The computation of implied cost of capital (ICC) is constrained by the lack of analyst forecasts for half of all firms. Hou, van Dijk, and Zhang (2012, HVZ) present a cross-sectional model to generate forecasts in order to compute ICC. However, the forecasts from the HVZ model perform worse than...

This study provides empirical evidence for the efficacy of deriving firms' earnings forecasts from predictions of the complete, conditional probability density function (pdf). Relative to cross-sectional earnings forecasts based on OLS regressions, improvements of accuracy, bias and measures for...

The computation of implied cost of capital (ICC) is constrained by the lack of analyst forecasts for half of all firms. Hou, van Dijk, and Zhang (2012, HVZ) present a cross-sectional model to generate forecasts in order to compute ICC. However, the forecasts from the HVZ model perform worse than...

The study aims at simulating and forecasting a company's stock returns and prices by a fundamentalist analysis process based on a Vector Error Correction with Exogenous Variables (VECX) econometric model. To achieve this, we selected relevant fundamentalist indicators and specified a model...

We analyze three different mechanical models to forecast earnings and compare their forecasts with those of analysts. Moreover, we evaluate implied cost of capital (ICC) estimates that are based on these forecasts. With our analyses we answer three open questions in the literature. 1) Do model...

Predicted stock issuers (PSIs) are firms with expected “high-investment and low-profit” (HILP) profiles that earn unusually low returns. We carefully document important features of PSI firms to provide insights on the economic mechanism behind the HILP phenomenon. Top-PSI firms are...

This paper revisits two valuation models based on accounting figures: the Residual Income Valuation (RIV) and Abnormal Earnings Growth (AEG). Our research design has two approaches: i) we demonstrate theoretical integration of both models; and ii) we show in a practical manner that models...

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'...

We develop a measure of how information events impact investors' perceptions of risk that is broadly applicable and simple to implement. We derive this measure from an option-pricing model where investors anticipate an announcement that simultaneously conveys information on the announcer's...

We substantially improve cross-sectional earnings forecast models, such as Hou, van Dijk, and Zhang (2012), by enriching their information sets by an interim earnings growth measure extracted from quarterly reports. This yields significantly more accurate out-of-sample earnings forecasts and...