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...

In this paper, we introduce the weighted-average quantile regression model. We argue that this model is of interest in many applied settings and develop an estimator for parameters of this model. We show that our estimator is √T-consistent and asymptotically normal with mean zero under weak...

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...

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 cluster asset pricing factors using the t-distributed Stochastic Neighborhood Embedding (t-SNE), one of the most empirically successful dimensionality reduction techniques. t-SNE endogenously separates the strategies into six distinct clusters. The first five clusters resemble the standard...