The lack of developed financial markets and well-functioning transmission channels assigns monetary aggregates in emerging economies the potential role of nominal anchor, intermediate target, or informational variable for monetary policy. The effectiveness of this approach relies crucially on...

In this paper we propose a novel approach to obtain the predictive density of global GDP growth. It hinges upon a bottom-up probabilistic model that estimates and combines single countries' predictive GDP growth densities, taking into account cross-country interdependencies. Specifically,we...

This paper shows that newspaper articles contain timely economic signals that can materially improve nowcasts of real GDP growth for the euro area. Our text data is drawn from fifteen popular European newspapers, that collectively represent the four largest Euro area economies, and are machine...

Using annual time series data on GDP per capita for Rwanda from 1960 to 2017, the study analyzes GDP per capita using the Box – Jenkins ARIMA technique. The ADF tests showed that Rwandan GDP per capita data is I (1). Based on the AIC and the Theil's U, the study presents the ARIMA (3, 1, 1)...

Machine Learning models are often considered to be "black boxes" that provide only little room for the incorporation of theory (cf. e.g. Mukherjee, 2017; Veltri, 2017). This article proposes so-called Dynamic Factor Trees (DFT) and Dynamic Factor Forests (DFF) for macroeconomic forecasting, which...