We find that three factors – cryptocurrency market, size, and momentum – capture the cross-sectional expected cryptocurrency returns. We consider a comprehensive list of price- and market-related factors in the stock market, and construct their cryptocurrency counterparts. Nine...

We find that three factors – cryptocurrency market, size, and momentum – capture the cross-sectional expected cryptocurrency returns. We consider a comprehensive list of price- and market-related factors in the stock market, and construct their cryptocurrency counterparts. Nine...

We find that three factors - cryptocurrency market, size, and momentum - capture the cross-sectional expected cryptocurrency returns. We consider a comprehensive list of price- and market-related factors in the stock market, and construct their cryptocurrency counterparts. Nine cryptocurrency...

We establish that the risk-return tradeoff of cryptocurrencies (Bitcoin, Ripple, and Ethereum) is distinct from those of stocks, currencies, and precious metals. Cryptocurrencies have no exposure to most common stock market and macroeconomic factors or to the returns of currencies and...

We establish that the risk-return tradeoff of cryptocurrencies (Bitcoin, Ripple, and Ethereum) is distinct from those of stocks, currencies, and precious metals. Cryptocurrencies have no exposure to most common stock market and macroeconomic factors. They also have no exposure to the returns of...

I establish empirically and theoretically that expectations of returns and cash flows are linked to firms' labor search decisions. Using a dataset that covers the near-universe of online job vacancy postings, I show that vacancy rates negatively predict stock returns and positively predict cash...

We establish that the risk-return tradeoff of cryptocurrencies (Bitcoin, Ripple, and Ethereum) is distinct from those of stocks, currencies, and precious metals. Cryptocurrencies have no exposure to most common stock market and macroeconomic factors. They also have no exposure to the returns of...

Using high-frequency data, we estimate and characterize the evolution of the factor structure of global asset returns across aggregate equity, fixed income and exchange rates over the period 2007-2020. We show how the factor structure of asset returns evolves through time, providing clear...

We propose a new non-linear single-factor asset pricing model. Despite its parsimony, this model represents exactly any non-linear model with an arbitrary number of factors and loadings - a consequence of the Kolmogorov-Arnold representation theorem. It features only one pricing component...