Option Pricing Under Incompleteness and Stochastic Volatility
- 1 July 1992
- journal article
- Published by Wiley in Mathematical Finance
- Vol. 2 (3) , 153-187
- https://doi.org/10.1111/j.1467-9965.1992.tb00027.x
Abstract
We consider a very general diffusion model for asset prices which allows the description of stochastic and past‐dependent volatilities. Since this model typically yields an incomplete market, we show that for the purpose of pricing options, a small investor should use the minimal equivalent martingale measure associated to the underlying stock price process. Then we present stochastic numerical methods permitting the explicit computation of option prices and hedging strategies, and we illustrate our approach by specific examples.Keywords
This publication has 27 references indexed in Scilit:
- The approximation of multiple stochastic integralsStochastic Analysis and Applications, 1992
- Diffusion Approximation in Past Dependent Models and Applications to Option PricingThe Annals of Applied Probability, 1991
- Time Discrete Taylor Approximations for Itǒ Processes with Jump ComponentMathematische Nachrichten, 1988
- Option values under stochastic volatility: Theory and empirical estimatesJournal of Financial Economics, 1987
- Option Pricing when the Variance Changes Randomly: Theory, Estimation, and an ApplicationJournal of Financial and Quantitative Analysis, 1987
- The Pricing of Options on Assets with Stochastic VolatilitiesThe Journal of Finance, 1987
- Option Pricing when the Variance is ChangingJournal of Financial and Quantitative Analysis, 1987
- An asymptotically efficient difference formula for solving stochastic differential equationsStochastics, 1986
- The Pricing of Options and Corporate LiabilitiesJournal of Political Economy, 1973
- Lifetime Portfolio Selection under Uncertainty: The Continuous-Time CaseThe Review of Economics and Statistics, 1969