Homotopy analysis method and its applications in the valuation of European call options with time-fractional Black-Scholes equation

Sunday Emmanuel Fadugba

Chaos, Solitons & Fractals, 2020, vol. 141, issue C

Abstract: This paper presents the applications of Homotopy Analysis Method (HAM) in the valuation of a European Call Option (ECO) with Time-Fractional Black-Scholes Equation (TFBSE). The fractional derivative is considered in the sense of Caputo. Also, it is assumed that the stock price pays no dividend and follows the geometric Brownian motion. Based on HAM, a series solution for TFBSE has been obtained successfully. The valuation formula for the price of ECO with fractional order is also obtained. The accuracy, effectiveness and suitability of HAM were tested on two illustrative examples in the context of the Crank Nicolson Method (CRN), Binomial Model (BM) and the Black-Scholes Model (BSM). The comparative study of the results obtained via HAM, CRN, BM and BSM is presented. Furthermore, the physical behaviour of the option prices obtained via HAM has been shown in terms of plots for diverse fractional order. Moreover, HAM is found to be accurate, effective and suitable for the solution of TFBSE. Hence, it can be concluded that HAM converges faster to the analytical solution and is a good alternative tool to determine the price of ECO with fractional order.

Keywords: Call option; European style; Fractional order; Geometric Brownian motion; Homotopy analysis method; Marked point process; Time-fractional Black-Scholes equation (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077920307463
Full text for ScienceDirect subscribers only

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:eee:chsofr:v:141:y:2020:i:c:s0960077920307463

DOI: 10.1016/j.chaos.2020.110351

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().