Analytical Solutions of the Black–Scholes Pricing Model for European Option Valuation via a Projected Differential Transformation Method
In this paper, a proposed computational method referred to as Projected Differential Transformation Method (PDTM) resulting from the modification of the classical Differential Transformation Method (DTM) is applied, for the first time, to the Black–Scholes Equation for European Option Valuation. Th...
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doaj-fb090533582a4a6eaea1f90959dda26a2020-11-24T22:49:14ZengMDPI AGEntropy1099-43002015-10-0117117510752110.3390/e17117510e17117510Analytical Solutions of the Black–Scholes Pricing Model for European Option Valuation via a Projected Differential Transformation MethodSunday O. Edeki0Olabisi O. Ugbebor1Enahoro A. Owoloko2Department of Mathematics, Covenant University, Canaanland, Otta, 112103, NigeriaDepartment of Mathematics, Covenant University, Canaanland, Otta, 112103, NigeriaDepartment of Mathematics, Covenant University, Canaanland, Otta, 112103, NigeriaIn this paper, a proposed computational method referred to as Projected Differential Transformation Method (PDTM) resulting from the modification of the classical Differential Transformation Method (DTM) is applied, for the first time, to the Black–Scholes Equation for European Option Valuation. The results obtained converge faster to their associated exact solution form; these easily computed results represent the analytical values of the associated European call options, and the same algorithm can be followed for European put options. It is shown that PDTM is more efficient, reliable and better than the classical DTM and other semi-analytical methods since less computational work is involved. Hence, it is strongly recommended for both linear and nonlinear stochastic differential equations (SDEs) encountered in financial mathematics.http://www.mdpi.com/1099-4300/17/11/7510analytical solutionBlack–Scholes modelprojected differential transform methodoption valuationEuropean optionsstochastic differential equations |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sunday O. Edeki Olabisi O. Ugbebor Enahoro A. Owoloko |
spellingShingle |
Sunday O. Edeki Olabisi O. Ugbebor Enahoro A. Owoloko Analytical Solutions of the Black–Scholes Pricing Model for European Option Valuation via a Projected Differential Transformation Method Entropy analytical solution Black–Scholes model projected differential transform method option valuation European options stochastic differential equations |
author_facet |
Sunday O. Edeki Olabisi O. Ugbebor Enahoro A. Owoloko |
author_sort |
Sunday O. Edeki |
title |
Analytical Solutions of the Black–Scholes Pricing Model for European Option Valuation via a Projected Differential Transformation Method |
title_short |
Analytical Solutions of the Black–Scholes Pricing Model for European Option Valuation via a Projected Differential Transformation Method |
title_full |
Analytical Solutions of the Black–Scholes Pricing Model for European Option Valuation via a Projected Differential Transformation Method |
title_fullStr |
Analytical Solutions of the Black–Scholes Pricing Model for European Option Valuation via a Projected Differential Transformation Method |
title_full_unstemmed |
Analytical Solutions of the Black–Scholes Pricing Model for European Option Valuation via a Projected Differential Transformation Method |
title_sort |
analytical solutions of the black–scholes pricing model for european option valuation via a projected differential transformation method |
publisher |
MDPI AG |
series |
Entropy |
issn |
1099-4300 |
publishDate |
2015-10-01 |
description |
In this paper, a proposed computational method referred to as Projected Differential Transformation Method (PDTM) resulting from the modification of the classical Differential Transformation Method (DTM) is applied, for the first time, to the Black–Scholes Equation for European Option Valuation. The results obtained converge faster to their associated exact solution form; these easily computed results represent the analytical values of the associated European call options, and the same algorithm can be followed for European put options. It is shown that PDTM is more efficient, reliable and better than the classical DTM and other semi-analytical methods since less computational work is involved. Hence, it is strongly recommended for both linear and nonlinear stochastic differential equations (SDEs) encountered in financial mathematics. |
topic |
analytical solution Black–Scholes model projected differential transform method option valuation European options stochastic differential equations |
url |
http://www.mdpi.com/1099-4300/17/11/7510 |
work_keys_str_mv |
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