1. Novel numerical techniques for the finite moment log stable computational model for European call option.
- Author
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An, Xingyu, Liu, Fawang, Chen, Shanzhen, and Anh, Vo V.
- Subjects
OPTIONS (Finance) ,FINITE difference method ,LEVY processes ,TIME-based pricing ,FINANCIAL markets - Abstract
Option pricing models are often used to describe the dynamic characteristics of prices in financial markets. Unlike the classical Black–Scholes (BS) model, the finite moment log stable (FMLS) model can explain large movements of prices during small time steps. In the FMLS, the second‐order spatial derivative of the BS model is replaced by a fractional operator of order α which generates an α‐stable Lévy process. In this paper, we consider the finite difference method to approximate the FMLS model. We present two numerical schemes for this approximation: the implicit numerical scheme and the Crank–Nicolson scheme. We carry out convergence and stability analyses for the proposed schemes. Since the fractional operator routinely generates dense matrices which often require high computational cost and storage memory, we explore three methods for solving the approximation schemes: the Gaussian elimination method, the bi‐conjugate gradient stabilized method (Bi‐CGSTAB) and the fast Bi‐CGSTAB (FBi‐CGSTAB) in order to compare the cost of calculations. Finally, two numerical examples with exact solutions are presented where we also use extrapolation techniques to achieve higher‐order convergence. The results suggest that the proposed schemes are unconditionally stable and convergent, and the FMLS model is useful for pricing options. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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