Real gross domestic product (GDP) data in Turkey are released with a very long delay
relative those of to other economies, between 10 and 13 weeks after the end of the …

We nowcast world trade using machine learning, distinguishing between tree-based
methods (random forest, gradient boosting) and their regression-based counterparts …

We propose a dynamic factor model for now-casting the growth rate of the quarterly real
Canadian gross domestic product. We select a set of variables that are monitored by market …

I propose an econometric model to interpret the flow of macroeconomic data releases that
are useful to assess the state of the Mexican economy. I estimate the relevance of both …

Globalization has led to huge increases in import volumes. Since imports fluctuate heavily
over time, they are difficult to forecast and reliable leading indicators are needed. Our paper …

The term “nowcasting” is a contraction of the words “now” and “forecasting,” and it refers to
the prediction of the very recent past, the present, and the very near future. This word has …

Explaining the dispersion of economy-wide fluctuations, national and global, has been long
sought by economists. Short-and long-lived versions of economic fluctuations are …

This study contributes to research on the nonparametric evaluation of German trade
forecasts. To this end, I compute random classification and regression forests to analyze the …

Global container ship movements may reliably predict trade flows. First, this paper provides
the methodology to construct maritime shipping time series from a dataset comprising …

ABSTRACT I analyse the joint efficiency of export and import forecasts by leading economic
research institutes for the years 1970 to 2017 for Germany in a multivariate setting. To this …