商品远期市场的希尔伯特空间杠杆巴恩多夫-尼尔森和谢泼德模型

IF 1.1 2区 经济学 Q3 BUSINESS, FINANCE
Fred Espen Benth, Carlo Sgarra
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引用次数: 0

摘要

我们对 Barndorff-Nielsen 和 Shephard 提出的模型进行了扩展,该模型基于在希尔伯特空间取值并包含杠杆效应的 Ornstein-Uhlenbeck 型随机过程。我们明确计算了对数收益率和波动率过程的特征函数。通过引入 Esscher 类型的度量变化,我们提供了历史度量与风险中性度量之间的动态关系。我们详细讨论了在 Heath-Jarrow-Morton 框架下应用所提出的模型来描述商品远期曲线动态的问题,包括能源市场中出现的交割期远期合约的建模和期权的定价。对于后者,我们证明了傅立叶方法可以应用于这一无限维环境,并依赖于我们的随机波动率模型的条件高斯性这一有吸引力的特性。在分析中,我们研究了远期价格的算术模型和几何模型,并提供了适当的马氏条件,以确保无套利动态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Barndorff-Nielsen and Shephard model with leverage in Hilbert space for commodity forward markets

We propose an extension of the model introduced by Barndorff-Nielsen and Shephard, based on stochastic processes of Ornstein–Uhlenbeck type taking values in Hilbert spaces and including the leverage effect. We compute explicitly the characteristic function of the log-return and the volatility processes. By introducing a measure change of Esscher type, we provide a relation between the dynamics described with respect to the historical and the risk-neutral measures. We discuss in detail the application of the proposed model to describe the commodity forward curve dynamics in a Heath–Jarrow–Morton framework, including the modelling of forwards with delivery period occurring in energy markets and the pricing of options. For the latter, we show that a Fourier approach can be applied in this infinite-dimensional setting, relying on the attractive property of conditional Gaussianity of our stochastic volatility model. In our analysis, we study both arithmetic and geometric models of forward prices and provide appropriate martingale conditions in order to ensure arbitrage-free dynamics.

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来源期刊
Finance and Stochastics
Finance and Stochastics 管理科学-数学跨学科应用
CiteScore
2.90
自引率
5.90%
发文量
20
审稿时长
>12 weeks
期刊介绍: The purpose of Finance and Stochastics is to provide a high standard publication forum for research - in all areas of finance based on stochastic methods - on specific topics in mathematics (in particular probability theory, statistics and stochastic analysis) motivated by the analysis of problems in finance. Finance and Stochastics encompasses - but is not limited to - the following fields: - theory and analysis of financial markets - continuous time finance - derivatives research - insurance in relation to finance - portfolio selection - credit and market risks - term structure models - statistical and empirical financial studies based on advanced stochastic methods - numerical and stochastic solution techniques for problems in finance - intertemporal economics, uncertainty and information in relation to finance.
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