2013
DOI: 10.19139/20
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Mean-Variance Portfolio Selection Problem with Stochastic Salary for a Defined Contribution Pension Scheme: A Stochastic Linear-Quadratic-Exponential Framework

Abstract: This paper examines a mean-variance portfolio selection problem with stochastic salary and inflation protection strategy in the accumulation phase of a defined contribution (DC) pension plan. The utility function is assumed to be quadratic. It was assumed that the flow of contributions made by the pension plan members (PPMs) are invested into a market that is characterized by a cash account, an inflation-linked bond and a stock. In this paper, inflation-linked bond is traded and used to hedge inflation risks a… Show more

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Cited by 6 publications
(9 citation statements)
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“…In solving (10), we set ω = ϕ 2ψ and V (t) = X(t) − ω, See [18] for details. As already explained in [18], the problem is equivalent to solving…”
Section: The Optimization Problemmentioning
confidence: 99%
See 3 more Smart Citations
“…In solving (10), we set ω = ϕ 2ψ and V (t) = X(t) − ω, See [18] for details. As already explained in [18], the problem is equivalent to solving…”
Section: The Optimization Problemmentioning
confidence: 99%
“…There have been many studies on the maximization of expected utility of terminal wealth of PPMs in the accumulation phase of defined contribution pension schemes. See, for example, [7,14,4,2,5,9,11,10,8,16,17,18].…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…Højgaad and Vigna (2007) compare a mean-variance model with a target-based model, and show that the target-based model can be formulated as a meanvariance model. Nkeki (2013) studies a mean-variance DC pension management problem with time-dependent salary, and compares the optimal portfolios under quadratic utility function, power utility function and exponential utility function. He and Liang (2013) introduce the return of premium clauses into the portfolio model with the mean-variance criterion for a DC pension plan during the accumulation phase, and derive a time-consistent investment strategy within the game theoretic framework.…”
Section: Introductionmentioning
confidence: 99%