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arXiv 2302.08041q-fin.PR
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用一篮子期权的前三阶矩为一篮子期权定价:对数正态模型及其他

Pricing basket options with the first three moments of the basket: log-normal models and beyond

Dongdong Hu, Hasanjan Sayit, Frederi Viens

摘要:

资产篮子(线性组合)上的期权,即使是用最简单的对数正态连续时间随机模型来定价,也是非常具有挑战性的。文[5]利用矩匹配给出了对数正态模型下具有潜在负资产组合权重的一篮子期权定价的封闭形式近似公式。这个近似公式概念简单,方法合理,结果是高度准确的。然而,它涉及到解决一个系统的非线性方程组,通常会产生多个解决方案,这是敏感的数值程序中的初始值的选择,使该方法在计算上具有挑战性。在本文中,我们进一步采用[5]中的矩匹配方法,通过仅基于篮子的偏度确定一元三次方程来获得该非线性方程组的封闭形式解,该一元三次方程参数化所有模型参数,并且我们使用它将近似公式表示为篮子的均值、方差和偏度的显式函数。与[5]中考虑的篮子的数值比较显示出非常高的一致性,因此相对于真实的篮子期权价格的准确性。

英文摘要:

Options on baskets (linear combinations) of assets are notoriously challenging to price using even the simplest log-normal continuous-time stochastic models for the individual assets. The paper [5] gives a closed form approximation formula for pricing basket options with potentially negative portfolio weights under log-normal models by moment matching. This approximation formula is conceptually simple, methodologically sound, and turns out to be highly accurate. However it involves solving a system of nonlinear equations which usually produces multiple solutions and which is sensitive to the selection of initial values in the numerical procedures, making the method computationally challenging. In the current paper, we take the moment-matching methodology in [5] a step further by obtaining a closed form solution for this non-linear system of equations, by identifying a unary cubic equation based solely on the basket's skewness, which parametrizes all model parameters, and we use it to express the approximation formula as an explicit function of the mean, variance, and skewness of the basket. Numerical comparisons with the baskets considered in [5] show a very high level of agreement, and thus of accuracy relative to the true basket option price.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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