Food, harvesting and interest rate nexus: Quantile investigation about dependencies and spillover

The global food security issue intensifies during periods of stress. To delve deeper into this matter, our study examines dependencies and spillovers between food, harvesting, and interest rates using data from 2000 to 2023. Fed rate, meat, harvest, and sugar exhibit net shock receiver characteristics across both lower and upper extreme quantiles (Q 0.1 & Q 0.9 ). Conversely, cereals, dairy, and vegetable oils act as a net emitter across both lower and upper extreme quantiles (Q 0.1 & Q 0.9 ). Furthermore, cereals and vegetable oils are reciprocators across all quantiles. Our findings reveal that connectedness is notably weaker at Q 0.5 indicating that median or mean-based connectedness metrics may disguise strong connectedness patterns, inherent to the extremes. The paper provides timely insights for investors and portfolio managers seeking optimal resources allocation during periods of high interest rates. It offers empirical evidence of time and quantile asymmetry in spillovers between food, harvesting, and interest rates. • We study connectedness among food, harvesting, & interest rates during 2000–2023. • Fed rate, meat, harvest, sugar are net shock receivers at the tails (Q 0.1 & Q 0.9 ). • Conversely, cereals, dairy, & vegetable oils are net shock emitters (Q 0.1 & Q 0.9 ). • Mean-based Q 0.5 connectedness is not representative of tail connectedness patterns. • Spillovers among food, harvesting, interest rates show time and quantile asymmetry.

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Publication Details

Journal
International Economics
Published
2025-03-18
DOI
https://doi.org/10.1016/j.inteco.2025.100593
Primary Topic
Market Dynamics and Volatility
Type
article
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article

Food, harvesting and interest rate nexus: Quantile investigation about dependencies and spillover

Xuan Vinh Vo, Bikramaditya Ghosh, Mariya Gubareva, Dimıtrios Paparas et al.
International Economics
Market Dynamics and Volatility
article

Food, harvesting and interest rate nexus: Quantile investigation about dependencies and spillover

Xuan Vinh Vo, Bikramaditya Ghosh, Mariya Gubareva, Dimıtrios Paparas, Anandita Ghosh
article en

Abstract

The global food security issue intensifies during periods of stress. To delve deeper into this matter, our study examines dependencies and spillovers between food, harvesting, and interest rates using data from 2000 to 2023. Fed rate, meat, harvest, and sugar exhibit net shock receiver characteristics across both lower and upper extreme quantiles (Q 0.1 & Q 0.9 ). Conversely, cereals, dairy, and vegetable oils act as a net emitter across both lower and upper extreme quantiles (Q 0.1 & Q 0.9 ). Furthermore, cereals and vegetable oils are reciprocators across all quantiles. Our findings reveal that connectedness is notably weaker at Q 0.5 indicating that median or mean-based connectedness metrics may disguise strong connectedness patterns, inherent to the extremes. The paper provides timely insights for investors and portfolio managers seeking optimal resources allocation during periods of high interest rates. It offers empirical evidence of time and quantile asymmetry in spillovers between food, harvesting, and interest rates. • We study connectedness among food, harvesting, & interest rates during 2000–2023. • Fed rate, meat, harvest, sugar are net shock receivers at the tails (Q 0.1 & Q 0.9 ). • Conversely, cereals, dairy, & vegetable oils are net shock emitters (Q 0.1 & Q 0.9 ). • Mean-based Q 0.5 connectedness is not representative of tail connectedness patterns. • Spillovers among food, harvesting, interest rates show time and quantile asymmetry.

International EconomicsVol. 182
University of Lisbon (PT), University of Economics Ho Chi Minh City (VN), Symbiosis International University (IN), Harper Adams University (GB)
Zero hunger
Openalex Percentile: Top 92%
Market Dynamics and Volatility
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Food, harvesting and interest rate nexus: Quantile investigation about dependencies and spillover — Xuan Vinh Vo, Bikramaditya Ghosh, et al. · International Economics (2025) | TGRS Research Map | TGRS