We examine the effects of parameter uncertainty and Bayesian learning on equilibrium asset prices when all the structural parameters of the aggregate consumption and dividend growth rate processes are unknown. With realistic calibration of a parsimonious set of prior parameters, the model...

A representative consumer uses Bayes' law to learn about parameters of several models and to construct probabilities with which to perform ongoing model averaging. The arrival of signals induces the consumer to alter his posterior distribution over models and parameters. The consumer's...

We explore the impact of fake news on asset price dynamics within the asset-pricing model of Brock and Hommes (1998). By polluting the information landscape, fake news interferes with agents' perception of the dividend process of the risky asset. Our analysis reveals that fake news decreases the...

We show that, in a frictionless and efficient market, an asset pricing model that better describes investors' behavior should better forecast stock index returns. We propose a dividend model that predicts, out-of-sample, 31.3% of the variation in annual dividend growth rates (1976-2015)....

We develop a model in which innovations in an economy's growth potential are an important driving force of the business cycle. The framework shares the emphasis of the recent new shock literature on revisions of beliefs about the future as a source of fluctuations, but differs by tying these...

We develop a model in which innovations in an economy's growth potential are an important driving force of the business cycle. The framework shares the emphasis of the recent "new shock" literature on revisions of beliefs about the future as a source of fluctuations, but differs by tieing these...