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Dynamic Mean-Variance Model with Borrowing Constraint under the Constant Elasticity of Variance Process
Author(s) -
Hao Chang,
Ximin Rong
Publication year - 2013
Publication title -
journal of applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.307
H-Index - 43
eISSN - 1687-0042
pISSN - 1110-757X
DOI - 10.1155/2013/348059
Subject(s) - hamilton–jacobi–bellman equation , mathematics , legendre transformation , bellman equation , mathematical optimization , lagrange multiplier , mathematical analysis
This paper studies a continuous-time dynamic mean-variance portfolio selection problem with the constraint of a higher borrowing rate, in which stock price is governed by a constant elasticity of variance (CEV)process. Firstly, we apply Lagrange duality theorem to change an original mean-variance problem into an equivalent optimization one. Secondly, we use dynamic programming principle to get the Hamilton-Jacobi-Bellman(HJB) equation for the value function, which is a more sophisticated nonlinear second-order partial differentialequation. Furthermore, we use Legendre transform and dual theory to transform the HJB equation into its dual one. Finally, the closed-form solutions to the optimal investment strategy and efficient frontier are derived by applyingvariable change technique

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