The study shows that financial (technical) education of CEOs does (not) affect ICFS. The results explain that the role of the CEO's education in ICFS is highly significant during the crisis period. The robustness test depicts that the influence of financial education on ICFS is less (more) for group-affiliated and large-sized firms (stand-alone and small-sized firms). Further, the CEO's education is significantly associated with corporate investment decisions.Research limitations/implications: Due to the unavailability of the CEO's compensation data for the selected sample, future research could explore the impact of CEO's education with respect to CEO's compensation on ICFS.Practical implications: First, the authors find that financially educated CEOs affect ICFS; therefore, firms should take care of CEO's education during recruitment of CEOs. Second, lending agencies should also consider the educational background of the CEO before approval of funding to make it safe. Third, investors should keep in mind the educational background of the CEO for the growth of their investment as it may be easier for financially educated CEOs to borrow from the market at the time of requirement.Originality/value: This study contributes to the existing literature by providing empirical evidence through analyzing the impact of a CEO's education on ICFS in the context of India. This study is very unique in itself as it uses the sample of manufacturing sectors of India, which are growing very fast and attracting global investors to create a global hub of manufacturing in India. This study also considers different types of education such as financial and technical education of CEOs in the context of a developing economy like India. This study made its findings robust across company characteristics and periods based on the financial crisis.

Purpose: This study aims to examine the relationship between economic policy uncertainty and stock market liquidity in an order-driven emerging stock market. Design/methodology/approach: Empirical estimates are based on vector autoregressive Granger-causality tests, impulse response functions and variance decomposition analysis. Findings: The empirical findings suggest that economic policy uncertainty moderately influences stock market liquidity during normal market conditions. However, the role of economic policy uncertainty for determining stock market liquidity is significant in times of financial crises. The authors have also observed a significant portion of variation in stock market liquidity that is attributed to investor sentiments during financial crises. Originality/value: This study is original in nature and provides evidence to consider economic policy uncertainty as a possible source of commonality in liquidity in the context of an emerging market.