In this paper we concentrate on the hypothesis that the empirical rejections of the Expectations Theory(ET) of the term structure of interest rates can be caused by improper modelling of expectations. Our starting point is an interesting anomaly found by Campbell-Shiller(1987), when by taking a...

Even if there is a fairly large evidence against the Expectations Hypothesis (EH) of the term structure of interest rates, there still seems to be an element of truth in the theory which may be exploited for forecasting and simulation. This paper formalizes this idea by proposing a way to use...

We propose a way to test the New Keynesian Phillips Curve (NKPC) without estimating the structural parameters governing the curve, i.e. price stickiness and firms' backwardness. Using this strategy we can test the NKPC avoiding the identification problems related to the GMM approach. We find...

In this paper we propose a strategy for forecasting the term structure of interest rates which may produce significant gains in predictive accuracy. The key idea is to use the restrictions implied by Affine Term Structure Models (ATSM) on a vector autoregression (VAR) as prior information rather...

In this Paper we concentrate on the hypothesis that the empirical rejections of the Expectations Theory (ET) of the term structure of interest rates can be caused by improper modeling of expectations. Our starting point is an interesting anomaly found by Campbell-Shiller (1987), when by taking a...

We propose a way to test the New Keynesian Phillips Curve without having to estimate its structural parameters. We find that it does not exist as a combination of the structural parameters consistent with the US data. This might be due to the failure of the joint hypothesis of rational expectations.

In this paper, we test the uncovered interest rate parity (UIRP), allowing for transitory deviations from it. These deviations may arise from variations in risk premia, errors in expectations and linearization errors, and are modelled as a zero-mean noise around the restrictions implied by the...

We develop a general framework for analyzing the usefulness of imposing parameter restrictions on a forecasting model. We propose a measure of the usefulness of the restrictions that depends on the forecaster's loss function and that could be time varying. We show how to conduct inference about...