Using firm level data from India, we examine the impact of ownership concentration on post-M&A performance of firms. Our analysis has implications for both the M&A literature, which emphasises the role of agency conflict between managers and owners of widely held companies as a key reason for M&A failures, and the corporate governance literature, especially in the context of emerging market economies. A cautious interpretation of our results suggests that while ownership concentration may reduce the manager–owner agency conflict, it may nevertheless precipitate other forms of agency conflict such that ownership concentration may not necessarily improve post-M&A performance. In particular, our results have implications for the literature on the agency conflict between large (or majority) shareholders and small (or minority) shareholders of a company, especially in contexts such as emerging market economies where corporate governance quality is weak.

Using bank-level data from India, we examine the impact of ownership on the reaction of banks to monetary policy, and also test whether the reaction of different types of banks to monetary policy changes is different in easy and tight policy regimes. Our results suggest that there are considerable differences in the reactions of different types of banks to monetary policy initiatives of the central bank, and that the bank lending channel of monetary policy is likely to be much more effective in a tight money period than in an easy money period. We also find differences in impact of monetary policy changes on less risky short-term and more risky medium-term lending. We discuss the policy implications of the findings.

We propose the use of stochastic frontier approach to modelling financial constraints of firms. The main advantage of the stochastic frontier approach over the stylised approaches that use pooled OLS or fixed effects panel regression models is that we can not only decide whether or not the average firm is financially constrained, but also estimate a measure of the degree of the constraint for each firm and for each time period, and also the marginal impact of firm characteristics on this measure. We then apply the stochastic frontier approach to a panel of Indian manufacturing firms, for the 1997–2006 period. In our application, we highlight and discuss the aforementioned advantages, while also demonstrating that the stochastic frontier approach generates regression estimates that are consistent with the stylised intuition found in the literature on financial constraint and the wider literature on the Indian credit/capital market.