This study examines the small sample properties of GMM and ML estimators of non-linear models of covariance structure. The study focuses on the properties of parameter estimates and the Hansen (1982) and Newey (1985) model specification test. It use Monte Carlo simulations to consider the...

This paper examines the asymptotic and finite-sample properties of tests of equal forecast accuracy applied to direct, multi-step predictions from both non-nested and nested linear regression models. In contrast to earlier work -- including West (1996), Clark and McCracken (2001, 2005),and...

Motivated by the common finding that linear autoregressive models forecast better than models that incorporate additional information, this paper presents analytical, Monte Carlo, and empirical evidence on the effectiveness of combining forecasts from nested models. In our analytics, the...

A number of central banks use (published or unpublished) forecasts of goal variables as key ingredients in their decisions for instrument settings. This use of forecasts is modelled as a particular form of objective with the minimization of which the central bank is charged. We use an estimated...

In inflation targeting (IT) regimes, the Monetary Authority announces an explicit objective, the target for inflation. However, other objectives that possibly conflict with the inflation goal are present, such as keeping output close to its potential level and the stability of financial markets....