High-Accurate Numerical Schemes for Black–Scholes Models with Sensitivity Analysis
The significance of both the linear and nonlinear Black-Scholes partial differential equation model is huge in the field of financial analysis. In most cases, the exact solution to such a nonlinear problem is very hard to obtain, and in some cases, it is impossible to get an exact solution to such m...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2022/4488082 |
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| author | Samir Kumar Bhowmik Jakobin Alam Khan |
| author_facet | Samir Kumar Bhowmik Jakobin Alam Khan |
| author_sort | Samir Kumar Bhowmik |
| collection | DOAJ |
| description | The significance of both the linear and nonlinear Black-Scholes partial differential equation model is huge in the field of financial analysis. In most cases, the exact solution to such a nonlinear problem is very hard to obtain, and in some cases, it is impossible to get an exact solution to such models. In this study, both the linear and the nonlinear Black-Scholes models are investigated. This research mainly focuses on the numerical approximations of the Black-Scholes (BS) model with sensitivity analysis of the parameters. It is to note that most applied researchers use finite difference and finite element-based schemes to approximate the BS model. Thus, an urge for a high accurate numerical scheme that needs fewer grids/nodes is huge. In this study, we aim to approximate and analyze the models using two such higher-order schemes. To be specific, the Chebyshev spectral method and the differential quadrature method are employed to approximate the BS models to see the efficiency of such highly accurate schemes for the option pricing model. First, we approximate the model using the mentioned methods. Then, we move on to use the numerical results to analyze different aspects of stock market through sensitivity analysis. All the numerical schemes have been illustrated through some graphics and relevant discussions. We finish the study with some concluding remarks. |
| format | Article |
| id | doaj-art-27e34cfaefe54c00807a52b5a4b0683d |
| institution | Kabale University |
| issn | 2314-4785 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Mathematics |
| spelling | doaj-art-27e34cfaefe54c00807a52b5a4b0683d2025-02-03T05:50:38ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/4488082High-Accurate Numerical Schemes for Black–Scholes Models with Sensitivity AnalysisSamir Kumar Bhowmik0Jakobin Alam Khan1Department of MathematicsDepartment of MathematicsThe significance of both the linear and nonlinear Black-Scholes partial differential equation model is huge in the field of financial analysis. In most cases, the exact solution to such a nonlinear problem is very hard to obtain, and in some cases, it is impossible to get an exact solution to such models. In this study, both the linear and the nonlinear Black-Scholes models are investigated. This research mainly focuses on the numerical approximations of the Black-Scholes (BS) model with sensitivity analysis of the parameters. It is to note that most applied researchers use finite difference and finite element-based schemes to approximate the BS model. Thus, an urge for a high accurate numerical scheme that needs fewer grids/nodes is huge. In this study, we aim to approximate and analyze the models using two such higher-order schemes. To be specific, the Chebyshev spectral method and the differential quadrature method are employed to approximate the BS models to see the efficiency of such highly accurate schemes for the option pricing model. First, we approximate the model using the mentioned methods. Then, we move on to use the numerical results to analyze different aspects of stock market through sensitivity analysis. All the numerical schemes have been illustrated through some graphics and relevant discussions. We finish the study with some concluding remarks.http://dx.doi.org/10.1155/2022/4488082 |
| spellingShingle | Samir Kumar Bhowmik Jakobin Alam Khan High-Accurate Numerical Schemes for Black–Scholes Models with Sensitivity Analysis Journal of Mathematics |
| title | High-Accurate Numerical Schemes for Black–Scholes Models with Sensitivity Analysis |
| title_full | High-Accurate Numerical Schemes for Black–Scholes Models with Sensitivity Analysis |
| title_fullStr | High-Accurate Numerical Schemes for Black–Scholes Models with Sensitivity Analysis |
| title_full_unstemmed | High-Accurate Numerical Schemes for Black–Scholes Models with Sensitivity Analysis |
| title_short | High-Accurate Numerical Schemes for Black–Scholes Models with Sensitivity Analysis |
| title_sort | high accurate numerical schemes for black scholes models with sensitivity analysis |
| url | http://dx.doi.org/10.1155/2022/4488082 |
| work_keys_str_mv | AT samirkumarbhowmik highaccuratenumericalschemesforblackscholesmodelswithsensitivityanalysis AT jakobinalamkhan highaccuratenumericalschemesforblackscholesmodelswithsensitivityanalysis |