A couple of recent papers have shifted the focus towards disagreement of professional forecasters. When dealing with survey data that is sampled at a frequency higher than annual and that includes only fixed event forecasts, e.g. expectation of average annual growth rates measures of...

This paper studies the impact of political events that systematically undermined the Stability and Growth Pact (SGP) on the euro's foreign exchange expectation bias for the period 2001 to 2005. Our findings suggest that euro foreign exchange markets were attentive to the political dispute over...

Conventional approaches to examining the expectation hypothesis of interest rates assume a parametric linear specification among variables. In contrast, this paper tests the hypothesis using a flexible nonlinear inference approach proposed by Hamilton (2001). We examine the impact of the...

The goal of this paper is to develop a test for the relative importance of the time-varying term premium and the peso-problem for rejection of the Expectation Hypothesis of the Term Structure (EHTS). Our reasoning is based on a term structure model that allows for both phenomena simultaneously....

This paper studies the role of fluctuations in the aggregate price-earning ratio at different time scales for predicting stock returns and explore the channels through which returns are predicted. Using U.S. quarterly and international monthly data, we find that cycles in the price-earning ratio...

By means of Self-Organizing Maps we cluster fourteen European countries according to the most suitable way to model their agents' expectations. Using the financial crisis of 2008 as a benchmark, we distinguish between those countries that show a progressive anticipation of the crisis and those...

This paper provides an adaptive model depicting the interaction between the disclosure of interim earnings and the accuracy of earnings forecasts that are made public by security analysts. Our results indicate that accuracy of annual earnings forecasts is highly correlated with the announcement...

Previously we introduced Singular Spectrum Analysis SSA and its multivariate extension MSSA as a powerful tool for cleaning data. Here we compare MSSA with the data filling algorithm M-REM (Multivariate Regularized Expectation Maximization). We compare theoretical methodology, numerical...