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dc.contributor.authorDonnelly, Catherine
dc.date.accessioned2008-09-23 17:50:07 (GMT)
dc.date.available2008-09-23 17:50:07 (GMT)
dc.date.issued2008-09-23T17:50:07Z
dc.date.submitted2008
dc.identifier.urihttp://hdl.handle.net/10012/4004
dc.description.abstractIn this thesis, we solve a mean-variance portfolio optimization problem with portfolio constraints under a regime-switching model. Specifically, we seek a portfolio process which minimizes the variance of the terminal wealth, subject to a terminal wealth constraint and convex portfolio constraints. The regime-switching is modeled using a finite state space, continuous-time Markov chain and the market parameters are allowed to be random processes. The solution to this problem is of interest to investors in financial markets, such as pension funds, insurance companies and individuals. We establish the existence and characterization of the solution to the given problem using a convex duality method. We encode the constraints on the given problem as static penalty functions in order to derive the primal problem. Next, we synthesize the dual problem from the primal problem using convex conjugate functions. We show that the solution to the dual problem exists. From the construction of the dual problem, we find a set of necessary and sufficient conditions for the primal and dual problems to each have a solution. Using these conditions, we can show the existence of the solution to the given problem and characterize it in terms of the market parameters and the solution to the dual problem. The results of the thesis lay the foundation to find an actual solution to the given problem, by looking at specific examples. If we can find the solution to the dual problem for a specific example, then, using the characterization of the solution to the given problem, we may be able to find the actual solution to the specific example. In order to use the convex duality method, we have to prove a martingale representation theorem for processes which are locally square-integrable martingales with respect to the filtration generated by a Brownian motion and a finite state space, continuous-time Markov chain. This result may be of interest in problems involving regime-switching models which require a martingale representation theorem.en
dc.language.isoenen
dc.publisherUniversity of Waterlooen
dc.subjectconvex dualityen
dc.subjectportfolio constraintsen
dc.subjectmartingale representationen
dc.subjectregime-switchingen
dc.subjectmean-varianceen
dc.subjectportfolio optimizationen
dc.titleConvex duality in constrained mean-variance portfolio optimization under a regime-switching modelen
dc.typeDoctoral Thesisen
dc.pendingfalseen
dc.subject.programActuarial Scienceen
uws-etd.degree.departmentStatistics and Actuarial Scienceen
uws-etd.degreeDoctor of Philosophyen
uws.typeOfResourceTexten
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen


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