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Solving Black–Scholes equations using fractional generalized homotopy analysis method
This paper aims to solve the Black–Scholes (B–S) model for the European options pricing problem using a hybrid method called fractional generalized homotopy analysis method (FGHAM). The convergence region of the B–S model solutions are clearly identified using h-curve and the closed form series solu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7471595/ http://dx.doi.org/10.1007/s40314-020-01306-4 |
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author | Saratha, S. R. Sai Sundara Krishnan, G. Bagyalakshmi, M. Lim, Chee Peng |
author_facet | Saratha, S. R. Sai Sundara Krishnan, G. Bagyalakshmi, M. Lim, Chee Peng |
author_sort | Saratha, S. R. |
collection | PubMed |
description | This paper aims to solve the Black–Scholes (B–S) model for the European options pricing problem using a hybrid method called fractional generalized homotopy analysis method (FGHAM). The convergence region of the B–S model solutions are clearly identified using h-curve and the closed form series solutions are produced using FGHAM. To verify the convergence of the proposed series solutions, sequence of errors are obtained by estimating the deviation between the exact solution and the series solution, which is increased in number of terms in the series. The convergence of sequence of errors is verified using the convergence criteria and the results are graphically illustrated. Moreover, the FGHAM approach has overcome the difficulties of applying multiple integration and differentiation procedures while obtaining the solution using well-established methods such as homotopy analysis method and homotopy perturbation method. The computational efficiency of the proposed method is analyzed using a comparative study. The advantage of the proposed method is shown with a numerical example using the comparative study between FGHAM and Monte Carlo simulation. Using the numerical example, analytical expression for the implied volatility is derived and the non-local behavior is studied for the various values of the fractional parameter. The results of FGHAM are statistically validated with the exact solution and the other existing computational methods. |
format | Online Article Text |
id | pubmed-7471595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-74715952020-09-04 Solving Black–Scholes equations using fractional generalized homotopy analysis method Saratha, S. R. Sai Sundara Krishnan, G. Bagyalakshmi, M. Lim, Chee Peng Comp. Appl. Math. Article This paper aims to solve the Black–Scholes (B–S) model for the European options pricing problem using a hybrid method called fractional generalized homotopy analysis method (FGHAM). The convergence region of the B–S model solutions are clearly identified using h-curve and the closed form series solutions are produced using FGHAM. To verify the convergence of the proposed series solutions, sequence of errors are obtained by estimating the deviation between the exact solution and the series solution, which is increased in number of terms in the series. The convergence of sequence of errors is verified using the convergence criteria and the results are graphically illustrated. Moreover, the FGHAM approach has overcome the difficulties of applying multiple integration and differentiation procedures while obtaining the solution using well-established methods such as homotopy analysis method and homotopy perturbation method. The computational efficiency of the proposed method is analyzed using a comparative study. The advantage of the proposed method is shown with a numerical example using the comparative study between FGHAM and Monte Carlo simulation. Using the numerical example, analytical expression for the implied volatility is derived and the non-local behavior is studied for the various values of the fractional parameter. The results of FGHAM are statistically validated with the exact solution and the other existing computational methods. Springer International Publishing 2020-09-04 2020 /pmc/articles/PMC7471595/ http://dx.doi.org/10.1007/s40314-020-01306-4 Text en © SBMAC - Sociedade Brasileira de Matemática Aplicada e Computacional 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Saratha, S. R. Sai Sundara Krishnan, G. Bagyalakshmi, M. Lim, Chee Peng Solving Black–Scholes equations using fractional generalized homotopy analysis method |
title | Solving Black–Scholes equations using fractional generalized homotopy analysis method |
title_full | Solving Black–Scholes equations using fractional generalized homotopy analysis method |
title_fullStr | Solving Black–Scholes equations using fractional generalized homotopy analysis method |
title_full_unstemmed | Solving Black–Scholes equations using fractional generalized homotopy analysis method |
title_short | Solving Black–Scholes equations using fractional generalized homotopy analysis method |
title_sort | solving black–scholes equations using fractional generalized homotopy analysis method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7471595/ http://dx.doi.org/10.1007/s40314-020-01306-4 |
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