A generic decomposition formula for pricing vanilla options under stochastic volatility models
DOI10.1155/2015/103647zbMath1337.60155arXiv1503.08119OpenAlexW1578126880WikidataQ59111170 ScholiaQ59111170MaRDI QIDQ274843
Publication date: 25 April 2016
Published in: International Journal of Stochastic Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1503.08119
functional Itô calculusMalliavin derivativedecomposition formulastochastic volatility diffusion modelvanilla options
Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Applications of stochastic analysis (to PDEs, etc.) (60H30) Diffusion processes (60J60) Financial applications of other theories (91G80) Stochastic integrals (60H05) Stochastic calculus of variations and the Malliavin calculus (60H07)
Related Items (4)
Cites Work
- Unnamed Item
- Unnamed Item
- Analytically tractable stochastic stock price models.
- A functional extension of the Ito formula
- A generalization of the Hull and White formula with applications to option pricing approximation
- Change of variable formulas for non-anticipative functionals on path space
- A decomposition formula for option prices in the Heston model and applications to option pricing approximation
- Functional Itō calculus and stochastic integral representation of martingales
- On the short-time behavior of the implied volatility for jump-diffusion models with stochastic volatility
- The Malliavin Calculus and Related Topics
- OPTION HEDGING AND IMPLIED VOLATILITIES IN A STOCHASTIC VOLATILITY MODEL
- A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options
This page was built for publication: A generic decomposition formula for pricing vanilla options under stochastic volatility models