Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/20440
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dc.titleContinuous-Time Finite-Horizon Optimal Investment and Consumption Problems with Proportional Transaction Costs
dc.contributor.authorZHAO KUN
dc.date.accessioned2011-02-28T18:01:18Z
dc.date.available2011-02-28T18:01:18Z
dc.date.issued2009-08-16
dc.identifier.citationZHAO KUN (2009-08-16). Continuous-Time Finite-Horizon Optimal Investment and Consumption Problems with Proportional Transaction Costs. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/20440
dc.description.abstractIn this thesis, the continuous-time finite-horizon optimal investment and consumption problems with proportional transaction costs are studied. Through probabilistic approach, we investigate the optimal investment problem for a Constant Relative Risk Aversion (CRRA) investor and reveal analytically the connections between the stochastic control problem and an optimal stopping problem, with the existence of optimal stochastic controls and under certain parameter restrictions. Besides, the optimal investment and consumption problem for a Constant Absolute Risk Aversion (CARA) investor is studied through Partial Differential Equation (PDE) approach. Important analytical properties of the value function and the free boundaries for the optimal investment and consumption problem are shown through rigorous PDE arguments, while comparison is made between the two cases. In addition, the jump diffusion feature is incorporated into the optimal investment problem for a CARA investor and numerical results are provided.
dc.language.isoen
dc.subjectoptimal investment and consumption, proportional transaction costs, singular stochastic control, optimal stopping, double obstacle problem.
dc.typeThesis
dc.contributor.departmentMATHEMATICS
dc.contributor.supervisorDAI MIN
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Ph.D Theses (Open)

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