We study the price dynamics of stocks traded in the NASDAQmarket by considering the statistical properties of an ensemble of stocks traded simultaneously. For each trading day of our database, we study the ensemble return distribution by extracting its first two central moments. According to previous results obtained for the NYSE market, we find that the second moment is a long-range correlated...

Three studies investigated the impact of the psychological principle of fluency (that people tend to prefer easily processed information) on short-term share price movements. In both a laboratory study and two analyses of naturalistic real-world stock market data, fluently named stocks robustly outperformed stocks with disfluent names in the short term. For example, in one study, an initial inv...

Stocks with recent past high idiosyncratic volatility have low future average returns around the world. Across 23 developed markets, the difference in average returns between the extreme quintile portfolios sorted on idiosyncratic volatility is 1:31% per month, after controlling for world market, size, and value factors. The effect is individually significant in each G7 country. In the United S...

In this study, we examine how initial public offerings (IPO) entry rates are affected when stock markets are boundedly rational and IPO firms infer information from their counterparts in the market. We hypothesize a curvilinear relationship between the number of comparable stocks and initial public offerings (IPO) entry rates into the NASDAQ Stock Exchange. Furthermore, we argue that trading vo...

We examine the dynamic relation between return and volume of individual stocks. Using a simple model in which investors trade to share risk or speculate on private information, we show that returns generated by risk-sharing trades tend to reverse themselves, while returns generated by speculative trades tend to continue themselves. We test this theoretical prediction by analyzing the relation b...

Previous research suggests that individual investor sentiment has incremental explanatory power for returns of small cap stocks, value stocks, stocks with low institutional ownership, and stocks with lower prices (Kumar and Lee (2003)) and that there is a strong link between institutional sentiment and the returns of large stocks (Brown and Cliff (2004)). With respect to return volatility, Jack...

In this paper, we examine the pro…tability from a convergence trading strategy called pairs trading which bets that a pair of stocks with price paths that have historically moved together will eventually converge if they ever diverge. We …nd that the pro…tability from pairs trading is greatest soon after the pairs diverge and that the pro…tability is strongly related to events around the date o...

We apply machine learning methods to obtain an index arbitrage strategy. In particular, we employ linear regression and support vector regression (SVR) onto the prices of an exchange-traded fund and a stream of stocks. By using principal component analysis (PCA) in reducing the dimension of feature space, we observe the benefit and note the issues in application of SVR. To generate trading sign...

We study the causal effect of trading on stock market liquidity. We exploit episodes of sensational news (exogenous to the market) that distract retail investors. On “distraction days” we find that trading activity, liquidity, and volatility all decline among stocks owned predominantly by retail investors. These findings, complemented by additional tests, establish that retail investors contrib...