Three-Factor Commodity Forward Curve Model and Its Joint P and Q Dynamics

S. Ladokhin, S. Borovkova
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引用次数: 6

Abstract

In this paper, we propose a new framework for modelling commodity forward curves. The proposed model describes the dynamics of fundamental driving factors simultaneously under physical (P) and risk-neutral (Q) probability measures. Our model an extension of the forward curve model by Borovkova and Geman (2007), into several directions. It is a three-factor model, incorpo- rating the synthetic spot price, based on liquidly traded futures, stochastic level of mean reversion and an analogue of the stochastic convenience yield. We develop an innovative calibration mechanism based on the Kalman ltering technique and apply it to a large set of Brent oil futures. Addition- ally, we investigate properties of the time-dependent market price of risk in oil markets. We apply the proposed modelling framework to derivatives pricing, risk management and counterparty credit risk. Finally, we outline a way of adjusting the proposed model to account for negative oil futures prices observed recently due to coronavirus pandemic.
三因素商品远期曲线模型及其联合P和Q动力学
在本文中,我们提出了一个新的框架来建模商品远期曲线。提出的模型同时描述了物理(P)和风险中性(Q)概率度量下基本驱动因素的动态。我们的模型是对Borovkova和german(2007)的正向曲线模型的几个方向的扩展。它是一个基于流动性交易期货、随机均值回归水平和随机便利收益率模拟的综合现货价格的三因素模型。我们开发了一种基于卡尔曼滤波技术的创新校准机制,并将其应用于大量布伦特原油期货。此外,我们还研究了石油市场中随时间变化的风险市场价格的性质。我们将提出的建模框架应用于衍生品定价、风险管理和交易对手信用风险。最后,我们概述了一种调整所提出模型的方法,以解释最近由于冠状病毒大流行而观察到的负石油期货价格。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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