Sudden big price changes are followed by periods of high and persistent volatility. I develop a tractable dynamic rational expectations model consistent with this observation. An infinity of agents possess dispersed information about future dividends and trade in centralized markets. Information...

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...

Most option pricing models assume all parameters except volatility are fixed; yet they almost invariably change on re-calibration. This paper explains how to capture the model risk that arises when parameters that are assumed constant have calibrated values that change over time and how to use...

We investigate changes in the time series characteristics of postwar U.S. inflation. In a model-based analysis the conditional mean of inflation is specified by a long memory autoregressive fractionally integrated moving average process and the conditional variance is modelled by a stochastic...

This paper investigates the time-varying impacts of international macroeconomic uncertainty shocks. We use a global vector autoregressive (GVAR) specification with drifting coefficients and factor stochastic volatility in the errors to model six economies jointly. The measure of uncertainty is...