On Pricing American Put Option on a Fixed Term: A Monte Carlo Approach

IF 0.5 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Perpetual Andam Boiquaye
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Abstract

This paper focuses primarily on pricing an American put option with a fixed term where the price process is geometric mean-reverting. The change of measure is assumed to be incorporated. Monte Carlo simulation was used to calculate the price of the option and the results obtained were analyzed. The option price was found to be $94.42 and the optimal stopping time was approximately one year after the option was sold which means that exercising early is the best for an American put option on a fixed term. Also, the seller of the put option should have sold $0.01 assets and bought $95.51 bonds to get the same payoff as the buyer at the end of one year for it to be a zero-sum game. In the simulation study, the parameters were varied to see the influence it had on the option price and the stopping time and it showed that it either increases or decreases the value of the option price and the optimal stopping time or it remained unchanged.
固定期限美式看跌期权定价:蒙特卡洛方法
本文主要研究具有固定期限的美式看跌期权的定价过程,其价格过程是几何均值回归的。度量的变化被认为是合并的。采用蒙特卡罗模拟方法对期权价格进行了计算,并对计算结果进行了分析。期权价格为94.42美元,最优止损时间约为期权卖出后一年,这意味着对于固定期限美式看跌期权,提前行使是最好的。此外,看跌期权的卖方应该卖出0.01美元的资产,买入95.51美元的债券,以便在一年后获得与买方相同的收益,因为这是一个零和游戏。在模拟研究中,通过改变参数来观察其对期权价格和最优停止时间的影响,结果表明,该参数或增加或减少期权价格和最优停止时间的值,或保持不变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in Data Science and Adaptive Analysis
Advances in Data Science and Adaptive Analysis MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
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