从期权价格中提取股票隐含收益

Nikhil Jaisinghani
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摘要

本文提出了一种从期权价格中提取市场预期收益的新方法,同时也计算期权特定的风险折扣(看涨期权)和溢价(看跌期权)。然而,首先,我重新审视变量μ(股票的预期收益),因为它与Black-Scholes公式推导中的股票价格有关。我假设μ本身是时间的函数,因此Black、Scholes和Merton解出的偏导数方程是不完整的。重要的是,这破坏了Black、Scholes和Merton得出的结论,即期权的价格不是标的股票预期收益的函数。为了从期权价格中提取预期收益,我首先提出看涨和看跌期权价格的公式,引入执行价格特定折扣和溢价的变量。满足无套利假设所需的期权的已知质量,然后用于求解这些折扣和溢价作为股票隐含预期价格和σ的函数。最后用数值分析方法求出隐含期望价格和σ。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extracting Implied Stock Returns from Options Prices
This paper proposes a new method for extracting the market’s expected return of a stock from options prices while also calculating option-specific risk discounts (calls) and premiums (puts). However, first, I revisit the variable μ (expected return of a stock) as it relates to stock prices in the Black-Scholes formula derivation. I postulate that μ is itself a function of time and therefore the partial derivative equation Black, Scholes, and Merton solved was incomplete. Importantly, this undermines the conclusion Black, Scholes, and Merton came to, that an option’s price is not a function of the expected return of the underlying stock. To extract the expected return from options prices, I begin by proposing formulas for call and put prices introducing variables for strike price specific discounts and premiums. Known qualities of options, required to satisfy the no arbitrage assumption, are then used to solve for these discounts and premiums as a function of the implied expected price of a stock and σ. Finally, implied expected price and σ are solved for using numerical analysis.
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