状态价格密度估计及其在恢复定理中的应用

Anthony Sanford
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引用次数: 0

摘要

摘要本文引入了一个由期权价格推导出的股票价格的风险中性密度估计模型。为了估计一个完全的风险中性密度,目前的估计技术使用一个单一的数学模型在两个维度上插值期权价格:执行价格和到期时间。相反,该模型使用带有货币结点的b样条曲线来插值执行价格,使用依赖于期权到期期限的混合对数正态函数来插值到期时间。当应用于恢复定理时,这种“混合”方法的结果明显优于其他风险中性密度外推方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
State price density estimation with an application to the recovery theorem
Abstract This article introduces a model to estimate the risk-neutral density of stock prices derived from option prices. To estimate a complete risk-neutral density, current estimation techniques use a single mathematical model to interpolate option prices on two dimensions: strike price and time-to-maturity. Instead, this model uses B-splines with at-the-money knots for the strike price interpolation and a mixed lognormal function that depends on the option expiration horizon for the time-to-maturity interpolation. The results of this “hybrid” methodology are significantly better than other risk-neutral density extrapolation methods when applied to the recovery theorem.
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