Multilevel Monte Carlo methods for applications in finance

M. Giles, L. Szpruch
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引用次数: 34

Abstract

Since Giles introduced the multilevel Monte Carlo path simulation method [18], there has been rapid development of the technique for a variety of applications in computational finance. This paper surveys the progress so far, highlights the key features in achieving a high rate of multilevel variance convergence, and suggests directions for future research.
多层蒙特卡罗方法在金融中的应用
自Giles引入多层蒙特卡罗路径模拟方法[18]以来,该技术在计算金融中的各种应用得到了迅速发展。本文综述了迄今为止的研究进展,强调了实现高水平方差收敛率的关键特征,并提出了未来的研究方向。
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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