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Option Pricing under the Subordinated Market Models
Author(s) -
Longjin Lv,
Changjuan Zheng,
Luna Wang
Publication year - 2022
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2022/6213803
Subject(s) - fractional brownian motion , kurtosis , valuation of options , brownian motion , volatility (finance) , black–scholes model , econometrics , geometric brownian motion , mathematics , diffusion process , economics , computer science , innovation diffusion , statistics , knowledge management
This paper aims to study option pricing problem under the subordinated Brownian motion. Firstly, we prove that the subordinated Brownian motion controlled by the fractional diffusion equation has many financial properties, such as self-similarity, leptokurtic, and long memory, which indicate that the fractional calculus can describe the financial data well. Then, we investigate the option pricing under the assumption that the stock price is driven by the subordinated Brownian motion. The closed-form pricing formula for European options is derived. In the comparison with the classic Black–Sholes model, we find the option prices become higher, and the “volatility smiles” phenomenon happens in the proposed model. Finally, an empirical analysis is performed to show the validity of these results.

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