An Efficient Hybrid Penalty Method for Pricing American Options

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초록

We propose a hybrid numerical method for computing the prices of American options. In order to solve efficiently and accurately the linear complementarity problem arising in the valuation of American options, the proposed method initially applies the penalty method to annihilate the nonlinear error from the free boundary, then performs the theta-method with projection to solve the rest of the problem quickly. Numerical computations show that the proposed hybrid method is more efficient than other existing methods for a given level of accuracy.

키워드

American Option PricingPenalty MethodLinear Complementarity ProblemHybrid MethodOPERATOR SPLITTING METHODSPOLICY ITERATION
제목
An Efficient Hybrid Penalty Method for Pricing American Options
저자
Kim, HongjoongOh, TaeyoungMoon, Kyoung-Sook
DOI
10.7232/iems.2017.16.2.224
발행일
2017-06
유형
Article
저널명
Industrial Engineering & Management Systems
16
2
페이지
224 ~ 233