Valuing American Options by Simulation: A Simple Least-Squares Approach
Francis A Longstaff and
Eduardo S Schwartz
University of California at Los Angeles, Anderson Graduate School of Management from Anderson Graduate School of Management, UCLA
Abstract:
This article presents a simple yet powerful new approach for approximating the value of American options by simulation. The key to this approach is the use of least squares to estimate the conditional expected payoff to the optionholder from continuation. This makes this approach readily applicable in path-dependent and multifactor situations where traditional finite difference techniqes cannot be used. We illustrate this technique with several realistic examples including valuing an option when the underlying asset follows a jump-diffusion process and valuing an American swaption in a 20-factor string model of the term structure.
Date: 2001-05-09
References: Add references at CitEc
Citations: View citations in EconPapers (992)
Downloads: (external link)
https://www.escholarship.org/uc/item/43n1k4jb.pdf;origin=repeccitec (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cdl:anderf:qt43n1k4jb
Access Statistics for this paper
More papers in University of California at Los Angeles, Anderson Graduate School of Management from Anderson Graduate School of Management, UCLA Contact information at EDIRC.
Bibliographic data for series maintained by Lisa Schiff ().