We investigate the directional accuracy of GDP and price forecasts by the Japanese government and the IMF with a new method developed by Pesaran and Timmermann [Pesaran, M.H., Timmermann, A., 2009. Testing dependence among serially correlated multi-category variables. Journal of the American...

We investigate the directional accuracy of GDP and price forecasts by the Japanese government and the IMF with a new method developed by Pesaran and Timmermann [Pesaran, M.H., Timmermann, A., 2009. Testing dependence among serially correlated multi-category variables. Journal of the American...

This paper formulates an Early Warning System (EWS) for systemic risks based on forecasts of Expected Shortfalls (ES) of real and financial indicators integrated with structural stress-tests via a structural VAR. The EWS delivers early warning signals as probabilities of tail risk realizations,...

This paper focuses on forecasting quarterly energy prices of commodities, such as oil, gas and coal, using the Global VAR dataset proposed by Mohaddes and Raissi (2018). This dataset includes a number of potentially informative quarterly macroeconomic variables for the 33 largest economies,...

In this paper we propose a new indicator of monthly global real economic activity, named world steel production. We use world steel production, OECD industrial production index and Kilian's rea index to forecast world real GDP, and key commodity prices. We find that world steel production...

The global financial crisis (2008-09) led to a sharp contraction in both Euro Area (EA) and US real activity, and was followed by a long-lasting slump. However, the post-crisis adjustment in the EA and the US shows striking differences—in particular, the EA slump has been markedly more...

In modelling macroeconomic time series, often a monthly indicator of global real economic activity is used. We propose a new indicator, named World steel production, and compare it to other existing indicators, precisely the Kilian's index of global real economic activity and the index of OECD...

This paper focuses on forecasting quarterly energy prices of commodities, such as oil, gas and coal, using the Global VAR dataset proposed by Mohaddes and Raissi (2018). This dataset includes a number of potentially informative quarterly macroeconomic variables for the 33 largest economies,...

In modelling macroeconomic time series, often a monthly indicator of global real economic activity is used. We propose a new indicator, named World steel production, and compare it to other existing indicators, precisely the Kilian's index of global real economic activity and the index of OECD...

In modelling macroeconomic time series, often a monthly indicator of global real economic activity is used. We propose a new indicator, named World steel production, and compare it to other existing indicators, precisely the Kilian's index of global real economic activity and the index of OECD...