Bank Competition and its Determinants: Evidence from Indian Banking

Abstract

This paper measures the degree of bank competition in India using a sample of 70 commercial banks over the period 1996–2016. To assess the degree of competition, we estimate the market power of each bank in our sample employing three nonstructural measures: the Lerner index, the adjusted Lerner index, and the Boone indicator. Bank-wise and year-wise estimates of the marginal cost required in all these measures are obtained using the semi-parametric method. The paper further attempts to undertake a comprehensive assessment of competition in Indian banking and identifies various bank-specific, macroeconomic, structural, and contestability indicators, which are supposed to explain level and variation of the degree of competition over time. Empirical findings reveal that public-sector banks in India exercise a relatively higher degree of bank competition compared to private and foreign-sector banks. However, aggregate results support that the Indian banking system is competitive in general. Unlike the structure-conduct-performance paradigm, which advocates that a concentrated banking system impairs competitiveness, our findings reveal that concentration measures hardly exert any effect on bank competition. Rather, contestability measures play a significant role in the determination of bank competition.     

Fast Kernel Smoothing of Point Patterns on a Large Network using Two‐dimensional Convolution

We propose a computationally efficient and statistically principled method for kernel smoothing of point pattern data on a linear network. The point locations, and the network itself, are convolved with a two‐dimensional kernel and then combined into an intensity function on the network. This can be computed rapidly using the fast Fourier transform, even on large networks and for large bandwidths, and is robust against errors in network geometry. The estimator is consistent, and its statistical efficiency is only slightly suboptimal. We discuss bias, variance, asymptotics, bandwidth selection, variance estimation, relative risk estimation and adaptive smoothing. The methods are used to analyse spatially varying frequency of traffic accidents in Western Australia and the relative risk of different types of traffic accidents in Medellín, Colombia.     

An Ongoing race: family CEOs vs. non-family CEOs

International Entrepreneurship and Management Journal - Recent studies have established that non-family CEOs invariably outperform family CEOs. In this paper, we argue that the case against family...