We explore the relationship between two novel Twitter-based measures of economic and market uncertainty and the performance of four major cryptocurrencies. Using a battery of methods - quantile regressions, Granger-causality in distributions using copula functions, and directional predictability...

We examine return predictability with machine learning in 46 international stock markets. We calculate 148 stock characteristics and use them to feed a repertoire of different models. The algorithms extract predictability mainly from simple, yet popular, factor types—such as momentum,...

The paper concerns an issue of existence of a risk premium in equity and index futures markets. The paper consists of four parts. The first part describes the basic hypotheses of forward curves in the futures market. In the second section, I formulate 5 hypotheses concerning a risk premium in...

The relationship between air temperature and sovereign bond returns is founded on competing paradigms: macroeconomic, behavioral, and energy demand-based. Which of these theoretical mechanisms receives support from data? To answer this, we examine four decades of bond data from 31 countries....