Decision-makers typically rely on informative starting points that are somewhat incorrect and then attempt to make appropriate adjustments. Such reliance on informative starting points may be an optimal response of a Bayesian decision-maker who faces finite computational resources (Lieder et al...

This paper systematically investigates the sources of differential out-of-sample predictive accuracy of heuristic frameworks based on internet search frequencies and a large set of econometric models. The volume of internet searches helps gauge the degree of investors' time-varying interest in...