2016
DOI: 10.1016/j.insmatheco.2016.05.014
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Optimal management of DC pension plan under loss aversion and Value-at-Risk constraints

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Cited by 54 publications
(27 citation statements)
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“…However, this generalization leads to a nonlinear dual HJB equation which is equally difficult to solve as the primal HJB equation. Guan and Liang (2016); when there is only PI constraint, the optimal terminal wealth has the same form as (27) in Chen et al (2017). Therefore, extending Guan and Liang (2016)…”
Section: Proposition 37mentioning
confidence: 98%
“…However, this generalization leads to a nonlinear dual HJB equation which is equally difficult to solve as the primal HJB equation. Guan and Liang (2016); when there is only PI constraint, the optimal terminal wealth has the same form as (27) in Chen et al (2017). Therefore, extending Guan and Liang (2016)…”
Section: Proposition 37mentioning
confidence: 98%
“…Wang et al elaborated that novel group emergency decision making was related to experts' psychological behavior in the group emergency decision making process [38]. Guan et al took into consideration both the loss aversion and sensitivity analysis for the risk management in a defined contribution (DC) pension plan [39]. With respect to the risk decision making problem, Liu et al devised a multi-attribute decision making method based on prospect theory, which considers the influence on different parameters of value function [40].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Guan and Liang [7] investigate optimal investment strategy of DC pension plan under a stochastic interest rate and stochastic volatility model, which includes the CIR, Vasicek and Heston's stochastic volatility models. The optimal investment strategies under the loss aversion and constraints of value at risk (VaR) from a perspective of risk management are discussed in Guan and Liang [8]. Recently, Sun et al [9] discuss the optimal strategy under inflation and stochastic income by using the Heston's SV model.…”
Section: Introductionmentioning
confidence: 99%