Purpose – In recent years, equity premiums have been unusually large and efforts to forecast them have been largely unsuccessful. This paper presents evidence suggesting that artificial neural networks (ANNs) outperform traditional statistical methods and can forecast equity premiums...

Purpose – In recent years, equity premiums have been unusually large and efforts to forecast them have been largely unsuccessful. This paper presents evidence suggesting that artificial neural networks (ANNs) outperform traditional statistical methods and can forecast equity premiums...

Purpose – The purpose of this paper is to describe a study which examined the effects of underwriter reputation market segments on the value relevance of firm specific risk measures in the pricing of initial public offerings (IPOs). Design/methodology/approach – The study abandons the notion...

Purpose – The purpose of this paper is to show the applicability of data envelopment analysis (DEA) in arriving at an unbiased account of relative performance in a set of companies, using the pharmaceutical industry as an example. Design/methodology/approach – A DEA-based income efficiency...

Purpose – The purpose of this paper is to describe a study which examined the effects of underwriter reputation market segments on the value relevance of firm specific risk measures in the pricing of initial public offerings (IPOs). Design/methodology/approach – The study abandons the notion...

Purpose – The purpose of this paper is to show the applicability of data envelopment analysis (DEA) in arriving at an unbiased account of relative performance in a set of companies, using the pharmaceutical industry as an example. Design/methodology/approach – A DEA‐based income efficiency...

Corporate finance studies of mergers and acquisitions have relied mostly on stock price reactions to evaluate the impact of these events. In this paper, we analyze the performance of a sample of merged firms over a ten year period using a managerially controlled efficiency measure, data...