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Leveraging traditional financial asset protection methods for digital asset security

Author

Listed:
  • Xiao, Biyun
  • Lin, Su
  • Wu, Chunxiao
  • Sun, Boming

Abstract

The rise of the digital economy has highlighted the key role of digital assets in driving innovation and enhancing economic resilience. However, the volatility of digital assets requires effective value protection strategies to cope with market fluctuations. This study compares the performance of option-based portfolio insurance (OBPI) and constant-proportion portfolio insurance (CPPI) in managing digital asset volatility. By integrating Monte Carlo simulations, the research evaluates portfolio performance under different market conditions and incorporates fixed transaction costs to improve CPPI modeling. Based on the Hong Kong stock market, the analysis shows that CPPI outperforms OBPI in a bull market, but both strategies yield comparable results in a flat market. Conversely, OBPI provides superior downside protection during bear markets. This study contributes to the growing body of literature on digital asset value protection, emphasizing the importance of customized strategies in the digital economy to ensure the sustainable growth and stability of assets.

Suggested Citation

  • Xiao, Biyun & Lin, Su & Wu, Chunxiao & Sun, Boming, 2025. "Leveraging traditional financial asset protection methods for digital asset security," International Review of Economics & Finance, Elsevier, vol. 99(C).
  • Handle: RePEc:eee:reveco:v:99:y:2025:i:c:s105905602500173x
    DOI: 10.1016/j.iref.2025.104010
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    1. Peterson, Richard E, 1974. "A Cross Section Study of the Demand for Money: The United States, 1960-62," Journal of Finance, American Finance Association, vol. 29(1), pages 73-88, March.
    2. Marie Briere & Kim Oosterlinck & Ariane Szafarz, 2015. "Virtual Currency, Tangible Return: Portfolio Diversification with Bitcoins," Post-Print CEB, ULB -- Universite Libre de Bruxelles, vol. 16(6), pages 365-373.
    3. Changyu Hu & Yuetong Li & Xiaojia Zheng, 2022. "Data assets, information uses, and operational efficiency," Applied Economics, Taylor & Francis Journals, vol. 54(60), pages 6887-6900, December.
    4. Annaert, Jan & Osselaer, Sofieke Van & Verstraete, Bert, 2009. "Performance evaluation of portfolio insurance strategies using stochastic dominance criteria," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 272-280, February.
    5. Cesari, Riccardo & Cremonini, David, 2003. "Benchmarking, portfolio insurance and technical analysis: a Monte Carlo comparison of dynamic strategies of asset allocation," Journal of Economic Dynamics and Control, Elsevier, vol. 27(6), pages 987-1011, April.
    6. Khurana, Indu & Dutta, Dev K. & Singh Ghura, Amarpreet, 2022. "SMEs and digital transformation during a crisis: The emergence of resilience as a second-order dynamic capability in an entrepreneurial ecosystem," Journal of Business Research, Elsevier, vol. 150(C), pages 623-641.
    7. Libo Yin & Liyan Han, 2015. "Hedging International Foreign Exchange Risks via Option Based Portfolio Insurance," Computational Economics, Springer;Society for Computational Economics, vol. 45(1), pages 151-181, January.
    8. Dima Tawil, 2018. "Risk-adjusted performance of portfolio insurance and investors’ preferences," Post-Print hal-02001769, HAL.
    9. Burggraf, Tobias, 2021. "Beyond risk parity – A machine learning-based hierarchical risk parity approach on cryptocurrencies," Finance Research Letters, Elsevier, vol. 38(C).
    10. 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.
    11. Pézier, Jacques & Scheller, Johanna, 2013. "Best portfolio insurance for long-term investment strategies in realistic conditions," Insurance: Mathematics and Economics, Elsevier, vol. 52(2), pages 263-274.
    12. Leland, Hayne E, 1980. "Who Should Buy Portfolio Insurance?," Journal of Finance, American Finance Association, vol. 35(2), pages 581-594, May.
    13. Wu, Wei & Li, Zhuoran & Feng, Xuan, 2024. "International interest rate arbitrage: Study on a novel strategy," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    14. Tawil, Dima, 2018. "Risk-adjusted performance of portfolio insurance and investors’ preferences," Finance Research Letters, Elsevier, vol. 24(C), pages 10-18.
    15. Douglas Cumming & Zachary Glatzer & Omrane Guedhami, 2023. "Institutions, digital assets, and implications for economic and financial performance," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(3), pages 487-513, September.
    16. John Fan Zhang & Zehuang Xu & Yi Peng & Wujin Yang & Haorou Zhao, 2022. "Culture, Digital Assets, and the Economy: A Trans-National Perspective," Springer Books, in: Thomas Walker & Frederick Davis & Tyler Schwartz (ed.), Big Data in Finance, pages 159-184, Springer.
    17. Rudi Zagst & Julia Kraus, 2011. "Stochastic dominance of portfolio insurance strategies," Annals of Operations Research, Springer, vol. 185(1), pages 75-103, May.
    18. Easley, David & O'Hara, Maureen & Basu, Soumya, 2019. "From mining to markets: The evolution of bitcoin transaction fees," Journal of Financial Economics, Elsevier, vol. 134(1), pages 91-109.
    19. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    20. Black, Fischer & Perold, AndreF., 1992. "Theory of constant proportion portfolio insurance," Journal of Economic Dynamics and Control, Elsevier, vol. 16(3-4), pages 403-426.
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