A Stylized Model of the Oil Squeeze

Ilia Bouchouev
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Abstract

The paper proposes a practical alternative to a traditional theory of storage, which is difficult to apply to oil markets due to structural differences, such as low-price elasticities of demand and supply, and the dominant role of oil as an investment asset. We model futures time spreads as a derivative of the observable state variable, oil inventories. Inventories, normalized by the storage capacity, are assumed to follow a mean-reverting stochastic process. The boundary condition at the futures expiry is specified by a pair of Dirac delta functions which correspond to the events of default by the futures trader when either oil inventory or the storage capacity are no longer available. The model is calibrated to data for Cushing, Oklahoma, the delivery location for WTI futures, and is used to analyze the market dynamics that led to negative oil prices. We argue that while the limitation of storage capacity was the initial catalyst leading to the event, the actual episode of negative prices was the result of the financial squeeze in the futures market.
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石油挤压的程式化模型
本文提出了一种替代传统储存理论的实用方法。由于结构性差异,例如需求和供应的价格弹性较低,以及石油作为一种投资资产的主导地位,传统储存理论难以适用于石油市场。我们将期货时间价差建模为可观测状态变量石油库存的导数。假定库存按存储容量归一化,遵循均值回归的随机过程。期货到期时的边界条件由一对狄拉克函数指定,该函数对应于期货交易者在石油库存或存储能力不再可用时的违约事件。该模型是根据WTI期货交割地俄克拉荷马州库欣的数据进行校准的,并用于分析导致油价下跌的市场动态。我们认为,虽然存储容量的限制是导致这一事件的最初催化剂,但实际的负价格事件是期货市场金融紧缩的结果。
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