Seasonal influenza outbreaks and pandemics of new strains of the influenza virus affect humans around the globe. However, traditional systems for measuring the spread of flu infections deliver results with one or two weeks delay. Recent research suggests that data on queries made to the search...

The objective of this research is to predict the movements of the S&P 500 index using variations of the recurrent neural network. The variations considered are the simple recurrent neural network, the long short term memory and the gated recurrent unit. In addition to these networks, we discuss...

This paper is the first to use the WeChat platform, one of the largest social networks, to conduct an online experiment of artificial investment games. We investigate how people's forecasts about the financial market and investment decisions are shaped by whether they can observe others'...

While finance studies propose that forecast-confidence motivates trading, the experimental findings regarding the anticipated confidence-trading link are inconclusive and typically insignificant. Attempting to bridge the gap, we modify the standard interval forecasting task to measure the...

Evolutionary explanations of anger as a commitment device hinge on two key assumptions. The first is that it is predictable, ex-ante, whether someone will get angry when feeling that they have been badly treated. The second is that anger is associated with destructive behavior. We test the...