Optimizing Cryptocurrency Returns: A Quantitative Study on Factor-Based Investing

Phumudzo Lloyd Seabe*, Claude Rodrigue Bambe Moutsinga, Edson Pindza

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


This study explores cryptocurrency investment strategies by adapting the robust framework of factor investing, traditionally applied in equity markets, to the distinctive landscape of cryptocurrency assets. It conducts an in-depth examination of 31 prominent cryptocurrencies from December 2017 to December 2023, employing the Fama–MacBeth regression method and portfolio regressions to assess the predictive capabilities of market, size, value, and momentum factors, adjusted for the unique characteristics of the cryptocurrency market. These characteristics include high volatility and continuous trading, which differ markedly from those of traditional financial markets. To address the challenges posed by the perpetual operation of cryptocurrency trading, this study introduces an innovative rebalancing strategy that involves weekly adjustments to accommodate the market’s constant fluctuations. Additionally, to mitigate issues like autocorrelation and heteroskedasticity in financial time series data, this research applies the Newey–West standard error approach, enhancing the robustness of regression analyses. The empirical results highlight the significant predictive power of momentum and value factors in forecasting cryptocurrency returns, underscoring the importance of tailoring conventional investment frameworks to the cryptocurrency context. This study not only investigates the applicability of factor investing in the rapidly evolving cryptocurrency market, but also enriches the financial literature by demonstrating the effectiveness of combining Fama–MacBeth cross-sectional analysis with portfolio regressions, supported by Newey–West standard errors, in mastering the complexities of digital asset investments.

Original languageEnglish
Article number1351
Issue number9
Publication statusPublished - May 2024
Externally publishedYes


  • cryptocurrency market analysis
  • factor investing strategies
  • Fama–MacBeth regressions
  • market
  • momentum factors
  • Newey–West standard errors
  • size
  • value


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