Cryptocurrencies come with benefits, such as anonymity of payments and positive network effects of user adoption, and transaction risks including unconfirmed transactions, hacks, and frauds. They compete with central-bank-regulated money but consumers may prefer one currency over the other. In...

This paper studies risk premia in a large cross-section of cryptocurrency. We characterize the stochastic discount factor in terms of latent factors and obtain risk premia estimates for a large set of observable factors that are robust to omitted variable and measurement error. These are...

This paper investigates the cross-sectional predictive ability of text-based factors in the cryptocurrency market --an important asset class for retail and institutional investors. We employ Bidirectional Encoder Representations from Transformers (BERT) topic modeling to analyze news articles...

In this study, we investigate the pricing of risks in the cross-section of cryptocurrency returns. In doing so, we decompose total variations into systematic and idiosyncratic components, as well as differentiate jumps from diffusive variations. We show that a hedged portfolio sorted on...

We consider a variety of cryptocurrency and equity risk factors as potential forces that drive cryptocurrency returns and carry risk premiums. In a cross-section of 2,000 biggest cryptocurrencies, only downside market risk, cryptocurrency size and policy uncertainty factors are systematically...

We examine the role of geopolitical risk in the cross-sectional pricing of cryptocurrencies. We calculate cryptocurrency exposure to changes in the geopolitical risk index and document that coins with the lowest geopolitical beta outperform those with high geopolitical beta. Our findings suggest...

This paper shows that non-linearities imposed by a neoclassical production function alone can generate time-varying and asymmetric risk premia over the business cycle. These (empirical) key features become relevant, and asset market implications improve substantially when we allow for...

We examine the effects of estimation risk and Bayesian learning on equilibrium asset prices when there is uncertainty about both the first and second moments of consumption and dividend growth rates. For the 1891-2007 period, our model generates a sizable average annual equity premium,...

This paper shows that non-linearities imposed by a neoclassical production function alone can generate time-varying and asymmetric risk premia over the business cycle. These (empirical) key features become relevant, and asset market implications improve substantially when we allow for...

This paper shows that non-linearities from a neoclassical production function alone can generate time-varying, asymmetric risk premia and predictability over the business cycle. These empirical key features become relevant when we allow for non-normalities in the form of rare disasters. We...