CAM Stochastic Volatility Model for Option Pricing

Joint Authors

Huang, Wanwan
Ewald, Brian
Ökten, Giray

Source

Mathematical Problems in Engineering

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-05-08

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Civil Engineering

Abstract EN

The coupled additive and multiplicative (CAM) noises model is a stochastic volatility model for derivative pricing.

Unlike the other stochastic volatility models in the literature, the CAM model uses two Brownian motions, one multiplicative and one additive, to model the volatility process.

We provide empirical evidence that suggests a nontrivial relationship between the kurtosis and skewness of asset prices and that the CAM model is able to capture this relationship, whereas the traditional stochastic volatility models cannot.

We introduce a control variate method and Monte Carlo estimators for some of the sensitivities (Greeks) of the model.

We also derive an approximation for the characteristic function of the model.

American Psychological Association (APA)

Huang, Wanwan& Ewald, Brian& Ökten, Giray. 2016. CAM Stochastic Volatility Model for Option Pricing. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1112331

Modern Language Association (MLA)

Huang, Wanwan…[et al.]. CAM Stochastic Volatility Model for Option Pricing. Mathematical Problems in Engineering No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1112331

American Medical Association (AMA)

Huang, Wanwan& Ewald, Brian& Ökten, Giray. CAM Stochastic Volatility Model for Option Pricing. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1112331

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1112331