This paper examines whether there exists a momentum effect after one-day abnormal returns in the cryptocurrency market. For this purpose a number of hypotheses of interest are tested for the BitCoin, Ethereum and LiteCoin exchange rates vis-à-vis the US dollar over the period...

We find that investor attention proxies proposed in the literature collectively have a common component that has significant power in predicting stock market risk premium, both in-sample and out-of-sample. This common component is well extracted by using partial least squares, scaled principal...

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...

This paper uses the volatility surface data from options contracts to document a strong, robust, and positive cross-sectional relation between risk-neutral skewness (RNS) and subsequent stock returns. The differential return between high and low RNS stocks amounts to 0.17% per week....

This paper documents a significantly negative cross-sectional relation between left-tail risk and future returns on individual stocks trading in the U.S. and international countries. We provide a behavioral explanation to this anomaly based on the idea that investors underestimate the...

We develop a model with informationally heterogeneous investors to explain return predictability on and after earnings announcements. We find evidence for the model's key predictions: (1) Announcement returns are on average positive even though earnings surprises are mean-zero; (2) Firms with...

This paper studies the long-run risk embedded in the news about future investment-specific technology (IST). The IST news shock, which reflects future technological improvements in the production of investment goods such as computers, machines, and equipment, causes persistent future consumption...

We explore analysts' earnings forecast data to improve upon one popular disagreement measure — the analyst forecast dispersion measure — proposed by Diether, Malloy, and Scherbina (2002). Our analysis suggests that changes in the standard deviations of forecasted earnings can work as a...

Prior research has shown that information diffuses gradually across stocks that are economically linked at the industry level. I document a similar pattern when stock portfolios are formed based on characteristics that are used in the anomaly literature (e.g., size, value, asset growth)....

This paper investigates how stock-specific and market-wide news sentiments, obtained from Thomson Reuters News Analytics, affect abnormal returns of S&P 500 stocks. It is well-known that the relationships between the stock-specific news sentiment and raw stock returns are rather weak. This can...