We evaluate the influence of measurement error in analysts' forecasts on the accuracy of implied cost of capital estimates from various implementations of the ‘implied cost of capital' approach, and develop corrections for the measurement error. We document predictable error in the implied...

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...

We propose a novel method to forecast corporate earnings, which combines the accuracy of analysts' forecasts with the unbiasedness of a cross-sectional model. We build on recent insights from the earnings forecasts literature to improve analysts' forecasts in two ways: reducing their...

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...

Presentation Slides for "Overconfidence, Arbitrage, and Equilibrium Asset Pricing" This paper offers a model in which asset prices reflect both covariance risk and misperceptions of firmsapos prospects, and in which arbitrageurs trade against mispricing. In equilibrium, expected returns are...

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...

We document an improvement in analysts’ forecast accuracy following increased sector ETF ownership. We identify a possible channel for this result, i.e., because ETFs are more informative with respect to industry-level information, analysts learn directly and efficiently from ETFs about this...

This paper reviews research that uses big data and/or machine learning methods to provide insight relevant for equity valuation. Given the huge volume of research in this area, the review focuses on studies that either use or inform on accounting variables. The article concludes by providing...