A Generic Decomposition Formula for Pricing Vanilla Options under Stochastic Volatility Models

Raúl Merino & Josep Vives

International Journal of Stochastic Analysis2015https://doi.org/10.1155/2015/103647article
ABDC B
Weight
0.41

Abstract

We obtain a decomposition of the call option price for a very general stochastic volatility diffusion model, extending a previous decomposition formula for the Heston model. We realize that a new term arises when the stock price does not follow an exponential model. The techniques used for this purpose are nonanticipative. In particular, we also see that equivalent results can be obtained by using Functional Itô Calculus. Using the same generalizing ideas, we also extend to nonexponential models the alternative call option price decomposition formula written in terms of the Malliavin derivative of the volatility process. Finally, we give a general expression for the derivative of the implied volatility under both the anticipative and the nonanticipative cases.

6 citations

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1155/2015/103647

Or copy a formatted citation

@article{raúl2015,
  title        = {{A Generic Decomposition Formula for Pricing Vanilla Options under Stochastic Volatility Models}},
  author       = {Raúl Merino & Josep Vives},
  journal      = {International Journal of Stochastic Analysis},
  year         = {2015},
  doi          = {https://doi.org/https://doi.org/10.1155/2015/103647},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

A Generic Decomposition Formula for Pricing Vanilla Options under Stochastic Volatility Models

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.17 × 0.4 = 0.07
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.