Is Trading Imbalance a Better Explanatory Factor in the Volatility Process? Intraday and Daily Evidence from E-mini S&P 500 Index Futures and Information-Based Hypotheses
An-Sing Chen,
Hui-Jyuan Gao and
Mark Leung
Additional contact information
An-Sing Chen: National Chung Cheng University, Taiwan
Hui-Jyuan Gao: National Chung Cheng University, Taiwan
Mark Leung: The University of Texas at San Antonio
No 39, Working Papers from College of Business, University of Texas at San Antonio
Abstract:
This paper examines trading imbalance as well as traditional trading variables in the volume-volatility relation in futures market. Unlike the majority of studies which utilize daily data, our empirical investigation compares an array of intraday frequencies (from five minutes to one hour) with daily interval. The primary analysis is conducted through a series of GARCH tests and the findings are then confirmed by a set of two-stage least square regressions. Since this paper adopts an information-based framework to explain the volume-volatility relation, unexpected trading variables are used to proxy for new market information. Results indicate that different trading imbalance metrics are useful and more significant than traditional trading variables in explaining the volatility relation for all daily and intraday intervals. Empirical findings support the existence of asymmetric information hypothesis at all intervals. On the other hand, mixture of distributions and difference in opinion hypotheses are validated in only some intraday intervals. Moreover, not only are the conclusions from daily observations not the same as the ones from intraday counterparts but also there are differences in the results between longer and shorter intraday intervals.
Keywords: Futures markets; price volatility; trading imbalance; number and volume of trades; asymmetric information; difference in opinion; mixture of distributions; GARCH and persistence effect. (search for similar items in EconPapers)
JEL-codes: G1 G13 (search for similar items in EconPapers)
Pages: 35 pages
Date: 2008-02-18
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://interim.business.utsa.edu/wps/MSS/0039MSS-045-2008.pdf Full text (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:tsa:wpaper:0084mss
Access Statistics for this paper
More papers in Working Papers from College of Business, University of Texas at San Antonio Contact information at EDIRC.
Bibliographic data for series maintained by Wendy Frost ().