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dc.contributor.advisorPatidar, Kailash C.
dc.contributor.authorMvondo, Bernardin Gael
dc.date.accessioned2015-07-30T12:14:51Z
dc.date.available2015-07-30T12:14:51Z
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/11394/4352
dc.description>Magister Scientiae - MScen_US
dc.description.abstractThe problem of optimal investment has been extensively studied by numerous researchers in order to generalize the original framework. Those generalizations have been made in different directions and using different techniques. For example, Perera [Optimal consumption, investment and insurance with insurable risk for an investor in a Levy market, Insurance: Mathematics and Economics, 46 (3) (2010) 479-484] applied the martingale approach to obtain a closed form solution for the optimal investment, consumption and insurance strategies of an individual in the presence of an insurable risk when the insurable risk and risky asset returns are described by Levy processes and the utility is a constant absolute risk aversion. In another work, Sattinger [The Markov consumption problem, Journal of Mathematical Economics, 47 (4-5) (2011) 409-416] gave a model of consumption behavior under uncertainty as the solution to a continuous-time dynamic control problem in which an individual moves between employment and unemployment according to a Markov process. In this thesis, we will review the consumption models in the above framework and will simulate some of them using an infinite series expansion method − a key focus of this research. Several numerical results obtained by using MATLAB are presented with detailed explanations.en_US
dc.language.isoenen_US
dc.publisherUniversity of the Western Capeen_US
dc.subjectBrownian motion processen_US
dc.subjectLog-normal distributionen_US
dc.subjectMarkov processen_US
dc.titleNumerical techniques for optimal investment consumption modelsen_US
dc.rights.holderUniversity of the Western Capeen_US


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