Covariance breakdowns and connectedness of crude oil futures markets with non-synchronous data. Issue 5 (26th January 2019)

• Record Type: Journal Article
• Authors: Luo, Jiawen; Chen, Langnan; Zhang, Weiguo
• Is Part Of: Applied economics. Volume 51:Issue 5(2019)
• Page Start: 422
• Page End: 443
• Publication Date: 2019-01-26
• Subjects: Market connectedness -- covariance breakdowns -- crude oil futures -- VMA-DCC-B model -- nonsynchronous trading data; G15; Economics -- Periodicals; 330
• DOI: 10.1080/00036846.2018.1489510
• Languages: English
• ISSNs: 0003-6846

Abstract

ABSTRACT: This article identifies the breakdowns in the covariance of three benchmark crude oil futures markets (WTI, Brent and Dubai) and investigates the changes of market connectedness across the breakdown periods. As the crude oil futures are traded in different regions, this article eliminates the non-synchronous trading data by employing the Vector Moving Average structure and the Bayesian data augmentation approach, which keeps the integrity of original data without changing its properties. The results show that there are significant breaks in the covariance structure of crude oil futures markets. The breakdown periods are consistent with the periods when the market volatilities are at high level and the returns are volatile. The changes of market connectedness are independent of the covariance states, which supports the globalization hypothesis for the crude oil market. The results also suggest that there is more information flow out of the WTI than to the WTI during the sample period, particularly during the breakdown periods in 2008–2009.