International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
•
Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
Conferences Published ↓
DePaul-2026
IC-AIRCM-T3-2026
SPHERE-2025
AIMAR-2025
SVGASCA-2025
ICCE-2025
Chinai-2023
PIPRDA-2023
ICMRS'23
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 8 Issue 3
May-June 2026
Indexing Partners
Simulation of Market Memory Based on Black-Scholes using Fractional Calculus
| Author(s) | Dr. HETAL CHOKSI, Dr. KAUSHAL B. PATEL |
|---|---|
| Country | India |
| Abstract | Abstract— This study presents a fractional extension of the classical Black-Scholes model to capture memory effects and anomalous dynamics in financial markets. Traditional option pricing models, such as the Black-Scholes equation, assume Markovian behavior and constant volatility, which often fail to reflect empirical characteristics like long memory, volatility clustering, and non-Gaussian returns. To address these limitations, we incorporate fractional calculus into the Black-Scholes framework by replacing the classical time derivative with a fractional derivative of order α ∈ (0, 1]. This transformation yields the time-fractional Black-Scholes equation, which introduces non-local temporal dynamics and more accurately models the influence of past events on current option values. To solve the resulting fractional partial differential equation, we employ a spline collocation method, leveraging the smoothness and accuracy of cubic spline basis functions for spatial discretization. The Caputo derivative is approximated using a finite difference scheme that captures the memory effect inherent in fractional systems. Numerical simulations are performed to analyze the effect of varying the fractional order α, with results demonstrating that smaller values of α increase the model’s ability to reflect real-world market behavior. The integration of fractional calculus and spline methods offers a robust framework for simulating market memory in option pricing. The proposed approach enhances the descriptive power of financial models and provides a more realistic valuation of derivatives under non-Markovian dynamics. |
| Keywords | Fractional calculus, Caputo derivative, Option pricing, Market memory, Black-Scholes model, Spline method. |
| Field | Mathematics |
| Published In | Volume 8, Issue 1, January-February 2026 |
| Published On | 2026-01-17 |
| DOI | https://doi.org/10.36948/ijfmr.2026.v08i01.66437 |
Share this

E-ISSN 2582-2160
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.
Powered by Sky Research Publication and Journals