This study documents simple trading strategies that predict stock returns using the sentiment information of labor market related news articles. I identify the average sentiment scores of labor market related news articles of each firm daily and use them to predict stock returns. Unlike the...

We examine whether real-time return forecasts are valuable to an investor looking to allocate their portfolio across a wide selection of countries. We expand the Sum-of-Parts (SoP) method for forecasting stock returns to an international setup by adding FX returns as an additional component. We...

Most capital market forecasts for the year ahead tend to be narrow consensus extrapolations of broad trends and historic data, in which analysts look in particular at the last 12 months, especially in a rising market, and assume, as a baseline, that a similar outcome will recur in the next 12...

We review the literature on return and cash flow growth predictability form the perspective of the present-value identity. We focus predominantly on recent work. Our emphasis is on U.S. aggregate stock return predictability, but we also discuss evidence from other asset classes and countries

We create a market-wide measure of dispersion in options investors' expectations by aggregating across all stocks the dispersion in trading volume across moneynesses (DISP). DISP exhibits strong negative predictive power for future market returns and its information content is not subsumed by...

Why is an inverted yield-curve slope such a powerful predictor of future recessions? We show that a decomposition of the yield curve slope into its expectations and risk premia components helps disentangle the channels that connect fluctuations in Treasury rates and the future state of the...

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...

Using a novel equity lending dataset, this paper is the first to show that expected returns strongly and negatively predict future equity lending fees. In comparing two expected return measures, I find that a rational expected return has stronger predictive power of future short selling activity...