Short rebate fees are a strong predictor of the cross-section of stock returns, both gross and net of fees. We document a large "shorting premium": the cheap-minus-expensive-to-short (CME) portfolio of stocks has a monthly average gross return of 1.31%, a net-of-fees return of 0.78%, and a 1.44%...

I investigate whether the relation between investor sentiment and profitable trading strategies is due to short sale constraints. I find that the average security in these strategies is not hard-to-short. Furthermore, the short leg does not appear to be harder to short or more overvalued than...

We merge the literature on downside return risk and liquidity risk and introduce the concept of extreme downside liquidity (EDL) risks. The cross-section of stock returns reflects a premium if a stock's return (liquidity) is lowest at the same time when the market liquidity (return) is lowest....

Revisions of consensus forecasts of macroeconomic variables positively predict announcement day forecast errors, whereas stock market returns on forecast revision days negatively predict announcement day returns. A dynamic noisy rational expectations model with periodic macroeconomic...

Using comprehensive patent lawsuit data from 2000 to 2014, we find that a stock portfolio consisting of firms involved in patent lawsuits provides significantly positive stock returns (between 0.56% to 1.02% per month) in the following year. We propose and examine several possible explanations...

Prior studies show that investor learning about earnings-based return predictors from academic research erodes return predictability. However, the signaling power of “bottom-line” earnings has declined over time, which complicates assessments of investor learning about profitability signals...

We examine price impacts from dividend flows. Event study estimates show that stocks experience abnormal returns on the dividend distribution day. Results also show a spillover effect to non-dividend-paying stocks that are likely to be part of the same benchmark portfolio as the dividend-paying...

This paper investigates the out-of-sample predictability of monthly market as well as size, value, and momentum premiums. We use a sample from each of the US and the Swiss stock markets between 1989 and 2007. Using the Swiss sample provides an important new perspective as the repeated evaluation...

We develop a four-factor model intended to capture size, value, and credit rating transition patterns in excess returns for a panel of predominantly mid- and large-cap entities. Using credit transition matrices and rating histories from 48 US issuers, we provide evidence to support a...

Individual environmental variables may contain information that is obscured in aggregate environmental scores when forecasting future stock returns. We apply machinelearning methods to granular environmental variables and show that a long-short portfolio that longs stocks with high forecasted...