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

IF 3.3 3区 医学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Risk Analysis Pub Date : 2025-09-04 DOI:10.1111/risa.70094
Yun-Shi Dai, Peng-Fei Dai, Stéphane Goutte, Duc Khuong Nguyen, Wei-Xing Zhou
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引用次数: 0

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.

多尺度风险溢出与外部驱动因素:来自全球主粮期货和现货市场的证据。
稳定和高效的粮食市场对全球粮食安全至关重要。然而,国际主粮市场日益面临复杂风险,包括风险传染加剧和外部不确定性增加。本文结合创新的分解重建技术、风险连通性分析和随机森林模型,系统地研究了全球主粮市场的风险溢出效应,并探讨了这些溢出效应的关键决定因素。研究结果显示,短期成分表现出最高的波动性,期货成分通常比现货成分波动更大。进一步分析确定了两种主要的风险传递模式,即跨颗粒和跨时间尺度传递,并阐明了各组成部分在各种净风险溢出网络中的独特作用。此外,价格驱动因素、外部不确定性和核心供需指标显著影响这些溢出效应,不同因素在解释不同风险溢出时的重要性不尽相同。该研究提供了有关主食市场风险动态的宝贵信息,为决策者和市场参与者提供了基于证据的指导,以改进风险预警和缓解工作,并支持稳定国际粮食市场和保护全球粮食安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Risk Analysis
Risk Analysis 数学-数学跨学科应用
CiteScore
7.50
自引率
10.50%
发文量
183
审稿时长
4.2 months
期刊介绍: Published on behalf of the Society for Risk Analysis, Risk Analysis is ranked among the top 10 journals in the ISI Journal Citation Reports under the social sciences, mathematical methods category, and provides a focal point for new developments in the field of risk analysis. This international peer-reviewed journal is committed to publishing critical empirical research and commentaries dealing with risk issues. The topics covered include: • Human health and safety risks • Microbial risks • Engineering • Mathematical modeling • Risk characterization • Risk communication • Risk management and decision-making • Risk perception, acceptability, and ethics • Laws and regulatory policy • Ecological risks.
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