The paper applies methods of functional data analysis – functional auto-regression, principal components and canonical correlations – to the study of the dynamics of interest rate curve. In addition, it introduces a novel statistical tool based on the singular value decomposition...

Recently there have been several studies that examined monetary policy under model uncertainty. These studies formulated uncertainty in a number of different ways. One of the prominent ways to formulate model uncertainty is to form a non-parametric set of perturbations around some nominal model...

We consider the problem of forecasting a single time series, y(t+1), using a linear regression model with k predictor variables, X(t), when each predictor makes a small but nonzero marginal contribution to the forecast. It is well known that OLS is inadmissable when k is at least 3. Although...