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Optimal investment strategy for the DC plan with the return of premiums clauses in a mean–variance framework

Citations

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Cited by:

  1. Calisto Guambe & Rodwell Kufakunesu & Gusti Van Zyl & Conrad Beyers, 2018. "Optimal asset allocation for a DC plan with partial information under inflation and mortality risks," Papers 1808.06337, arXiv.org, revised Aug 2018.
  2. Yuchao Dong & Harry Zheng, 2025. "Extended HJB Equation for Mean-Variance Stopping Problem: Vanishing Regularization Method," Papers 2510.24128, arXiv.org.
  3. Wang, Pei & Shen, Yang & Zhang, Ling & Kang, Yuxin, 2021. "Equilibrium investment strategy for a DC pension plan with learning about stock return predictability," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 384-407.
  4. Li, Danping & Rong, Ximin & Zhao, Hui & Yi, Bo, 2017. "Equilibrium investment strategy for DC pension plan with default risk and return of premiums clauses under CEV model," Insurance: Mathematics and Economics, Elsevier, vol. 72(C), pages 6-20.
  5. Bian, Lihua & Li, Zhongfei & Yao, Haixiang, 2018. "Pre-commitment and equilibrium investment strategies for the DC pension plan with regime switching and a return of premiums clause," Insurance: Mathematics and Economics, Elsevier, vol. 81(C), pages 78-94.
  6. Wu, Huiling & Zeng, Yan, 2015. "Equilibrium investment strategy for defined-contribution pension schemes with generalized mean–variance criterion and mortality risk," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 396-408.
  7. Wang, Peiguang & Wang, Zihui & Wang, Wenli, 2024. "Modeling mispricing risk of defined contribution pension plan with a mean–variance criteria," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
  8. Zeng, Yan & Li, Danping & Chen, Zheng & Yang, Zhou, 2018. "Ambiguity aversion and optimal derivative-based pension investment with stochastic income and volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 88(C), pages 70-103.
  9. Christensen, Sören & Lindensjö, Kristoffer, 2020. "On time-inconsistent stopping problems and mixed strategy stopping times," Stochastic Processes and their Applications, Elsevier, vol. 130(5), pages 2886-2917.
  10. Chen, Zheng & Li, Zhongfei & Zeng, Yan & Shen, Yang, 2025. "Dynamic derivative-based pension investment with stochastic volatility: A behavioral perspective," Insurance: Mathematics and Economics, Elsevier, vol. 125(C).
  11. Menoncin, Francesco & Vigna, Elena, 2017. "Mean–variance target-based optimisation for defined contribution pension schemes in a stochastic framework," Insurance: Mathematics and Economics, Elsevier, vol. 76(C), pages 172-184.
  12. Henrique Ferreira Morici & Elena Vigna, 2025. "Optimal additional voluntary contribution in DC pension schemes to manage inadequacy risk," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 48(2), pages 1031-1063, December.
  13. He, Lin & Liang, Zongxia, 2015. "Optimal assets allocation and benefit outgo policies of DC pension plan with compulsory conversion claims," Insurance: Mathematics and Economics, Elsevier, vol. 61(C), pages 227-234.
  14. Liang, Zongxia & Ma, Ming, 2015. "Optimal dynamic asset allocation of pension fund in mortality and salary risks framework," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 151-161.
  15. Henrique Ferreira Morici & Elena Vigna, 2023. "Optimal additional voluntary contribution in DC pension schemes to manage inadequacy risk," Carlo Alberto Notebooks 699 JEL Classification: C, Collegio Carlo Alberto.
  16. Ankush Agarwal & Christian-Oliver Ewald & Yongjie Wang, 2020. "Sharing of longevity basis risk in pension schemes with income-drawdown guarantees," Papers 2002.05232, arXiv.org.
  17. Li, Yuying & Forsyth, Peter A., 2019. "A data-driven neural network approach to optimal asset allocation for target based defined contribution pension plans," Insurance: Mathematics and Economics, Elsevier, vol. 86(C), pages 189-204.
  18. Soren Christensen & Kristoffer Lindensjo, 2019. "Time-inconsistent stopping, myopic adjustment & equilibrium stability: with a mean-variance application," Papers 1909.11921, arXiv.org, revised Jan 2020.
  19. Wu, Huiling & Zhang, Ling & Chen, Hua, 2015. "Nash equilibrium strategies for a defined contribution pension management," Insurance: Mathematics and Economics, Elsevier, vol. 62(C), pages 202-214.
  20. Zhang, Ling & Zhang, Hao & Yao, Haixiang, 2018. "Optimal investment management for a defined contribution pension fund under imperfect information," Insurance: Mathematics and Economics, Elsevier, vol. 79(C), pages 210-224.
  21. Peng, Xingchun & Luo, Liuling, 2025. "Optimal investment strategy for DC pension with mean-weighted variance-CVaR criterion under partial information," Insurance: Mathematics and Economics, Elsevier, vol. 120(C), pages 302-324.
  22. Dylan Possamai & Chiara Rossato, 2025. "Variance strikes back: sub-game--perfect Nash equilibria in time-inconsistent $N$-player games, and their mean-field sequel," Papers 2512.08745, arXiv.org.
  23. Sun, Jingyun & Li, Zhongfei & Zeng, Yan, 2016. "Precommitment and equilibrium investment strategies for defined contribution pension plans under a jump–diffusion model," Insurance: Mathematics and Economics, Elsevier, vol. 67(C), pages 158-172.
  24. Guan, Guohui & Liang, Zongxia, 2015. "Mean–variance efficiency of DC pension plan under stochastic interest rate and mean-reverting returns," Insurance: Mathematics and Economics, Elsevier, vol. 61(C), pages 99-109.
  25. Wang, Ling & Jia, Bowen, 2025. "Equilibrium investment strategies for a defined contribution pension plan with random risk aversion," Insurance: Mathematics and Economics, Elsevier, vol. 125(C).
  26. Liang, Zongxia & Sheng, Wenlong, 2016. "Valuing inflation-linked death benefits under a stochastic volatility framework," Insurance: Mathematics and Economics, Elsevier, vol. 69(C), pages 45-58.
  27. Zilan Liu & Huanying Zhang & Yijun Wang & Ya Huang, 2024. "Optimal Investment for Defined-Contribution Pension Plans with the Return of Premium Clause under Partial Information," Mathematics, MDPI, vol. 12(13), pages 1-22, July.
  28. Marcos Escobar-Anel & Lorenz Theilacker & Rudi Zagst, 2023. "Correction: Revisiting the 1/N-strategy: a neural network framework for optimal strategies," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 46(2), pages 543-543, December.
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