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Stage‐Adaptive Hedging for Geopolitical Risk Spillovers in Crops: The Role of Battlefront Geography in the Russia–Ukraine Conflict

Yanyan Li et al.

European Financial Management2026https://doi.org/10.1111/eufm.70045article
AJG 3ABDC A
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0.50

Abstract

Against the backdrop of the Russia–Ukraine conflict, this paper advances the literature on agricultural risk spillovers by integrating conflict geography, stage‐dependent dynamics, and policy interactions. Employing the BEKK‐GARCH model, we document that wheat and corn markets—with 38%–34% of their total plantings overlapping active conflict zones in northern/eastern Ukraine—exhibit weakened spillovers, whereas soybeans in geographically isolated western regions maintain stability. We develop a unified cross‐crop model to one‐step estimate geopolitics‐and‐stage‐dependent spillover coefficients, while corroborating subsample‐based findings. Hedging efficiency ( HE ) exhibits a nonmonotonic U‐shaped relationship with generalized autoregressive conditional heteroskedasticity (GARCH) spillover intensity, peaking at 0.97 for US wheat under extreme negative spillovers. We accordingly propose an HE ‐threshold dynamic hedging strategy that effectively avoids low‐effectiveness periods without sacrificing valuable hedging opportunities. This study establishes the primacy of production geography in spillover resilience and highlights the need for stage‐adaptive hedging strategies to mitigate supply chain vulnerabilities in geopolitically volatile markets.

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https://doi.org/https://doi.org/10.1111/eufm.70045

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@article{yanyan2026,
  title        = {{Stage‐Adaptive Hedging for Geopolitical Risk Spillovers in Crops: The Role of Battlefront Geography in the Russia–Ukraine Conflict}},
  author       = {Yanyan Li et al.},
  journal      = {European Financial Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1111/eufm.70045},
}

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0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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