Stability and Convergence Analysis of a Numerical Method for Solving a $$\zeta$$ ζ -Caputo Time Fractional Black–Scholes Model via European Options
Feten Maddouri ()
Additional contact information
Feten Maddouri: Université de la Manouba
Computational Economics, 2025, vol. 65, issue 6, No 12, 3419-3446
Abstract:
Abstract In this paper, a new $$\zeta$$ ζ -Caputo Fractional Derivative Black-Scholes Model via European Options (CFBSM) has been studied. Moreover, we have proposed a new Numerical Implicit Scheme (NIS) for solving the CFBSM. Also, we studied the stability and the convergence of the NIS. Finally, some numerical experiments are given to compare and show the efficiency of the NIS to other numerical methods for solving fractional Black-Scholes (BS) model. Moreover, by those experiments, we proved the efficiency and the advantages of the CFBSM versus the classical integer-order derivative BS model via European Options.
Keywords: Caputo fractional derivative; Black–Scholes model; European options; Finite difference scheme; Numerical method; stability; convergence.; 26A33; 65M06; 65M15; 65M22; 65N12. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10614-024-10678-2 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:65:y:2025:i:6:d:10.1007_s10614-024-10678-2
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2
DOI: 10.1007/s10614-024-10678-2
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 ().