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Constant proportion portfolio insurance in defined contribution pension plan management under discrete-time trading

Author

Listed:
  • Busra Zeynep Temocin

    (Middle East Technical University)

  • Ralf Korn

    (University of Kaiserslautern
    Fraunhofer ITWM)

  • A. Sevtap Selcuk-Kestel

    (Middle East Technical University)

Abstract

Portfolio insurance strategies are designed to protect investors against adverse market movements by providing an initially specified guarantee during the investment period. This kind of a protection mechanism is especially important for systems with long investment horizons such as pension plans. In this paper, we consider various versions of the Constant Proportion Portfolio Insurance (CPPI) method under discrete-time trading for a defined-contribution pension plan that includes regular contributions of random size dependent on a stochastic income process. We compare different floor processes for the CPPI with regard to gap-risk and cash-lock probability by computing respective risk measures.

Suggested Citation

  • Busra Zeynep Temocin & Ralf Korn & A. Sevtap Selcuk-Kestel, 2018. "Constant proportion portfolio insurance in defined contribution pension plan management under discrete-time trading," Annals of Operations Research, Springer, vol. 260(1), pages 515-544, January.
    • Handle: RePEc:spr:annopr:v:260:y:2018:i:1:d:10.1007_s10479-017-2638-5
    DOI: 10.1007/s10479-017-2638-5
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    References listed on IDEAS

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    Cited by:

    1. Peyman Alipour & Ali Foroush Bastani, 2023. "Value-at-Risk-Based Portfolio Insurance: Performance Evaluation and Benchmarking Against CPPI in a Markov-Modulated Regime-Switching Market," Papers 2305.12539, arXiv.org.
    2. Guohui Guan & Zongxia Liang & Yi Xia, 2023. "Optimal management of DB pension fund under both underfunded and overfunded cases," Papers 2302.08731, arXiv.org.
    3. An Chen & Thai Nguyen & Manuel Rach, 2021. "A collective investment problem in a stochastic volatility environment: The impact of sharing rules," Annals of Operations Research, Springer, vol. 302(1), pages 85-109, July.
    4. Li, Zhuyue & Zhao, Peixin & Han, Xue, 2022. "Agri-food supply chain network disruption propagation and recovery based on cascading failure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    5. Chen, An & Hieber, Peter & Nguyen, Thai, 2019. "Constrained non-concave utility maximization: An application to life insurance contracts with guarantees," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1119-1135.

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