This paper studies the effect of investor sentiment on stock returns in three Central European markets: the Czech Republic, Hungary and Poland. The results show that sentiment is a key variable in the prices of stocks traded on these markets and its impact is stronger here than in more developed...

Do more active hedge fund managing strategies generate higher returns than the less active ones? We develop a novel approach to measuring activeness for hedge funds by estimating the dynamics of risk exposure of a large sample of live and dead equity long-short funds. We find that higher...

Using the monthly data for more than 1700 Australian stocks over the period from 1990 to 2009, we investigate whether industry portfolio returns predict the aggregate market. We find that a few industries significantly lead the market even controlling for well-recognized market predictors....

This paper shed light to the existence of momentum and reversal patterns in the 18 industry indexes of DJ Euro Stoxx. The analysis is focus on European market and test a presence structural break in year 2000 (financial services and markets act). We made an analysis of five portfolios over eight...

Standard deviations of the volatility premium, of implied volatility innovations, and of the volatility term structure spread in equity options help explain the cross-section of one-month-ahead underlying stock returns. The explanatory power from standard deviations is robust to the levels of...

Using survey data on expectations of future stock returns, we recursively estimate the degree of extrapolative weighting in investors' beliefs (DOX). In an extrapolation framework, DOX determines the relative weight investors place on recent-versus-distant past returns. DOX varies considerably...

We test the hypothesis that low visibility shocks to text-based network industry peers can explain industry momentum. We consider industry peer firms identified through 10-K product text and focus on economic peer links that do not share common SIC codes. Shocks to less visible peers generate...

We explore the predictive relation between high-frequency investor sentiment and stock market returns. Our results are based on a proprietary dataset of high-frequency investor sentiment, which is computed based on a comprehensive textual analysis of sources from news wires, internet news...

Sentiment from over 3.6 million Reuters news articles is tested in a vector autoregression model framework on its ability to forecast returns of the Dow Jones Industrials stock index. We show that Reuters sentiment can explain and predict changes in stock returns better than macroeconomic...

We propose that innovative originality is a valuable organizational resource, and that owing to limited investor attention and skepticism of complexity, greater innovative originality may be undervalued. We find that firms' innovative originality strongly predicts higher, more persistent, and...