We suggest that the real exchange rate between the major currencies in the post-Bretton Woods period can be described by a stationary, two state Markov switching AR(1) model. Based on the forecast performance, both in-sample and out-of-sample, we find that this model out-performs two competing...

The aggregation of the variables that compose an indicator, as GDP, which should beforecasted, is not mentioned explicitly in literature as a source of forecasts uncertainty. In thisarticle we demonstrate that variables aggregation is an important source of uncertainty inforecasting and we...

The paper evaluates the quality of the German national accounting data (GDP and its use-side components) as measured by the magnitude and dispersion of the forecast/ revision errors. It is demonstrated that government consumption series are the least reliable, whereas real GDP and real private...

Forecasting current quarter GDP is a permanent task inside the central banks. Many models are known and proposed to solve this problem. Thanks to new results on the asymptotic normality of the multivariate k-nearest neighbor regression estimate, we propose an interesting and new approach to...

Technological developments and the global economic crisis are two types of developments that have affected the commercial airline industry in the last decade. This paper investigates time series analysis of the airline industry. The research has been conducted and is being presented, in a number...

We conduct a detailed simulation study of the forecasting performance of diffusion index-based methods in short samples with structural change. We consider several data generation processes, to mimic different types of structural change, and compare the relative forecasting performance of factor...