We identify seven factors - market, size, value, momentum, growth, liquidity, and downside beta - that explain cryptocurrency returns, each exhibiting statistically significant risk premia. Within the Fama–French framework, value, momentum, and growth deliver the largest risk premia after the market factor, while size, liquidity, and downside beta yield smaller but positive returns. From an explanatory standpoint, we find the market to be the dominant factor, with value, growth, downside beta, and size adding substantial explanatory power, and the remaining two factors - momentum and liquidity - offering more modest yet complementary contributions. Lastly, Fama–MacBeth regressions confirm the significance of all seven factors, and reveal notable time variation in their associated risk premia, reflecting the evolving structure of the digital asset market.

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A Factor Model for Digital Assets

  • Cristian Isac,
  • Thomas Erdösi,
  • Warren Han

摘要

We identify seven factors - market, size, value, momentum, growth, liquidity, and downside beta - that explain cryptocurrency returns, each exhibiting statistically significant risk premia. Within the Fama–French framework, value, momentum, and growth deliver the largest risk premia after the market factor, while size, liquidity, and downside beta yield smaller but positive returns. From an explanatory standpoint, we find the market to be the dominant factor, with value, growth, downside beta, and size adding substantial explanatory power, and the remaining two factors - momentum and liquidity - offering more modest yet complementary contributions. Lastly, Fama–MacBeth regressions confirm the significance of all seven factors, and reveal notable time variation in their associated risk premia, reflecting the evolving structure of the digital asset market.