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Slow diffusion of information and price momentum in stocks: Evidence from options markets
Institution:1. PBC School of Finance, Tsinghua University, China;2. Department of Finance, The University of Melbourne, Australia;1. Haas School of Business, University of California, Berkeley, United States;2. School of Commerce, University of South Australia, Australia;3. School of Mathematics and Applied Statistics, University of Wollongong, Australia;4. University of South Australia;5. University of Calgary, Canada;6. Financial Engineering Division, Stevens Institute of Technology, Castle Point on Hudson, Hoboken, NJ 07030, United States;1. Anderson Graduate School of Management, University of California, Los Angeles, 110 Westwood Plaza, Suite C420, Los Angeles, CA 90095, USA;2. Robert H. Smith School of Business, University of Maryland, 4466 Van Munching Hall, College Park, MD 20742, USA
Abstract:This paper investigates the source of price momentum in the stock market using information from options markets. We provide direct evidence of the gradual information diffusion model in Hong and Stein (1999): momentum profits are larger for stocks whose information diffuses slowly into the stock market. We exploit the options markets to identify stocks with slow information diffusion speed. As informed traders trade options to realize the information that has not been fully incorporated in the stock price, we are able to enhance the momentum strategy by selecting winner/loser stocks with high growth/large drop in call option implied volatility. Our empirical strategy generates a risk-adjusted alpha of 1.8% per month over the 1996–2011 period, during which the simple momentum strategy fails to perform. The results are robust to the impact of earnings announcement, transaction costs, industry concentration, and choice of options’ moneyness and time-to-maturity. Finally, our finding is not driven by existing stock- or option-related characteristics that are known to improve momentum.
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