STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Fuzzy Pricing of European Options Based on Constant Elasticity of Variance Process
DOI: https://doi.org/10.62517/jse.202411229
Author(s)
Mingrui Yang*, Wen Huang, Dongyi Zou
Affiliation(s)
Chongqing Electric Power College, Chongqing, China *Corresponding Author.
Abstract
Based on the assumption that the stock price follows the CEV process, this article uses fuzzy mathematics theory to discuss the price of European options. As the financial market is constantly fluctuating, the parameter of the stock price following the CEV process should not be a constant. Therefore, considering fuzzy interest rates, fuzzy stock prices, and fuzzy initial volatility, under the assumption of fuzzy parameters, the price of the obtained option is a fuzzy number. This article first derives the pricing formula for European options with stock prices following the CEV process. Then, using the theory of fuzzy mathematics, the fuzzy pricing formula for European options with stock prices following the CEV process is derived. In order to consider the membership degree of investors to a certain option price on a fuzzy number, the classic binary method is used to solve the membership degree. It indicates the value of options that investors or stock traders most hope to obtain, and finally uses fuzzy simulation algorithms in a fuzzy environment to calculate the expected value of options under different elasticity factors and iteration steps, and compares the membership degree of option value and make a simple analysis.
Keywords
Fuzzy Number; Dichotomy; Fuzzy Simulation; CEV Process; Fuzzy Random Variable; European Call Option
References
[1] Cox J. Notes on option pricing i: Constant elasticity of diffusions, 1975. Stanford University, 1996. [2] Schroder M. Computing the constant elasticity of variance option pricing formula. The Journal of Finance, 1989, 44(1): 211-219. [3] Zadeh L A. Fuzzy sets as a basis for a theory of possibility. Fuzzy sets and systems, 1978, 1(1): 3-28. [4] Wu H C. Pricing european options based on the fuzzy pattern of black–scholes formula. Computers & Operations Research, 2004, 31(7): 1069-1081. [5] Liu Y K, Liu B. Expected value operator of random fuzzy variable and random fuzzy expected value models. International Journal of uncertainty, fuzziness and knowledge-based systems, 2003, 11(02): 195-215. [6] Liang B S, C D L. Fuzzy Mathematics and Its Application Science Press. China Safety Science Journal, 2007. [7] Hsu Y L, Lin T, Lee C. Constant elasticity of variance (cev) option pricing model: Integration and detailed derivation. Mathematics and Computers in Simulation, 2008, 79(1): 60-71. [8] Emanuel D C, MacBeth J D. Further results on the constant elasticity of variance call option pricing model. Journal of Financial and Quantitative Analysis, 1982, 17(4): 533-554. [9] Musiela. Modifications of the black-scholes model. Martingale Methods in Financial Modelling (1997): 135-158. [10] Dohnal M. Fuzzy simulation of industrial problems. Computers in Industry. 1983 Dec 1; 4(4):347-52.
Copyright @ 2020-2035 STEMM Institute Press All Rights Reserved