基于时间齐次扩散的随机波动率模型中的鞅性质

ON THE MARTINGALE PROPERTY IN STOCHASTIC VOLATILITY MODELS BASED ON TIME‐HOMOGENEOUS DIFFUSIONS

Mathematical Finance · 2014
被引 34
ABS 3

中文导读

扩展了Lions和Musiela的充分条件以及Blei等人在完美相关情形下的充要条件,在任意相关情形下给出了时间齐次扩散的积分泛函收敛性质的完整分类,用于验证相关随机波动率模型中股票价格过程的鞅性质。

Abstract

Lions and Musiela give sufficient conditions to verify when a stochastic exponential of a continuous local martingale is a martingale or a uniformly integrable martingale. Blei and Engelbert and Mijatović and Urusov give necessary and sufficient conditions in the case of perfect correlation ( ). For financial applications, such as checking the martingale property of the stock price process in correlated stochastic volatility models, we extend their work to the arbitrary correlation case ( ). We give a complete classification of the convergence properties of both perpetual and capped integral functionals of time‐homogeneous diffusions and generalize results in Mijatović and Urusov with direct proofs avoiding the use of separating times (concept introduced by Cherny and Urusov and extensively used in the proofs of Mijatović and Urusov).

随机波动率鞅理论金融数学随机过程