Optimization of national grain imports to balance risk and return: A portfolio theory approach

D. Karakoc, M. Konar
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Abstract

Global grain trade plays a key role in food security. Many nations rely on imported grain to meet their dietary requirements. Grain imports may be at risk due to weather shocks, economic crises, or international conflicts. Countries aim to balance import risk with the expected return of their grain supplies. This research brings these dual objectives together in an innovative modern portfolio theory framework. Modern portfolio theory provides a set of concepts to formulate the trade-off between risk and expected return in national grain imports. Using Markowitz mean-variance optimization model, we identify opportunities to reduce risk in existing national grain import accounts, without increasing costs under realistic supply mass constraints of trade partners. Several major grain importers may be able to reduce risk in their grain imports without increasing cost, such as wheat imports in Egypt, maize imports in Vietnam, and rice imports in Saudi Arabia. However, some countries would indeed have to pay more to achieve more stable grain supplies, such as wheat imports in Turkey. This study provides a framework to quantify the different costs, benefits, and levels of risk in grain trade that can inform future research and decision-making.
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优化国家粮食进口,平衡风险与收益:投资组合理论方法
全球谷物贸易在粮食安全方面发挥着关键作用。许多国家依赖进口谷物来满足其饮食需求。谷物进口可能因气候冲击、经济危机或国际冲突而面临风险。各国的目标是在进口风险和粮食供应预期收益之间取得平衡。本研究将这双重目标结合在一个创新的现代投资组合理论框架中。现代投资组合理论提供了一套概念,用于制定国家粮食进口风险与预期收益之间的权衡。利用马科维茨均值-方差优化模型,我们发现了在贸易伙伴的现实供应量限制下,在不增加成本的情况下降低现有国家粮食进口账户风险的机会。几个主要谷物进口国可以在不增加成本的情况下降低谷物进口风险,如埃及的小麦进口、越南的玉米进口和沙特阿拉伯的大米进口。然而,有些国家确实需要付出更多的代价来获得更稳定的谷物供应,如土耳其的小麦进口。本研究为量化谷物贸易中的不同成本、收益和风险水平提供了一个框架,可为未来的研究和决策提供参考。
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