Title: A study of the lead-lag relationship between price change and trading volume in futures markets using high-frequency data
Authors: Denise W. Streeter; Mohammad Najand; V. Reddy Dondeti; James E. Benton
Addresses: Howard University, 2600 Sixth Street, NW, Washington, DC 20059, USA ' Old Dominion University, 2125 Constant Hall, Norfolk, VA 23529, USA ' Norfolk State University, 700 Park Avenue, Norfolk, VA 23504, USA ' Shippensburg University, 1871 Old Main Drive, Shippensburg, PA 17257-2299, USA
Abstract: This paper uses high-frequency, tick-level data to examine the causal relationship between price change, trading volume and volatility in the S&P 500 index futures market. Based on 327,860 observations during the pre-2008 financial crisis period of 2005 through 2007, we find significant evidence of a bidirectional impact at up to three to four lags, in minutes, at the return level. Prior research that used daily data could not have captured this impact. At the volatility level, we find that volume has predictive power to forecast return volatility starting at lag three, which is consistent with the sequential information arrival hypothesis.
Keywords: futures markets; high-frequency data; S&P 500 index futures; price change; trading volume; return volatility; derivatives; lead-lag relationship; sequential information arrival hypothesis.
International Journal of Bonds and Derivatives, 2015 Vol.1 No.4, pp.284 - 301
Received: 22 Oct 2014
Accepted: 29 Mar 2015
Published online: 22 Dec 2015 *