EconPapers    
Economics at your fingertips  
 

Multiple Shooting Method for Solving Black–Scholes Equation

Somayeh Abdi-Mazraeh (), Ali Khani () and Safar Irandoust-Pakchin ()
Additional contact information
Somayeh Abdi-Mazraeh: Azarbaijan Shahid Madani University
Ali Khani: Azarbaijan Shahid Madani University
Safar Irandoust-Pakchin: University of Tabriz

Computational Economics, 2020, vol. 56, issue 4, No 3, 723-746

Abstract: Abstract In this paper, the Black–Scholes (B–S) model for the pricing of the European and the barrier call options are considered, which yields a partial differential problem. First, A numerical technique based on Crank–Nicolson (C–N) method is used to discretisize the time domain. Consequently, the partial differential equation will be converted to a system of an ordinary differential equation (ODE). Then, the multiple shooting method combined with Lagrange polynomials is utilized to solve the ODEs. Regarding the convergence order of the approximate solution which normally decreases due to the non-smooth properties of the option’s payoff (at the strike price), in this study, the equipped C–N scheme with variable step size strategy is applied for the time discretization. As a result, the variable step size strategy prevents the error propagation by controlling the error at each time step and increases the computational speed by raising the step size in the smooth points of the domain. In order to implement the variable step size, an algorithm is presented. In addition, the stability of the presented method is analyzed. The extracted numerical results represent the accuracy and efficiency of the proposed method.

Keywords: Black–Scholes equation; Multiple shooting method; Crank–Nicolson method; Option pricing; Variable step size (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s10614-019-09940-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:kap:compec:v:56:y:2020:i:4:d:10.1007_s10614-019-09940-9

Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2

DOI: 10.1007/s10614-019-09940-9

Access Statistics for this article

Computational Economics is currently edited by Hans Amman

More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:kap:compec:v:56:y:2020:i:4:d:10.1007_s10614-019-09940-9