Standard practice for the estimation of dynamic stochastic general equilibrium (DSGE) models maintains the assumption that economic variables are properly measured by a single indicator, and that all relevant information for the estimation is adequately summarized by a small number of data...

We explore whether forecasting an aggregate variable using information on its disaggregate components can improve the prediction mean squared error over forecasting the disaggregates and aggregating those forecasts, or using only aggregate information in forecasting the aggregate. An implication...

We extends the aggregate risk modeling approach to include the regime switching risk triggered by a `regime shift' in economic conditions and to uncertainty aversion (robust control). We use a regime switching process rather than the popular diffusion-jump process for a number of reasons....

Long-range dependence in volatility is one of the most prominent examples of applications in financial market research involving universal power laws. Its characterization has recently spurred attempts at theoretical explanation of the underlying mechanism. This paper contributes to this recent...

I present a fully-rational symmetric-information model of an IPO, as well as a dynamic imperfectly competitive model of the aftermarket trading that follows. The model helps explain why IPO share allocations favor large institutional investors. It also helps to explain IPO underpricing, and...