An Overview of Derivative Pricing in Gaussian Affine Asset Pricing Models: An Application to the KNW Model

Kees E. Bouwman, R. Lord
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引用次数: 1

Abstract

We present a comprehensive overview of derivative pricing in Gaussian affine asset pricing models. Gaussian affine asset pricing models are widely used in practice for pricing and scenario analysis due to their tractable pricing implications and easy estimation. This tractability is essential to efficiently evaluate portfolios of derivatives within many scenarios and time periods. We present efficient closed-form pricing formulas for the most common derivative instruments used by pension funds and insurance companies, such as interest rate swaps, swaptions, inflation-linked swaps, equity options, based on results from the literature. The pricing formulas are presented in a comprehensive computable form by utilising results based on the matrix exponential. Next, we show how some models commonly used in practice fit in the Gaussian affine framework, so that the pricing formulas can be applied to these cases. In particular, we discuss the KNW model by Koijen, Nijman and Werker (2010), which is widely used in the pension industry. Finally we discuss how our results can be applied to a time-inhomogeneous extension of the model that allows perfect calibration to the observed yield curve.
高斯仿射资产定价模型中的衍生品定价综述:在KNW模型中的应用
我们提出了在高斯仿射资产定价模型衍生品定价的全面概述。高斯仿射资产定价模型由于其易于处理的定价含义和易于估计而被广泛应用于定价和情景分析。这种可追溯性对于在许多情景和时间段内有效评估衍生品投资组合至关重要。我们根据文献的结果,为养老基金和保险公司使用的最常见的衍生工具,如利率掉期、掉期、通胀挂钩掉期、股票期权,提出了有效的封闭式定价公式。利用基于矩阵指数的结果,以综合可计算的形式给出了定价公式。接下来,我们将展示实践中常用的一些模型如何适合高斯仿射框架,以便将定价公式应用于这些情况。我们特别讨论了Koijen, Nijman和Werker(2010)的KNW模型,该模型在养老金行业中被广泛使用。最后,我们讨论了如何将我们的结果应用于模型的时间非均匀扩展,从而可以对观察到的收益率曲线进行完美校准。
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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