Abstract
We propose a method for approximating equivalent local volatility functions of stochastic volatility models. Enlightened by the theory of generalized Wiener functionals proposed by Watanabe and Yoshida (1987, 1992), our key technique is to propose a closed-form expansion of conditional expectations involving marginal distributions generated by stochastic differential equations. A numerical test and an illustration of application are provided to demonstrate the efficiency of our approach.
Publisher
Cambridge University Press (CUP)
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Statistics, Probability and Uncertainty,Statistics and Probability
Reference48 articles.
1. Asymptotic expansions of maximum likelihood estimators for small diffusions via the theory of Malliavin-Watanabe
2. Reconstructing volatility;Avellaneda;RISK,2002
3. Markovian projection onto a Heston model
4. Managing smile risk;Hagan;Wilmott Magazine,2002
5. Henry-Labordere P. (2005). A general asymptotic implied volatility for stochastic volatility models. SSRN eLibrary: http://ssrn.com/abstract=698601.
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献