Valuing American Options by Simulation: A Simple Least-Squares Approach
Top Cited Papers
- 1 January 2001
- journal article
- research article
- Published by Oxford University Press (OUP) in The Review of Financial Studies
- Vol. 14 (1) , 113-147
- https://doi.org/10.1093/rfs/14.1.113
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 techniques 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.Keywords
All Related Versions
This publication has 28 references indexed in Scilit:
- The Dynamics of the Forward Interest Rate Curve with Stochastic String ShocksThe Review of Financial Studies, 2001
- The Relative Valuation of Caps and Swaptions: Theory and Empirical EvidenceSSRN Electronic Journal, 2000
- Throwing Away a Billion Dollars: The Cost of Suboptimal Exercise Strategies in the Swaption MarketSSRN Electronic Journal, 1999
- Randomization and the American PutThe Review of Financial Studies, 1998
- The Term Structure of Interest Rates as a Random FieldSSRN Electronic Journal, 1997
- Enhanced Monte Carlo Estimates for American Option PricesThe Journal of Derivatives, 1997
- Valuation of the early-exercise price for options using simulations and nonparametric regressionInsurance: Mathematics and Economics, 1996
- The Solution and Estimation of Discrete Choice Dynamic Programming Models by Simulation and Interpolation: Monte Carlo EvidenceThe Review of Economics and Statistics, 1994
- The Pricing of Options and Corporate LiabilitiesJournal of Political Economy, 1973
- Theory of Rational Option PricingThe Bell Journal of Economics and Management Science, 1973