Rivalry within strategic groups and consequences for performance: the firm‐size effects

Our study examines how, in a given industry, rivalry functions within strategic groups defined according to the size of their member firms and how this rivalry affects performance. We hypothesize that, owing to several forms of group‐level effects including market power, efficiency, differentiation, and multimarket contact, strategic groups that comprise smaller firms will exhibit both increased rivalry and decreased performance compared with strategic groups that comprise larger firms. We test our hypotheses by estimating the effect of group‐level strategic interactions (i.e., conjectural variations) on firm performance. Ultimately, our analysis of empirical data on loans in the Spanish banking industry demonstrates that increased rivalry and decreased performance indeed characterizes firms belonging to a strategic group that comprises smaller firms. Copyright © 2011 John Wiley & Sons, Ltd.     

Bootstrapping Financial Time Series

It is well known that time series of returns are characterized by volatility clustering and excess kurtosis. Therefore, when modelling the dynamic behavior of returns, inference and prediction methods, based on independent and/or Gaussian observations may be inadequate. As bootstrap methods are not, in general, based on any particular assumption on the distribution of the data, they are well suited for the analysis of returns. This paper reviews the application of bootstrap procedures for inference and prediction of financial time series. In relation to inference, bootstrap techniques have been applied to obtain the sample distribution of statistics for testing, for example, autoregressive dynamics in the conditional mean and variance, unit roots in the mean, fractional integration in volatility and the predictive ability of technical trading rules. On the other hand, bootstrap procedures have been used to estimate the distribution of returns which is of interest, for example, for Value at Risk (VaR) models or for prediction purposes. Although the application of bootstrap techniques to the empirical analysis of financial time series is very broad, there are few analytical results on the statistical properties of these techniques when applied to heteroscedastic time series. Furthermore, there are quite a few papers where the bootstrap procedures used are not adequate.     

Discretion vs. timeless perspective under model-consistent stabilization objectives

Recent literature has reported situations in which discretion dominates timeless perspective in the presence of elements that reduce the slope of the New Keynesian Phillips curve. Considering a model-consistent welfare metric inhibits this mechanism in the standard New Keynesian framework.     

The Role of Identity Salience in the Effects of Corporate Social Responsibility on Consumer Behavior

Based on the assumption that consumers will reward firms for their support of social programs, many organizations have adopted corporate social responsibility (CSR) practices. Drawing on social identity theory, a model of influence of CSR on loyalty is developed and tested using a sample of real consumers. Results demonstrate that CSR initiatives are linked to stronger loyalty both because the consumer develops a more positive company evaluation, and because one identifies more strongly with the company. Moreover, identity salience is shown to play a crucial role in the influence of CSR initiatives on consumer loyalty when this influence occurs through consumer-company identification. A strong identifier is not necessarily in a constant state of salience, but activating identity salience of a particular consumer social identity (a company) will affect consumer reactions to product stimuli, increasing consumer loyalty.     

Optimal portfolios with minimum capital requirements

We propose a novel approach to active risk management based on the recent Basel II regulations to obtain optimal portfolios with minimum capital requirements. In order to avoid regulatory penalties due to an excessive number of Value-at-Risk (VaR) violations, capital requirements are minimized subject to a given number of violations over the previous trading year. Capital requirements are based on the recent Basel II amendments to account for the ‘stressed’ VaR, that is, the downside risk of the portfolio under extreme adverse market conditions. An empirical application for two portfolios involving different types of assets and alternative stress scenarios demonstrates that the proposed approach delivers an improved balance between capital requirement levels and the number of VaR exceedances. Furthermore, the risk-adjusted performance of the proposed approach is superior to that of minimum-VaR and minimum-stressed VaR portfolios.