Graduation Semester and Year
2013
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Mathematics
Department
Mathematics
First Advisor
Andrzej Korzeniowski
Abstract
Despite the outstanding success of the Black-Scholes model, it relies on the assumption that drift and volatility of the underlying equity remain constant throughout time. This inaccuracy has motivated a number of interesting and innovative refinements, one of the most natural being Markov modulation. In this dissertation we analyze a variety of financially motivated optimal stopping problems under Markov modulated Ito-Diffusions. In Chapter 3, we generalize and refine a technique developed in [13] pricing an infinite time horizon American put option and we present a rigorous proof of optimality. In Chapter 3 we use this generalized technique to discover an optimal selling strategy for an infinite horizon American style forward contract. In so doing, we extend the work done in [12]. Finally in Chapter 5 we price the infinite horizon American put using a non-traditional model of a mean reverting Ornstein-Uhlenbeck process, further illustrating the broad scope of applicability of the technique developed herein.
Disciplines
Mathematics | Physical Sciences and Mathematics
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Seaquist, Thomas William, "Optimal Stopping For Markov Modulated Ito-diffusion With Applications To Finance" (2013). Mathematics Dissertations. 94.
https://mavmatrix.uta.edu/math_dissertations/94
Comments
Degree granted by The University of Texas at Arlington