Analysts cover portfolios of firms. Firms in these analyst portfolios are thus in principle subject to common (integrated) production of information. Nonetheless, this paper documents significant stock return and forecast revision predictability across firms with common analyst coverage. Prices...

Using data for three publicly quoted firms, all of whom operate within the upstream oil industry, this study provides evidence for feasibility of incidence of contradictions (`contradictions of ranking') between a ranking of fundamental valuations, and corresponding ranking of market valuations....

In this paper, we forecast industry returns out-of-sample using the cross-section of book-to-market ratios and investigate whether investors can exploit this predictability in portfolio allocation. Cash-flow and return forecasting regressions show that cross-industry book-to-market ratios...

We integrate fundamental analysis with mean-variance portfolio optimization to form fully optimized fundamental portfolios. We find that fully optimized fundamental portfolios produce large out-of-sample factor alphas with high Sharpe ratios. They substantially outperform equal-weighted and...

Purpose: In this paper we try to explain US stock market variations and cash flow fundamentals by employing three different book-valued based ratios, First, we explore the explanatory capacity of the simple book-market ratio on time-varying expected returns, and procced on altering its...

We examine how the accuracy of a multiples-based valuation changes as the number of comparable firms used to estimate the valuation multiple increases. Our research is motivated by a contrast between the approach followed by practitioners, who typically use a small number of closely comparable...

We provide first empirical evidence of the long-term realized performance of alternative beta strategies. Despite diversified risk premia portfolios achieving satisfactory Sharpe ratios of 0.80 – 1.07 over the past decade, we show that up to two thirds of the performance can be explained by...

We present a two-stage model for the decision making process of financial analysts when issuing earnings forecasts. In the first stage, financial analysts perform a fundamental analysis in which they are prone to a behavioral bias. In the second stage analysts can distort their earnings...

We present a two-stage model for the decision making process of financial analysts when issuing earnings forecasts. In the first stage, financial analysts perform a fundamental earnings analysis in which they are, potentially, subject to a behavioral bias. In the second stage analysts can adjust...

We present a two-stage model for the decision making process of financial analysts when issuing earnings forecasts. In the first stage, financial analysts perform a fundamental earnings analysis in which they are, potentially, subject to a behavioral bias. In the second stage analysts can adjust...