Management by the Numbers: A Formal Approach to Deriving Informational and Distributional Properties of “Unmanaged” Earnings

Abstract

We explore the theoretical relation between earnings and market returns as well as the properties of earnings frequency distributions under the assumption that managers use unbiased accounting information to sequentially decide on real options their firms have and report generated earnings truthfully, with the market pricing the firm based on those reported earnings. We generate benchmarks against which empirically observed earnings-returns relations and aggregate earnings distributions can be evaluated. This parsimonious model shows a coherent set of results: reported losses are less persistent than reported gains, decision making diminishes the S-shaped market response to earnings and earnings relate to returns asymmetrically in the way documented by Basu [1997]. Furthermore, the implied frequency distribution of aggregate earnings is neither symmetric nor necessarily single-peaked. Instead, it may exhibit a kink at zero and look similar to the plots reported by Burgstahler and Dichev [1997]. However, within our model, none of these phenomena are due to reporting noise, bias, or some undesirable strategic managerial behavior. They are the natural consequences of using past earnings as the basis for value increasing managerial decision making that in turn generates the future earnings on which future decisions will be based.