EconPapers    
Economics at your fingertips  
 

Coupling Technique of Haar Wavelet Transform and Variational Iteration Method for a Nonlinear Option Pricing Model

Ruyi Xing, Meng Liu, Kexin Meng and Shuli Mei
Additional contact information
Ruyi Xing: Education Technology Center, Hebei University of Engineering, Handan 056038, China
Meng Liu: College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
Kexin Meng: College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
Shuli Mei: College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China

Mathematics, 2021, vol. 9, issue 14, 1-15

Abstract: Compared with the linear Black–Scholes model, nonlinear models are constructed through taking account of more practical factors, such as transaction cost, and so it is difficult to find an exact analytical solution. Combining the Haar wavelet integration method, which can transform the partial differential equation into the system of algebraic equations, the homotopy perturbation method, which can linearize the nonlinear problems, and the variational iteration method, which can solve the large system of algebraic equations efficiently, a novel numerical method for the nonlinear Black–Scholes model is proposed in this paper. Compared with the traditional methods, it has higher efficiency and calculation precision.

Keywords: Haar wavelet; homotopy perturbation method; variational iteration method; Black–Scholes model (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/9/14/1642/pdf (application/pdf)
https://www.mdpi.com/2227-7390/9/14/1642/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:9:y:2021:i:14:p:1642-:d:593175

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jmathe:v:9:y:2021:i:14:p:1642-:d:593175