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Time-varying long-run mean of commodity prices and the modeling of futures term structures

机译:商品价格的时变长期均值和期货期限结构的建模

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The exploration of the mean-reversion of commodity prices is important for inventory management, inflation forecasting and contingent claim pricing. Bessembinder et al. [J. Finance, 1995, 50, 361-375] document the mean-reversion of commodity spot prices using futures term structure data; however, mean-reversion to a constant level is rejected in nearly all studies using historical spot price time series. This indicates that the spot prices revert to a stochastic long-run mean. Recognizing this, I propose a reduced-form model with the stochastic long-run mean as a separate factor. This model fits the futures dynamics better than do classical models such as the Gibson-Schwartz [J. Finance, 1990, 45, 959-976] model and the Casassus-Collin-Dufresne [J. Finance, 2005, 60, 2283-2331] model with a constant interest rate. An application for option pricing is also presented in this paper.
机译:探索商品价格的均值回归对于库存管理,通货膨胀预测和或有索赔定价很重要。 Bessembinder等。 [J. Finance,1995,50,361-375]使用期货期限结构数据记录了商品现货价格的均值回归;但是,几乎所有使用历史现货价格时间序列的研究均拒绝将均值回归到恒定水平。这表明现货价格恢复为随机的长期均值。认识到这一点,我提出了一个简化形式的模型,将随机长期均值作为一个单独的因素。与经典模型(如Gibson-Schwartz)相比,该模型更适合期货动态。 Finance,1990,45,959-976]模型和Casassus-Collin-Dufresne [J.财务,2005年,第60期,第2283-2331页]。本文还介绍了期权定价的应用。

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