We present evidence that stock returns, at the market and individual stock level, can be predicted by the timing of uninformed investor cashflows that are known in advance. A core prediction of standard asset pricing models and the efficient market hypothesis is that such flows should not...

Recent artificial intelligence advances can be seen as improvements in prediction. We examine how such predictions should be priced. We model two inputs into decisions: a prediction of the state and the payoff or utility from different actions in that state. The payoff is unknown, and can only...

Combination of forecasts from survey data is complicated by the frequent entry and exit of individual forecasters which renders conventional least squares regression approaches infeasible. We explore the consequences of this issue for existing combination methods and propose new methods for...

This paper uses a life cycle model to predict the induced entry effects of a reduction in the effective tax rate applied to Social Security Disability Insurance recipients from 100% under the status quo to a 50% tax rate (i.e. $1 dollar benefit reduction for every $2 earned over a disregard...