The Efficiency of VIX Futures Market – A Panel Data Approach

Posted: 27 Feb 2012

See all articles by Athanasios Fassas

Athanasios Fassas

University of Thessaly; Hellenic Open University

Costas Siriopoulos

Zayed University, College of Business; University of Patras - Business Administration

Date Written: February 26, 2012

Abstract

This study examines whether VIX futures prices are unbiased and efficient predictors of the VIX index. The particular empirical analysis differs from the usually applied tests in that it uses a panel estimation approach. Panel regression has several advantages as it offers more flexibility in modelling the efficiency of several futures contract with overlapping dataset. As a result, this methodology enables us to include all daily closing prices of VIX futures contracts that expired between May 2004 and December 2009, a total of 64 contracts.

The empirical findings support the hypothesis that VIX futures are good predictors of spot VIX values. The tests show that the VIX futures with a forecast horizon up to 23 days do not incorporate a significant risk premium and thus, can be considered as unbiased and efficient estimators of the relevant spot VIX levels.

Keywords: VIX futures, market efficiency, panel data

JEL Classification: G10, G13, G14, C23

Suggested Citation

Fassas, Athanasios and Siriopoulos, Costas, The Efficiency of VIX Futures Market – A Panel Data Approach (February 26, 2012). Journal of Alternative Investments, Vol. 14, No. 3, 2012, Available at SSRN: https://ssrn.com/abstract=2011463

Athanasios Fassas (Contact Author)

University of Thessaly ( email )

Argonafton & Filellinon
38221 Volos, 41110
United States

Hellenic Open University ( email )

Parodos Aristotelous 18
Patra, 26335
Greece

Costas Siriopoulos

Zayed University, College of Business ( email )

P.O. Box 144534
Abu Dhabi
United Arab Emirates

University of Patras - Business Administration ( email )

Patras
Greece

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Abstract Views
1,032
PlumX Metrics