Academic Journal

American Option Valuation Under the Framework of CGMY Model with Regime-Switching Process.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: American Option Valuation Under the Framework of CGMY Model with Regime-Switching Process.
Συγγραφείς: Fan, Congyin, Gu, Xian-Ming, Dong, Shuhong, Yuan, Hua
Πηγή: Computational Economics; Aug2025, Vol. 66 Issue 2, p1455-1479, 25p
Θεματικοί όροι: Finite difference method, Fractional differential equations, Derivative securities, Numerical calculations, Stochastic processes, Boundary value problems
Περίληψη: In this paper, the values and optimal exercise prices of American option under the CGMY model with regime-switching process are considered. For this case, the pricing mathematical model is a free boundary problem which includes d coupled fractional partial differential equations (PDEs) in one dimension with free boundary conditions, d denoting the number of regimes of financial market. The above problem is changed as a fixed one by adding a nonlinear penalty term to each fractional PDE. After the finite difference method is set to solve the transformed model, unlike the conventional method, the discretized coupling system is reformulated by expanding dimensions such that numerical results in all states can be calculated simultaneously. Finally, significant effects of the parameters in our model on the option exercise price are verified through our selected numerical results. Meanwhile, the curves of Delta and Gamma are reported to show feasibility of our model and the proposed numerical method. [ABSTRACT FROM AUTHOR]
Copyright of Computational Economics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  – Url: https://dx.doi.org/doi:10.1007/s10614-024-10734-x
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  Data: American Option Valuation Under the Framework of CGMY Model with Regime-Switching Process.
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  Data: Computational Economics; Aug2025, Vol. 66 Issue 2, p1455-1479, 25p
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  Data: <searchLink fieldCode="DE" term="%22Finite+difference+method%22">Finite difference method</searchLink><br /><searchLink fieldCode="DE" term="%22Fractional+differential+equations%22">Fractional differential equations</searchLink><br /><searchLink fieldCode="DE" term="%22Derivative+securities%22">Derivative securities</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+calculations%22">Numerical calculations</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+processes%22">Stochastic processes</searchLink><br /><searchLink fieldCode="DE" term="%22Boundary+value+problems%22">Boundary value problems</searchLink>
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  Label: Abstract
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  Data: In this paper, the values and optimal exercise prices of American option under the CGMY model with regime-switching process are considered. For this case, the pricing mathematical model is a free boundary problem which includes d coupled fractional partial differential equations (PDEs) in one dimension with free boundary conditions, d denoting the number of regimes of financial market. The above problem is changed as a fixed one by adding a nonlinear penalty term to each fractional PDE. After the finite difference method is set to solve the transformed model, unlike the conventional method, the discretized coupling system is reformulated by expanding dimensions such that numerical results in all states can be calculated simultaneously. Finally, significant effects of the parameters in our model on the option exercise price are verified through our selected numerical results. Meanwhile, the curves of Delta and Gamma are reported to show feasibility of our model and the proposed numerical method. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Computational Economics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10614-024-10734-x
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        Text: English
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              M: 08
              Text: Aug2025
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