Multiscale Risk Spillovers and External Driving Factors: Evidence From the Global Futures and Spot Markets of Staple Foods

Stable and efficient food markets are crucial for global food security. However, international staple food markets are increasingly exposed to complex risks, including intensified risk contagion and increasing external uncertainties. This paper systematically investigates risk spillovers in global staple food markets and explores the key determinants of these spillover effects, combining innovative decomposition-reconstruction techniques, risk connectedness analysis, and random forest models. The findings reveal that short-term components exhibit the highest volatility, with futures components generally more volatile than spot components. Further analysis identifies two main risk transmission patterns, namely, cross-grain and cross-timescale transmission, and clarifies the distinct roles of each component in various net risk spillover networks. Furthermore, price drivers, external uncertainties, and core supply-demand indicators significantly influence these spillover effects, with the heterogeneous importance of varying factors in explaining different risk spillovers. This study provides valuable information on the risk dynamics of staple food markets, offers evidence-based guidance to policymakers and market participants to improve risk warning and mitigation efforts, and supports the stabilization of international food markets and the protection of global food security.

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Publication Details

Journal
Risk Analysis
Published
2025-09-04
DOI
https://doi.org/10.1111/risa.70094
Citations
2
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
6.26

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article

Multiscale Risk Spillovers and External Driving Factors: Evidence From the Global Futures and Spot Markets of Staple Foods

Yun‐Shi Dai, Wei‐Xing Zhou, Duc Khuong Nguyen, Pengfei Dai et al.
2 citations
Risk Analysis
Market Dynamics and Volatility
6.26
article

Multiscale Risk Spillovers and External Driving Factors: Evidence From the Global Futures and Spot Markets of Staple Foods

Yun‐Shi Dai, Wei‐Xing Zhou, Duc Khuong Nguyen, Pengfei Dai, Stéphane Goutte
article en
2 citations

Abstract

Stable and efficient food markets are crucial for global food security. However, international staple food markets are increasingly exposed to complex risks, including intensified risk contagion and increasing external uncertainties. This paper systematically investigates risk spillovers in global staple food markets and explores the key determinants of these spillover effects, combining innovative decomposition-reconstruction techniques, risk connectedness analysis, and random forest models. The findings reveal that short-term components exhibit the highest volatility, with futures components generally more volatile than spot components. Further analysis identifies two main risk transmission patterns, namely, cross-grain and cross-timescale transmission, and clarifies the distinct roles of each component in various net risk spillover networks. Furthermore, price drivers, external uncertainties, and core supply-demand indicators significantly influence these spillover effects, with the heterogeneous importance of varying factors in explaining different risk spillovers. This study provides valuable information on the risk dynamics of staple food markets, offers evidence-based guidance to policymakers and market participants to improve risk warning and mitigation efforts, and supports the stabilization of international food markets and the protection of global food security.

Risk AnalysisVol. 45(11)
East China University of Science and Technology (CN), Vietnam National University, Hanoi (VN), Université de Versailles Saint-Quentin-en-Yvelines (FR), Wuhan University of Technology (CN), Paris School of Business (FR), Vinci (France) (FR), Aptiv (France) (FR), Institut de Recherche pour le Développement (FR)
National Natural Science Foundation of China, China Scholarship Council, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 4%
Market Dynamics and Volatility
6.26
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