Extreme Risk Spillovers From US Soybean Futures Market to China's Soybean‐Linked Futures Markets

ABSTRACT This study investigates the cross‐border risk spillovers between the US soybean futures market and Chinese soybean‐related futures markets. We first confirm the existence of strong tail dependence between US soybean futures and four Chinese soybean‐related futures by conducting a novel quantile‐Granger causality test. Second, tests under MVMQ‐CAViaR further provide evidence of risk spillovers from CBOT soybean futures to the DCE No.1 soybean, No.2 soybean, soybean meal, and soybean oil futures in value‐at‐risk at different quantiles. Lastly, results from the quantile impulse‐response function reveal the time‐varying and asymmetric property of risk spillover effects. In addition, we compare the results from two subsample periods and identify different risk spillover effects across markets at different quantiles that may contribute to the investors' decision‐making under extreme market conditions.

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Publication Details

Journal
Journal of Futures Markets
Published
2024-08-05
DOI
https://doi.org/10.1002/fut.22542
Citations
3
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
3.39
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article

Extreme Risk Spillovers From US Soybean Futures Market to China's Soybean‐Linked Futures Markets

Sisi Qin, Wee‐Yeap Lau
3 citations
Journal of Futures Markets
Market Dynamics and Volatility
3.39
article

Extreme Risk Spillovers From US Soybean Futures Market to China's Soybean‐Linked Futures Markets

Sisi Qin, Wee‐Yeap Lau
article en
3 citations

Abstract

ABSTRACT This study investigates the cross‐border risk spillovers between the US soybean futures market and Chinese soybean‐related futures markets. We first confirm the existence of strong tail dependence between US soybean futures and four Chinese soybean‐related futures by conducting a novel quantile‐Granger causality test. Second, tests under MVMQ‐CAViaR further provide evidence of risk spillovers from CBOT soybean futures to the DCE No.1 soybean, No.2 soybean, soybean meal, and soybean oil futures in value‐at‐risk at different quantiles. Lastly, results from the quantile impulse‐response function reveal the time‐varying and asymmetric property of risk spillover effects. In addition, we compare the results from two subsample periods and identify different risk spillover effects across markets at different quantiles that may contribute to the investors' decision‐making under extreme market conditions.

Journal of Futures MarketsVol. 44(11)
University of Malaya (MY), Henan Institute of Technology (CN), Henan Institute of Science and Technology (CN)
Openalex Percentile: Top 6%
Market Dynamics and Volatility
3.39
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