Study of Volatility Spillover from Crude Oil Futures to Grain Futures Across Multiple Cycles Based on the EEMD-BEKK-GARCH Model

Against the backdrop of increasing financialization of grain markets, the cross-cycle and cross-market contagion among commodities has been intensifying. To investigate the risk spillover among commodities across different cycles, this study selected UK WTI crude oil and soybean, corn, and wheat futures prices from the Chicago Board of Trade as research subjects. Using ensemble empirical mode decomposition (EEMD), the original sequences were decomposed into sub-sequences of different frequencies. Based on these frequency characteristics, long-term, medium-term, and short-term fluctuations were constructed. The BEKK-GARCH model was then applied to explore the volatility spillover across markets under different cycles. The results indicate that in terms of pricing mechanisms, crude oil futures dominate the price fluctuations of grain futures. In terms of risk spillover across different cycles, there is a bidirectional risk spillover effect between crude oil and grain futures in short-term and medium-term fluctuations, while in long-term fluctuations, there is only a unidirectional transmission from crude oil futures to grain futures. Based on the research findings, this paper proposes relevant policy recommendations, aiming to provide government regulatory authorities and futures investors with policy guidance and a theoretical foundation across different cycles.

Authors

Institutions

Publication Details

Journal
Agriculture
Published
2024-12-30
DOI
https://doi.org/10.3390/agriculture15010067
Citations
4
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
4.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study of Volatility Spillover from Crude Oil Futures to Grain Futures Across Multiple Cycles Based on the EEMD-BEKK-GARCH Model

Zhong Yu, Mingzhe Pu, X. C. Wang, Shangpeng Sun
4 citations
Agriculture
Market Dynamics and Volatility
4.52
article

Study of Volatility Spillover from Crude Oil Futures to Grain Futures Across Multiple Cycles Based on the EEMD-BEKK-GARCH Model

Zhong Yu, Mingzhe Pu, X. C. Wang, Shangpeng Sun
article en
4 citations

Abstract

Against the backdrop of increasing financialization of grain markets, the cross-cycle and cross-market contagion among commodities has been intensifying. To investigate the risk spillover among commodities across different cycles, this study selected UK WTI crude oil and soybean, corn, and wheat futures prices from the Chicago Board of Trade as research subjects. Using ensemble empirical mode decomposition (EEMD), the original sequences were decomposed into sub-sequences of different frequencies. Based on these frequency characteristics, long-term, medium-term, and short-term fluctuations were constructed. The BEKK-GARCH model was then applied to explore the volatility spillover across markets under different cycles. The results indicate that in terms of pricing mechanisms, crude oil futures dominate the price fluctuations of grain futures. In terms of risk spillover across different cycles, there is a bidirectional risk spillover effect between crude oil and grain futures in short-term and medium-term fluctuations, while in long-term fluctuations, there is only a unidirectional transmission from crude oil futures to grain futures. Based on the research findings, this paper proposes relevant policy recommendations, aiming to provide government regulatory authorities and futures investors with policy guidance and a theoretical foundation across different cycles.

AgricultureVol. 15(1)
Agricultural Information Institute (CN), Institute of Agricultural Economics and Development (CN), Chinese Academy of Agricultural Sciences (CN)
National Natural Science Foundation of China, Chinese Academy of Agricultural Sciences, National Social Science Fund of China
Partnerships for the goals
Openalex Percentile: Top 5%
Market Dynamics and Volatility
4.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.