Using a value-weighted rather than an equally weighted regression, Easton and Sommers (2007) show that the upward bias in the risk premium implied by analysts' earnings forecasts falls to 1.6%, but remains statistically and economically significant. In this paper, we argue that any estimation of...

We develop a model based on the notion that prices lead earnings, allowing for a simultaneous estimation of the implied growth rate and the cost of equity capital for US industrial sectors. The major difference between our approach and that in prior literature is that ours avoids the necessity...

This paper compares and contrasts two accounting information systems, the aggregate earnings system and the disaggregated cash flow/accrual system, examining their relative performance in stock valuation and in forecasting of earnings. It finds, in general, that the forecasts of earnings and...

Existing accounting-based forecasting models of earnings either do not fully consider information that is contained in stock prices or use an ad hoc specification that is not based on rigorous valuation theory. In this paper, we develop an earnings forecasting model built on the theoretical...

In this paper, we employ the earnings model developed in Ashton and Wang (2013) to forecast the one- to three-year ahead earnings of individual companies. We find that the model produces forecasts of future earnings that are less biased and more informative than both the consensus analysts'...