Seasonality in Indian Commodities Market: Insights for modeling from preceding commodity cycle

Sharon K Jose, G. Girish
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Abstract

In this study we analyze seasonal behavior of Indian agriculture, energy and metal commodities through the ten years of preceding Super-cycle (2003-13) by considering monthly data for near month futures prices to remove basis variance. The thrust of the paper is to investigate seasonal behavior of selected commodities in India using monthly seasonal dummies. We found seasonal variation in four commodities namely gold, barley, guar and Jeera. In a declining interest-rate scenario and Post-Covid world, there is elevated likelihood that we are going to witness the next commodities super-cycle. It is imperative for hedge fund managers, global investors, commodities traders, high net-worth individuals, market participants and spread-traders to know what to expect based on the preceding super-cycle to strategize better and address seasonality.
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印度商品市场的季节性:从之前的商品周期建模的见解
在本研究中,我们通过考虑近月期货价格的月度数据来消除基础方差,分析了印度农业、能源和金属商品在前一个超级周期(2003-13)的十年中的季节性行为。本文的主旨是调查选定的商品在印度使用每月季节性假人的季节性行为。我们发现黄金、大麦、瓜尔和杰尔拉四种商品的季节性变化。在利率下降的情况下和后疫情时代,我们很有可能见证下一个大宗商品超级周期。对于对冲基金经理、全球投资者、大宗商品交易员、高净值个人、市场参与者和价差交易员来说,有必要了解基于前一个超级周期的预期,以便更好地制定策略并应对季节性因素。
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