Chakraborty, Debapriti
(2009)
Numerical Study of the Convexity of the Exercise Boundary of the American Put Option on a Dividend-Paying Asset.
Master's Thesis, University of Pittsburgh.
(Unpublished)
Abstract
Numerical evidence is provided to show that the optimal exercise boundary for American put options with continuous dividend rate d is convex for values d less than or equal to r, where r is the risk-free rate. For d greater than r, the boundary is not convex. As d increases beyond r, the non-convex region moves away from expiry and increases in size. A front-fixing method has been used to transform the American put problem into a nonlinear parabolic differential equation posed on a fixed domain. Explicit and implicit finite-difference methods are used to simulate the problem numerically. As a test, both the explicit and implicit method has been compared and the finite-difference methods give stable results.
Share
Citation/Export: |
|
Social Networking: |
|
Details
Item Type: |
University of Pittsburgh ETD
|
Status: |
Unpublished |
Creators/Authors: |
|
ETD Committee: |
|
Date: |
15 January 2009 |
Date Type: |
Completion |
Defense Date: |
2 December 2008 |
Approval Date: |
15 January 2009 |
Submission Date: |
11 December 2008 |
Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
Institution: |
University of Pittsburgh |
Schools and Programs: |
Dietrich School of Arts and Sciences > Mathematics |
Degree: |
MS - Master of Science |
Thesis Type: |
Master's Thesis |
Refereed: |
Yes |
Uncontrolled Keywords: |
american put option; black-scholes equation; convexity; dividend; early exercise boundary; explicit; front fixing method; implicit; matlab; newton-raphson method; numerical methods |
Other ID: |
http://etd.library.pitt.edu/ETD/available/etd-12112008-002727/, etd-12112008-002727 |
Date Deposited: |
10 Nov 2011 20:10 |
Last Modified: |
15 Nov 2016 13:54 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/10314 |
Metrics
Monthly Views for the past 3 years
Plum Analytics
Actions (login required)
|
View Item |