Time-Consistent Strategies for a Multiperiod Mean-Variance Portfolio Selection Problem
Author(s) -
Huiling Wu
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 - 10.1155/2013/841627
Subject(s) - precommitment , portfolio , selection (genetic algorithm) , variance (accounting) , nash equilibrium , constant (computer programming) , mathematical economics , economics , bellman equation , portfolio optimization , mathematics , mathematical optimization , econometrics , computer science , microeconomics , accounting , artificial intelligence , financial economics , programming language
It remained prevalent in the past years to obtain the precommitment strategies for Markowitz's mean-variance portfolio optimization problems, but not much is known about their time-consistent strategies. This paper takes a step to investigate the time-consistent Nash equilibrium strategies for a multiperiod mean-variance portfolio selection problem. Under the assumption that the risk aversion is, respectively, a constant and a function of current wealth level, we obtain the explicit expressions for the time-consistent Nash equilibrium strategy and the equilibrium value function. Many interesting properties of the time-consistent results are identified through numerical sensitivity analysis and by comparing them with the classical pre-commitment solutions
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