On the Pricing and Optimal Exercise Boundary of American Options under the HJB Framework

In mathematical finance, the efficient valuation of American-style contracts is of great importance, as well as their exercise boundaries. This paper presents an alternative framework for the solution of the American put option under a finite element framework. An implicit time-stepping method is applied for the temporal discretization, while in space, we provide a non-uniform finite element mesh. The nonlinearity associated with early exercise is represented as an HJB PDE, which is solved by policy iteration at each time grid. Numerical experiments are validated within the benchmarking range. Moreover, optimal exercise boundaries are concurrently computed with the price of the option. We also benchmark the finite element results against finite difference and least-squares Monte Carlo methods, which demonstrates the effectiveness of the approach.

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Publication Details

Journal
New Mathematics and Natural Computation
Published
2026-11-11
DOI
https://doi.org/10.1142/s1793005729500257
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
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article

On the Pricing and Optimal Exercise Boundary of American Options under the HJB Framework

Rakhymzhan Kazbek, Assel Abdilazim, Aidana Abdukarimova
New Mathematics and Natural Computation
Stochastic processes and financial applications
article

On the Pricing and Optimal Exercise Boundary of American Options under the HJB Framework

Rakhymzhan Kazbek, Assel Abdilazim, Aidana Abdukarimova
article en

Abstract

In mathematical finance, the efficient valuation of American-style contracts is of great importance, as well as their exercise boundaries. This paper presents an alternative framework for the solution of the American put option under a finite element framework. An implicit time-stepping method is applied for the temporal discretization, while in space, we provide a non-uniform finite element mesh. The nonlinearity associated with early exercise is represented as an HJB PDE, which is solved by policy iteration at each time grid. Numerical experiments are validated within the benchmarking range. Moreover, optimal exercise boundaries are concurrently computed with the price of the option. We also benchmark the finite element results against finite difference and least-squares Monte Carlo methods, which demonstrates the effectiveness of the approach.

New Mathematics and Natural Computation
Astana IT University (KZ), Umeå University (SE)
Stochastic processes and financial applications
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