High-frequency volatility connectedness between the US crude oil market and China's agricultural commodity markets
Abstract
This paper investigates the realised volatility connectedness of US crude oil futures and five China's agricultural commodity futures using connectedness measures and high-frequency data. Time-varying volatility connectedness characteristics are identified by combining a multivariate heteroscedastic autoregressive (HAR) model with the DCC-GARCH model. The results verify the existence of volatility spillover from the US crude oil market to...
Paper Details
Title
High-frequency volatility connectedness between the US crude oil market and China's agricultural commodity markets
Published Date
Oct 1, 2018
Journal
Volume
76
Pages
424 - 438
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History