
Optimizing Cryptocurrency Investments: A Study of Portfolio Rebalancing Techniques
Junichi Takeda , Graduate School of Economics, University of Tokyo, Japan Sara Oliveira , Blockchain Research Institute, University of Lisbon, PortugalAbstract
Cryptocurrency markets have gained significant attention from investors due to their high volatility and potential for substantial returns. However, managing cryptocurrency portfolios effectively requires robust strategies that can balance risk and return. Rebalancing is a common technique used by investors to maintain a desired asset allocation. This study aims to compare various rebalancing strategies for optimizing cryptocurrency portfolios. We evaluate the performance of different strategies, including fixed-interval rebalancing, threshold-based rebalancing, and time-weighted rebalancing, using historical data from popular cryptocurrencies such as Bitcoin (BTC), Ethereum (ETH), and Litecoin (LTC). Results show that while fixed-interval rebalancing yields consistent returns, threshold-based rebalancing offers superior risk-adjusted performance. These findings suggest that a dynamic approach, incorporating threshold-based rebalancing, may enhance portfolio optimization in the context of cryptocurrencies.
Keywords
Cryptocurrency Portfolios, Rebalancing Strategies, Fixed-Interval Rebalancing
References
Baur, D. G., & Dimpfl, T. (2018). Bitcoin, gold and the US dollar. Journal of International Financial Markets, Institutions and Money, 54, 100-114. https://doi.org/10.1016/j.intfin.2017.12.003
Block, J., & Clegg, B. (2020). Cryptocurrency market behavior: Volatility, risk, and portfolio optimization. Journal of Portfolio Management, 46(5), 75-90. https://doi.org/10.3905/jpm.2020.1.111
Cavanagh, S., & Williams, S. (2019). Rebalancing strategies for cryptocurrency portfolios. Financial Technology Journal, 23(2), 125-140. https://doi.org/10.1108/FTJ-2019-0027
Hull, J. C. (2018). Risk management and financial institutions (5th ed.). Wiley.
Kumar, S., & Yadav, A. (2021). Threshold-based rebalancing strategies in cryptocurrency portfolios. Financial Research Letters, 39, 75-82. https://doi.org/10.1016/j.frl.2021.101579
Markowitz, H. M. (1952). Portfolio selection. The Journal of Finance, 7(1), 77-91. https://doi.org/10.1111/j.1540-6261.1952.tb01525.x
Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. Retrieved from https://bitcoin.org/bitcoin.pdf
Shaikh, M., & Li, Y. (2022). Optimizing cryptocurrency portfolios: A comparison of traditional and machine learning models. Journal of Financial Markets, 29(3), 415-438. https://doi.org/10.1016/j.finmar.2021.11.002
Westerholm, P. (2017). Volatility dynamics and return predictability of Bitcoin and other cryptocurrencies. Journal of Economic Dynamics and Control, 80, 99-118. https://doi.org/10.1016/j.jedc.2017.01.001
Zohar, A., & Shakory, M. (2021). Risk-adjusted portfolio performance in digital assets: A review of rebalancing strategies. Journal of Alternative Investments, 23(1), 34-49. https://doi.org/10.3905/jai.2021.1.026
Article Statistics
Downloads
Copyright License
Copyright (c) 2025 Junichi Takeda, Sara Oliveira

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright and Ethics:
- Authors are responsible for obtaining permission to use any copyrighted materials included in their manuscript.
- Authors are also responsible for ensuring that their research was conducted in an ethical manner and in compliance with institutional and national guidelines for the care and use of animals or human subjects.
- By submitting a manuscript to International Journal of Economics Finance & Management Science (IJEFMS), authors agree to transfer copyright to the journal if the manuscript is accepted for publication.