Introducing learning into a standard asset pricing model improves considerably its empirical performance. In a model of learning where today's stock price is determined by the expectation of tomorrow's stock price, the dynamics of expectations and actual price are such that the market has...

The question we ask is: within the set of a three-period-lived OLG economies with a stochastic endowment process, a stochastic dividend process, and sequentially complete markets, under what set of conditions may a set of government transfers dynamically Pareto dominate the laissez faire...

In this paper we show the extent that home ownership varies over the life-cycle and differs by cohort and by education. We explain these differences in a calibrated model of life-cycle behaviour where households choose labour supply and consumption and also home-ownership status. Home-ownership...

Options are believed to contain unique information about the risk-neutral probability density function or risk-neutral moment generating function (mgf hereafter). The wavelet approach is appealing in approximating or reconstructing time-varying functions and it provides a natural platform for...

The objective of this paper is to determine whether information from equity markets, as summarized in the distance to default measure derived from Merton-MKMV, is useful for modeling and predicting bank credit ratings. We use the BankScope database and Bloomberg to build a data set comprising of...