Abstract
In this study, we explore the valuation challenge posed by American options subject to regime switching, utilizing a model defined by a complex system of parabolic variational inequalities within an infinite domain. The initial pricing model is transformed into a linear complementarity problem (LCP) in a bounded rectangular domain, achieved through the application of a priori estimations and the introduction of an appropriate artificial boundary condition. To discretize the LCP, we employ a finite difference method (FDM), and address the resulting discretized system using a primal-dual active set (PDAS) strategy. The PDAS approach is particularly advantageous for its ability to concurrently determine the option’s price and the optimal exercise boundary. This paper conducts an extensive convergence analysis, evaluating both the truncation error associated with the FDM and the iteration error of the PDAS. Comprehensive numerical simulations are performed to validate the method’s accuracy and efficiency, underscoring its significant potential for application in the field of financial mathematics.
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Acknowledgements
All authors would like to thank the reviewers for their valuable comments and suggestions, which significantly contributed to the improvement of this manuscript. The work of H. Song was supported by the National Key Research and Development Program of China under Grant No.2020YFA0713602, the NSF of Jilin Province under Grant No.20200201269JC, and the Fundamental Research Funds for the Central Universities. The work of Y. Li was supported by the Shenzhen Science and Technology Program under Grant No. 20220816165920001, and the Chinese University of Hong Kong, Shenzhen under Grant No. PF01000861.
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Appendices
Proof of Lemma 5
Proof
It is evident that \(\lambda _{i,q} \ge 1\). The Taylor expansion gives
Hence, there exists a constant \(\varrho >0\) such that the equation \(\min \{\lambda _{1,q},\lambda _{2,q}\} \le 1+\varrho \) holds when \(\Delta \tau \) and \(\Delta x\) are sufficiently small. On one hand, if \(\frac{1+\beta \Delta \tau }{\min \{\lambda _{1,q},\lambda _{2,q}\}}\ge 1\), we have
On the other hand, if \(\frac{1+\beta \tau }{\min \{\lambda _{1,q},\lambda _{2,q}\}}< 1\), we can get
Therefore, we conclude that
\(\square \)
Proof of Lemma 6
Proof
Replacing the variable W in (12) with w, we get
Moreover, making use of the Taylor expansions of \(w^{m}_{i,j}\), \(w^{m+1}_{i,j+1}\) and \(w_{i,j-1}^{m+1}\) at the point \((x_{j},\tau _{m+1})\), we obtain
Hence, for the regime 1, we have
Since \(a_{12}e^{(\xi \tau _{m}+\eta x_j)}\) is bounded, applying the Taylor expansion to \(w_2^{m+1}e^{\xi \Delta \tau }-w_2\) yields
Applying the boundedness of \(w_2\) and \(\dfrac{\partial w_2}{\partial \tau }\), then for (28), we have
By a similar manner for regime 2, we can also conclude that
This completes the proof. \(\square \)
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Wen, X., Song, H., Li, Y. et al. A primal-dual active set approach to the valuation of American options in regime-switching models: numerical solutions and convergence analysis. Comp. Appl. Math. 43, 345 (2024). https://doi.org/10.1007/s40314-024-02862-9
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DOI: https://doi.org/10.1007/s40314-024-02862-9