Partial least squares regression (PLS) is one method to estimate parameters in a linear model when predictor variables are nearly collinear. One way to characterize PLS is in terms of the scaling (shrinkage or expansion) along each eigenvector of the predictor correlation matrix. This...

In this paper, we provided a unifying analysis of latent variable models in finance through the concept of stochastic discount factor (SDF).

This paper develops and estimates a structural, latent variable, model for the hidden economy in New Zealand, and a separate currency-demand model. The estimated latent variable model is used to generate an historical time-series index of hidden economic activity, which is calibrated via the...

This paper investigates the testable restrictions on the time-series behavior of equity premia implied by a representative agent model whose state- and time-non separable preferences are subject to taste shocks. The model nests state- and time-separable preferences with and without taste shocks...