We consider the problem of ex-ante forecasting conditional correlation patterns using ultra high frequency data. Flexible semiparametric predictors referring to the class of dynamic panel and dynamic factor models are adopted for daily forecasts. The parsimonious set up of our approach allows to...

We study the dynamics of a Lucas-tree model with finitely lived agents who "learn from experience." Individuals update expectations by Bayesian learning based on observations from their own lifetimes. In this model, the stock price exhibits stochastic boom-and-bust fluctuations around the...

This paper provides micro-econometric evidence on the relevance of non-market interaction for the timing of initial public offerings (IPOs) in the French and German primary equity markets. The surge of IPO volume in the late 1990s appears to be consistent with rational expectations, not with...