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,...

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 introduce a global factor-augmented error correction model to quantify the interaction of oil price with the global economy. Global factors are constructed for global oil price and global interest rate, money, real output and inflation over 1999-2012. The global factors are...

We construct a GFAVAR model with newly released global data from the Federal Reserve Bank of Dallas to investigate the drivers of official/policy interest rate. We find that 62% of movement in global official/policy interest rates is attributed to changes in global monetary aggregates (21%), oil...