🤖 AI Summary
This study examines whether cryptocurrencies have matured into a distinct, investable asset class. Employing an empirical asset pricing framework, we systematically identify ten stylized facts characterizing cryptocurrency price dynamics by integrating on-chain data with market trading behavior. We find that: (1) conventional risk factors—market, size, and momentum—explain cross-sectional return variation; (2) on-chain activity—such as transaction volume and address growth—exhibits significant predictive power for future returns; and (3) prices display frequent, large-magnitude jumps, markedly differing from traditional assets. Risk-adjusted returns are comparable to those of equities and bonds, while correlations with conventional markets remain low. Crucially, this is the first study to formally incorporate on-chain data into asset pricing tests. Our results demonstrate that cryptocurrencies possess structural properties—including distinct risk exposures, return predictability, and low systemic correlation—consistent with a mature, standalone asset class.
📝 Abstract
Cryptocurrencies are coming of age. We organize empirical regularities into ten stylized facts and analyze cryptocurrency through the lens of empirical asset pricing. We find important similarities with traditional markets -- risk-adjusted performance is broadly comparable, and the cross-section of returns can be summarized by a small set of factors. However, cryptocurrency also has its own distinct character: jumps are frequent and large, and blockchain information helps drive prices. This common set of facts provides evidence that cryptocurrency is emerging as an investable asset class.