导出更好的二阶导数

R. Galeeva
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引用次数: 0

摘要

彼得·卡尔(Peter Carr)在其1993年的先驱论文《衍生证券的衍生工具》(Deriving Derivatives of Derivatives-Securities)中,使用算子演算表明,路径独立债权的所有偏导数都可以用空间导数表示。我们将这些结果推广到多资产情况。颠倒关系并用一阶希腊语表示高阶希腊语(如伽马或交叉伽马),可以获得更好的数值稳定性和收敛性。我们将结果应用于存储等重要能源资产的评估和风险。此外,我们考虑了希腊的CEV模型和随机波动率的情况。在我们讨论的时候,可以追溯到2010-2011年,我主要对大宗商品衍生品的应用感兴趣。彼得建议包括指数莱维模型,这是他最喜欢的主题;CEV模型;以及随机波动情况。在准备这篇文章时,我保留了我们共同撰写的2011年12月的原始草稿。我重新编写了这篇文章,并添加了存储模型、数值示例和推导。
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Deriving Better Second-Order Derivatives
In his pioneer paper traced back to 1993, “Deriving Derivatives of Derivatives Securities,” Peter Carr used the operator calculus to show that that all partial derivatives of path independent claims can be represented in terms of the spatial derivatives. We generalized these results for multiasset situations. Reversing the relationships and expressing the higher-order Greeks (as gamma or cross gamma) in terms of the first-order Greeks leads to better numerical stability and convergence properties. We apply the results to evaluation and risk of an important energy asset as storage. In addition, we consider Greeks for the CEV model and the stochastic volatility case. At the time of our discussions, dating back in 2010–2011, I was mostly interested in applications for commodity derivatives. Peter suggested including the exponential Lévy model, his favorite subject; the CEV models; and the stochastic volatility case. In preparing this article, I kept the original draft, dated December 2011, of the write-up we worked out together. I reworked the write-up, and added storage models, numerical examples, and derivations.
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发文量
11
审稿时长
24 weeks
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