There is a generalized conviction that variation in dividend yields is exclusively related to expected returns and not to expected dividend growth - e.g. Cochrane's presidential address (Cochrane (2011)). We show that this pattern, although valid for the aggregate stock market, is not true for...

Using Internet search volume of dividend-related keywords to measure investor preference for dividends that varies over time and across states, we show that dividend sentiment affects corporate policies and asset prices. Investors search more for dividends when economic conditions are poor, with...

Our research on data for the S&P 500 ETF from 1993-2013 documents an intraday momentum pattern: the first half-hour return on the market (from the previous day's close) predicts the last half-hour return. The predictability, both statistically and economically significant, is stronger on more...

This paper examines whether tone (positive and negative) and volume of firm-specific news media content provide valuable information about future stock returns, using UK news media data from 1981-2010. The results indicate that both tone and volume of news media content significantly predict...

We extend Merton’s 1976 asset return analysis which relied on intraday trade data to estimate volatility by introducing drift estimation and equity premium dynamics leading to predictability of short run daily returns under appropriate conditions. We find empirical support for the...

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...

Which market has leading informational advantage: stocks or options? Using large set of stock and option characteristics, and machine learning, we provide a comprehensive analysis of which characteristics are the first order importance predictors of options and stock returns. First, we find that...

This paper examines whether tone (positive and negative) and volume of firm-specific news media content provide valuable information about future stock returns, using UK news media data from 1981–2010. The results indicate that both tone and volume of news media content significantly predict...

This paper finds evidence that stock returns vary with the physical climate change exposure of firms in a predictable manner. We construct measures of exposures to physical climate changes at the firm level, and find that firms with high climate change exposures experience lower future...

We use data on signed option volume to study which components of option volume predict stock returns and resolve the seemingly inconsistent results in the literature. We find no evidence that trades related to synthetic short positions in the underlying stocks contain more information than...