We compare several representative sophisticated model averaging and variable selection techniques of forecasting stock returns. When estimated traditionally, our results confirm that the simple combination of individual predictors is superior. However, sophisticated models improve dramatically...

This paper investigates the relationships among cross-sectional stock returns and analysts' forecast revisions, forecast dispersion and momentum. Market rewards the strategy in pursuit of revision up and away from revision down by 22.7% per annum over the 1983-2015 periods. I find that the...

Using trader-resolved data, we document lead-lag relationships between groups of investors in the foreign exchange market. Because these relationships are systematic and persistent, order flow is predictable from trader-resolved order flow. We thus propose a generic method to exploit trader...

You're probably familiar, at least in passing, with the 'convexity' of long-term bonds - i.e. that yields dropping 1% produce a bigger price move than yields rising 1%. A significant amount of brainpower has gone into understanding all the ramifications of this convexity in the fixed income...

Using a large hand-collected dataset, we provide novel evidence on the additional information embedded in the designs and graphs of financial reports. We find that firms that add graphic financial reports experience a positive 2.7% abnormal returns in the following 3 to 6 months. The finding...

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...

We investigate the causal impacts of air pollution on analyst forecast accuracy around earnings announcements. Using the air quality index in analyst workplaces, we provide direct evidence of the following. First, air pollution significantly reduces analysts' earnings forecast accuracy in...

This paper explores an unexamined sentiment channel through which technical analysis can add value. We use a spectrum of technical trading strategies to build a daily market sentiment indicator that is highly correlated with other commonly used sentiment measures. This technical-analysis-based...

Unlike previous studies which have examined the role of financial analysts in developed economies, the aim of this paper is to investigate whether following the Tunisian stock market opening, both the analyst forecast accuracy and the market’s reliance on analyst forecasts, increase with time....

We review the literature on recurring firm events and predictable returns. Many common firm events recur on a predictable basis, such as earnings and dividends, among others. These events tend to be associated with large positive returns in the period when those events are predicted to occur...