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Modeling global and local dependence in a pair of commodity forward curves with an application to the US natural gas and heating oil markets

机译:建模一对商品前向曲线中的全球和本地依赖关系,并将其应用于美国天然气和取暖油市场

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The goal of this paper is to present a model for the joint evolution of correlated commodity forward curves. Each forward curve is directed by two state variables, namely slope and level, and the model is meant to capture both the local and global dependence structures between slopes and levels. Our framework can be interpreted as an extension of the concept of cointegration to forward curves. The model is applied to a US database of heating oil and natural gas futures prices over the period February 2000-February 2009. We find the long-run slope and level relationships between natural gas and heating oil markets, analyze the lead and lag properties between the two energy commodities, the volatilities and correlations between their daily co-movements and evaluate the robustness of these observations to the turmoil experienced by energy markets since 2003.
机译:本文的目的是为相关商品正向曲线的联合演化提供一个模型。每个前向曲线由两个状态变量(即坡度和水准)控制,该模型旨在捕获坡度和水准之间的局部和全局依存结构。我们的框架可以解释为协整概念向正向曲线的扩展。该模型被应用于2000年2月至2009年2月期间的美国取暖油和天然气期货价格数据库。我们找到了天然气和取暖油市场之间的长期斜率和水平关系,分析了两者之间的超前和滞后性质。这两种能源商品之间的波动率及其日常联动关系,并评估了这些观察结果对自2003年以来能源市场经历的动荡的稳健性。

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