粮食、收获和利率关系:依赖和溢出的分位数调查

Bikramaditya Ghosh , Mariya Gubareva , Anandita Ghosh , Dimitrios Papadas , Xuan Vinh Vo
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引用次数: 0

摘要

在紧张时期,全球粮食安全问题会加剧。为了更深入地探讨这个问题,我们的研究使用2000年至2023年的数据,考察了粮食、收成和利率之间的依赖关系和溢出效应。饲料率、肉类、收成和糖在下限和上限分位数(Q0.1 &;Q0.9)。相反,谷物、乳制品和植物油在下限和上限的极端分位数(Q0.1 &;Q0.9)。此外,谷物和植物油在所有分位数中都是相互作用的。我们的研究结果显示,连通性在Q0.5时明显较弱,这表明基于中位数或平均值的连通性指标可能掩盖了极端固有的强连通性模式。本文为在高利率时期寻求最优资源配置的投资者和投资组合经理提供了及时的见解。它提供了食物、收获和利率之间溢出效应的时间和分位数不对称的经验证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 (Q0.1 & Q0.9). Conversely, cereals, dairy, and vegetable oils act as a net emitter across both lower and upper extreme quantiles (Q0.1 & Q0.9). Furthermore, cereals and vegetable oils are reciprocators across all quantiles. Our findings reveal that connectedness is notably weaker at Q0.5 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.
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来源期刊
International Economics
International Economics Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
6.30
自引率
0.00%
发文量
74
审稿时长
71 days
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