Traditionally stationarity refers to shift invariance of the distribution of a stochastic process. In this paper, we rediscover stationarity as a path property instead of a distributional property. More precisely, we characterize a set of paths denoted as A, which corresponds to the notion of...

This paper provides a selected review of the recent developments and applications of mixture-of-normal (MN) distribution models in financial econometrics. One noted feature of the MN model is its flexibility in accommodating various shapes of continuous distributions, and its ability in...

In this paper, we examine a version of the Sargent (1978) and Kennan (1979) labor demand model under the assumption that the forcing processes are nonstationary. We derive a simple model of dynamic labor demand and highlight the important econometric and time-series implications of the...