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Analyzing Portfolio Optimization in Cryptocurrency Markets: A Comparative Study of Short-Term Investment Strategies Using Hourly Data Approach

Author

Listed:
  • Sonal Sahu

    (Department of Accounting and Finance, Campus Guadalajara, Tecnológico de Monterrey, Zapopan 45201, Mexico)

  • José Hugo Ochoa Vázquez

    (Department of Accounting and Finance, Campus Guadalajara, Tecnológico de Monterrey, Zapopan 45201, Mexico)

  • Alejandro Fonseca Ramírez

    (EGADE Business School, Tecnológico de Monterrey, Monterrey 66269, Mexico)

  • Jong-Min Kim

    (Division of Science and Mathematics, University of Minnesota-Morris, Morris, MN 56267, USA)

Abstract

This paper investigates portfolio optimization methodologies and short-term investment strategies in the context of the cryptocurrency market, focusing on ten major cryptocurrencies from June 2020 to March 2024. Using hourly data, we apply the Kurtosis Minimization methodology, along with other optimization strategies, to construct and assess portfolios across various rebalancing frequencies. Our empirical analysis reveals significant volatility, skewness, and kurtosis in cryptocurrencies, highlighting the need for sophisticated portfolio management techniques. We discover that the Kurtosis Minimization methodology consistently outperforms other optimization strategies, especially in shorter-term investment horizons, delivering optimal returns to investors. Additionally, our findings emphasize the importance of dynamic portfolio management, stressing the necessity of regular rebalancing in the volatile cryptocurrency market. Overall, this study offers valuable insights into optimizing cryptocurrency portfolios, providing practical guidance for investors and portfolio managers navigating this rapidly evolving market landscape.

Suggested Citation

  • Sonal Sahu & José Hugo Ochoa Vázquez & Alejandro Fonseca Ramírez & Jong-Min Kim, 2024. "Analyzing Portfolio Optimization in Cryptocurrency Markets: A Comparative Study of Short-Term Investment Strategies Using Hourly Data Approach," JRFM, MDPI, vol. 17(3), pages 1-14, March.
    • Handle: RePEc:gam:jjrfmx:v:17:y:2024:i:3:p:125-:d:1360240
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    References listed on IDEAS

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    1. Symitsi, Efthymia & Chalvatzis, Konstantinos J., 2019. "The economic value of Bitcoin: A portfolio analysis of currencies, gold, oil and stocks," Research in International Business and Finance, Elsevier, vol. 48(C), pages 97-110.
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    Cited by:

    1. Song, Shijia & Li, Handong, 2025. "Can topological transitions in cryptocurrency systems serve as early warning signals for extreme fluctuations in traditional markets?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 657(C).

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