Dispersion trading: Empirical evidence from U.S. options markets
Cara Marshall ()
Global Finance Journal, 2009, vol. 20, issue 3, 289-301
Abstract:
This paper develops empirical evidence on the viability of a form of volatility trading known as "dispersion trading." The results shed light on the efficiency with which U.S. options markets price volatility. Using end-of-day implied volatilities extracted from equity option prices for the stocks that comprise the S&P 500, the implied volatility of the S&P 500 is computed using a modification of the Markowitz variance equation. This Markowitz-implied volatility is then compared to the implied volatility of the S&P 500 extracted directly from index options on the S&P 500. These contemporaneous measures of implied volatility are then examined for exploitable discrepancies both with and without transaction costs. The study covers the period October 31, 2005 through November 1, 2007. It is shown that, from a trader's perspective, index option implied volatility tended to be more often "rich" and component volatilities tended to be more often "cheap." Nevertheless, there were times when the opposite was true; suggesting that potential dispersion trades can run in either direction.
Keywords: Dispersion; trading; Implied; volatility; Volatility; trading; Correlation; trading; Equity; options (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1044-0283(09)00059-3
Full text for ScienceDirect subscribers only
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:eee:glofin:v:20:y:2009:i:3:p:289-301
Access Statistics for this article
Global Finance Journal is currently edited by Manuchehr Shahrokhi
More articles in Global Finance Journal from Elsevier
Bibliographic data for series maintained by Catherine Liu ().