A multi-dimensional local average lattice method for multi-asset models

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초록

We develop a multi-dimensional local average lattice method in order to compute efficiently and accurately the price of multivariate contingent claims. The proposed method improves the accuracy of the standard lattice method by considering the local averages of option prices around each node at the final time, rather than the prices at the nodes. The average value smooths the oscillatory behavior of the lattice method, which leads to fast convergence of the option values. Numerical computations show that the proposed local average lattice method is more efficient than other lattice methods for a given level of accuracy.

키워드

Lattice methodLocal averageMulti-asset option pricingAmerican optionsC6C61C63BINOMIAL TREE SCHEMECONTINGENT CLAIMSSTATE VARIABLESOPTIONCONVERGENCEAMERICANASYMPTOTICS
제목
A multi-dimensional local average lattice method for multi-asset models
저자
Moon, Kyoung-SookKim, Hongjoong
DOI
10.1080/14697688.2012.744086
발행일
2013-06-01
유형
Article
저널명
Quantitative Finance
13
6
페이지
873 ~ 884