Exact simulation scheme for the Ornstein-Uhlenbeck driven stochastic volatility model with the Karhunen-Loève expansions

Jaehyuk Choi
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Abstract

This study proposes a new exact simulation scheme of the Ornstein-Uhlenbeck driven stochastic volatility model. With the Karhunen-Lo\`eve expansions, the stochastic volatility path following the Ornstein-Uhlenbeck process is expressed as a sine series, and the time integrals of volatility and variance are analytically derived as the sums of independent normal random variates. The new method is several hundred times faster than Li and Wu [Eur. J. Oper. Res., 2019, 275(2), 768-779] that relies on computationally expensive numerical transform inversion. The simulation algorithm is further improved with the conditional Monte-Carlo method and the martingale-preserving control variate on the spot price.
采用卡胡宁-洛埃夫扩展的奥恩斯坦-乌伦贝克驱动随机波动模型的精确模拟方案
本研究提出了一种新的奥恩斯坦-乌伦贝克驱动随机波动率模型精确模拟方案。通过卡胡宁-洛夫展开,Ornstein-Uhlenbeck 过程的随机波动率路径被表达为正弦序列,波动率和方差的时间积分被解析为独立正态随机变量之和。新方法比李和吴[Eur. J. Oper. Res., 2019, 275(2), 768-779]的方法快几百倍,后者依赖于计算昂贵的数值变换反演。利用条件蒙特卡洛法和现货价格的马氏保值控制变量,进一步改进了模拟算法。
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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