The explanatory power of earnings for stock returns

Abstract

SYNOPSIS AND INTRODUCTION: In a thorough review of marketbased research on the information content of accounting earnings, Lev (1989) concludes that the explanatory value of earnings for stock returns, and therefore the usefulness of earnings disclosures, tends to be embarrassingly low. A number of nonmutually exclusive explanations have been advanced for these disappointing results, including: (1) poor specification of the estimating equation, such as a failure to allow for cross-sectional variation in the regression parameters; (2) inappropriate choice of the assumed proxy for expected earnings; (3) the availability of more timely sources of the value-relevant information in earnings statements (Beaver et al. 1980); and (4) poor informational properties (quality) of reported earnings because of biases induced by accounting measurement practices or creative abuses of the earnings measurement process. Lev (1989) speculated that the last of these explanations was the most likely cause of the poor statistical performance consistently found in returns-earnings research. In contrast, the present study shows that a considerable improvement in statistical performance can be achieved by working with a more general specification of the returns-earnings relation. Lev's article has resulted in serious questioning of the contribution of market-based research, but we believe that the present study provides grounds for a more positive assessment. We use a panel regression approach to examine the association between annual stock price returns and reported earnings figures of industrial companies in the United Kingdom. We combine several recent advances in