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A new choice of dynamic asset management: the variable proportion portfolio insurance

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  • Huai-I. Lee
  • Min-Hsien Chiang
  • Hsinan Hsu

Abstract

The constant proportion portfolio insurance (CPPI) achieves the advantage of simplicity due to its constant multiple. However, a dynamic multiple could improve the effectiveness of portfolio management. In this article, we provide a complete and detailed examination of the mechanism of variable proportion portfolio insurance (VPPI) strategy. The multiple of the VPPI states that when the stock price goes up, the multiple gets larger accordingly and when the stock price goes down, the multiple gets smaller. A portfolio insurance strategy with this discipline could yield better performance. Based on this principle, we recommend an exponential proportion portfolio insurance (EPPI). In addition, we also propose a new performance measure for portfolio insurance. Compared with the CPPI, simulation and empirical evidence support that the EPPI works better in both upside capture and downside protection, implying that the EPPI could be an effective tool for asset management.

Suggested Citation

  • Huai-I. Lee & Min-Hsien Chiang & Hsinan Hsu, 2008. "A new choice of dynamic asset management: the variable proportion portfolio insurance," Applied Economics, Taylor & Francis Journals, vol. 40(16), pages 2135-2146.
    • Handle: RePEc:taf:applec:v:40:y:2008:i:16:p:2135-2146
    DOI: 10.1080/00036840600949280
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    Cited by:

    1. Diana Barro & Elio Canestrelli, 2014. "Downside risk in multiperiod tracking error models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(2), pages 263-283, June.
    2. Olga Biedova & Victoria Steblovskaya, 2020. "Multiplier Optimization For Constant Proportion Portfolio Insurance (Cppi) Strategy," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 23(02), pages 1-22, March.
    3. Daniele Mancinelli & Immacolata Oliva, 2023. "Constant or Variable? A Performance Analysis among Portfolio Insurance Strategies," Risks, MDPI, vol. 11(6), pages 1-14, June.
    4. Guohui Guan & Lin He & Zongxia Liang & Litian Zhang, 2024. "Optimal VPPI strategy under Omega ratio with stochastic benchmark," Papers 2403.13388, arXiv.org.
    5. Wentao Hu & Cuixia Chen & Yufeng Shi & Ze Chen, 2022. "A Tail Measure With Variable Risk Tolerance: Application in Dynamic Portfolio Insurance Strategy," Methodology and Computing in Applied Probability, Springer, vol. 24(2), pages 831-874, June.
    6. Jiang, Chonghui & Ma, Yongkai & An, Yunbi, 2009. "The effectiveness of the VaR-based portfolio insurance strategy: An empirical analysis," International Review of Financial Analysis, Elsevier, vol. 18(4), pages 185-197, September.
    7. Ben Ameur, H. & Prigent, J.L., 2014. "Portfolio insurance: Gap risk under conditional multiples," European Journal of Operational Research, Elsevier, vol. 236(1), pages 238-253.
    8. Huai-I. Lee & Hsinan Hsu & Len-Kuo Hu & Ching-Chung Lin, 2011. "Portfolio insurance with ratcheted floor as a long-term asset management strategy: implications of loss aversion," Applied Economics Letters, Taylor & Francis Journals, vol. 18(15), pages 1449-1454.

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