Application Fuzzy Simulation to Evaluate Option

Article Preview

Abstract:

The current work attempts to evaluate the option from a novel perspective, fuzzy simulation technique, one of the evolutionary computational approaches. This paper proposes a random fuzzy jump-diffusion option pricing model, where the volatility and the jumps intensity are depicted as fuzzy variables, respectively. Fuzzy simulation technique is designed to estimate the membership degree and the expected value of the option. The rough figures of the expected value of option can be obtained. Finally, the application of the methodology is demonstrated by a numerical example.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

802-805

Citation:

Online since:

February 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Liu Baoding, Liu Yankui. Expected value of fuzzy variable and fuzzy expected value models. IEEE Transactions on Fuzzy Systems, 2002, 10: 445-450.

DOI: 10.1109/tfuzz.2002.800692

Google Scholar

[2] Liu Baoding. Fuzzy process, hybrid process and uncertain process. Journal of Uncertain Systems, 2008, 2: 3-16.

Google Scholar

[3] Qin Zhongfen, Li Xiang. Option pricing formula for fuzzy financial market. Journal of Uncertain Systems, 2008, 2: 17-21.

Google Scholar

[4] Peng Jin. A general stock model for fuzzy markets, Journal of Uncertain Systems, (2008).

Google Scholar

[2] 248-254. Engineering Fuzzy Information and Engineering.

Google Scholar

[5] Shu-xia Liu and Yi Chen, application of fuzzy theory to binomial option pricing model, Advances in Soft Computing, 2009, Volume 54/2009, 63-70.

DOI: 10.1007/978-3-540-88914-4_9

Google Scholar

[6] Wu H. Using fuzzy sets theory and Black-Scholes formula to generate pricing boundaries of European options. Applied Mathematics and Computation, 2007, 185: 136-146.

DOI: 10.1016/j.amc.2006.07.015

Google Scholar

[7] Liu Fan Yong. Pricing currency options based on fuzzy techniques, European Journal of operational Research, 2007, 10: 1-11.

Google Scholar

[8] Konstantinos A, Chrysafis, Basil K. On theoretical pricing of options with fuzzy estimators, Journal of Computational and Applied Mathematics, 2007, 12: 1-25.

Google Scholar