141
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Pricing Perpetual American Compound Options under a Matrix-Exponential Jump-Diffusion Model

, &
Pages 553-575 | Received 08 Oct 2013, Accepted 19 Oct 2015, Published online: 10 Dec 2015
 

ABSTRACT

This paper considers the problem of pricing perpetual American compound options under a matrix-exponential jump-diffusion model. The rational prices of these options are defined as the value functions of the corresponding optimal stopping problems. The general optimal stopping theory and the averaging method for solving the optimal stopping problems are applied to find the value functions and the optimal stopping times and thereby to determine the rational prices and the optimal boundaries of these perpetual American compound options. Explicit formulae for the rational prices and the optimal boundaries are also obtained for hyper-exponential jump-diffusion models.

Acknowledgments

The authors would like to thank National Center for Theoretical Sciences (NCTS), Institute of Mathematical Modeling and Scientific Computation (MMSC) and the National Science Council, Taiwan, for financially supporting this research under the contract number: Most 103-2115-M-009-009. Ted Knoy is appreciated for his editorial assistance.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 616.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.