Portfolio optimization using cryptocurrency

Authors

  • Raka Arjunaldi Pramana Putra Universitas Brawijaya
  • Mychelia Champaca Universitas Brawijaya

DOI:

https://doi.org/10.55942/pssj.v6i1.620

Keywords:

cryptocurrency, portfolio optimization, markowitz model, mean variance optimization, sharpe ratio

Abstract

This study aims to analyze the role of cryptocurrency investment in optimizing the performance of a portfolio comprising traditional assets, such as stocks, foreign exchange, and gold. This quantitative research employs the Markowitz Mean-Variance Optimization model and Sharpe ratio analysis. The data used consist of monthly closing prices from January 2019 to December 2024 for three cryptocurrencies (BTC, ETH, and XRP), three banking stocks (BBCA, BBRI, and BMRI), three foreign exchange pairs (USD/IDR, EUR/IDR, and GBP/IDR), and gold. A comparison was made between an optimal portfolio without a cryptocurrency and an optimal portfolio with a cryptocurrency. The results indicate that the inclusion of cryptocurrency significantly increased the portfolio's expected return from 14.07% to 32.08%. This increase was accompanied by a rise in risk (standard deviation) from 11.39% to 19.49%. However, portfolio efficiency improved dramatically, as evidenced by the Sharpe ratio surging from 70.89% to 133.83%. In both scenarios, gold consistently played a dominant role as a stabilizing asset in the portfolio. It is concluded that, during the study period, cryptocurrency served as a significant return enhancer and efficiency booster in the investment portfolio.

Author Biographies

Raka Arjunaldi Pramana Putra, Universitas Brawijaya

Raka Arjunaldi Pramana Putra is affiliated with Universitas Brawijaya

Mychelia Champaca, Universitas Brawijaya

Mychelia Champaca is affiliated with Universitas Brawijaya

References

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Published

2026-01-19

How to Cite

Putra, R. A. P. ., & Champaca, M. (2026). Portfolio optimization using cryptocurrency. Priviet Social Sciences Journal, 6(1), 410–418. https://doi.org/10.55942/pssj.v6i1.620
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