希腊:金融期权价格的敏感性和隐含波动率

Anselm Hudde
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引用次数: 1

摘要

摘要 greeks R 软件包利用布莱克-斯科尔斯(Black-Scholes)模型和更一般的跃迁扩散模型来 计算具有不同报酬函数的欧式、几何和算术式亚洲以及美式期权的金融期权价格的敏感性(有 关处理方法见 Hull(2022)和 Angus(1999)对几何式亚洲期权的处理方法)。布莱克-斯科尔斯(Black-Scholes)模型是股票价格建模的标准方法,而跃迁扩散模型旨在更真实地反映市场走势,见 Kou(2002)。此外,还为多种期权类型和自定义报酬函数提供了计算隐含波动率的方法。对于 Black-Scholes 模型中的欧式期权,采用了 Hull(2022)中的经典公式。对于亚洲期权,则采用马利亚文蒙特卡罗希腊公式,参见 Hudde & Rüschendorf (2023) 或 Lyuu 等人 (2019)。对于美式期权,则采用二叉树方法,见 Hull(2022)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
greeks: Sensitivities of Prices of Financial Options and Implied Volatilities
Summary The greeks R package leverages the Black-Scholes model and more general jump diffusion models to compute sensitivities of financial option prices for European, geometric and arithmetic Asian, as well as American options, with various payoff functions (for a treatment see Hull (2022), and Angus (1999) for the case of geometric Asian options). The Black-Scholes model is the standard approach for modelling stock prices, while jump diffusion models aim to offer a more realistic representation of market movements, see Kou (2002). Furthermore, methods to compute implied volatilities are provided for a wide range of option types and custom payoff functions. Classical formulas are implemented for European options in the Black-Scholes model, as is presented in Hull (2022). In the case of Asian options, Malliavin Monte Carlo Greeks are implemented, see Hudde & Rüschendorf (2023), or Lyuu et al. (2019). For American options, the Binomial Tree method is implemented, as is presented in Hull (2022). greeks includes a Shiny app to interactively plot the results.
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