IDEAS home Printed from https://ideas.repec.org/a/rsk/journ0/7960701.html
   My bibliography  Save this article

Pricing American options under irrational behavior in a Markov regime-switching model with a finite-element method

Author

Listed:
  • Mohammad Saber Rohi
  • Saghar Heidari
  • Hossein Azari

Abstract

We study the pricing problem for American options under a regime-switching model with the possibility of a nonoptimal exercise policy (ie, an early or late exercise time), referred to as an irrational strategy. To do so, we consider a Markov-modulated model for the dynamics of the underlying asset (as an alternative to the classical Black– Scholes–Merton model) and an intensity-based model for the irrational strategy, in order to provide more realistic results for American option prices under irrational behavior in real financial markets. By applying a partial differential equation (PDE) approach, the pricing problem for American options under a regime-switching model can be formulated as coupled PDEs. As the numerical procedure to solve the resulting systems of PDEs for this model, we apply a finite-element method to the resulting variational inequality. This provides us with the benefits of finite-element methods, such as their efficacy, speed and simplicity in dealing with the boundary conditions of problems with quadrature convergence rates. Under some appropriate but straightforward assumptions, we establish the stability of the method and compare its accuracy against some recent works, illustrating the suitability of the proposed model and the accuracy of the applied numerical method for the pricing of American options under a regime-switching model with irrational behaviors.

Suggested Citation

Handle: RePEc:rsk:journ0:7960701
as

Download full text from publisher

File URL: https://www.risk.net/system/files/digital_asset/2025-01/jcf_Heidari_online_early.pdf
Download Restriction: no
---><---

More about this item

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rsk:journ0:7960701. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thomas Paine (email available below). General contact details of provider: https://www.risk.net/journal-of-computational-finance .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.