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usefulness for forecasting real oil prices and global petroleum consumption. We find that world industrial production is one of …
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. In this paper we focus on forecasting tail risks in the oil market by setting up a general empirical framework that …
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forecasting daily electricity prices in two of the main European markets, Germany and Italy. We do that by means of mixed …-frequency models, introducing a Bayesian approach to reverse unrestricted MIDAS models (RU-MIDAS). We study the forecasting accuracy …
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This paper evaluates the predictability of WTI light sweet crude oil futures by using the variance risk premium, i.e. the difference between model-free measures of implied and realized volatilities. Additional regressors known for their ability to explain crude oil futures prices are also...
Persistent link: https://www.econbiz.de/10010189497
We investigate the predictive power of several leading indicators in order to forecast industrial production in Germany. In addition, we compare their predictive performance with variables from two competing categories, namely macroeconomic and financial variables. The predictive power within...
Persistent link: https://www.econbiz.de/10012149544
been applied to oil price forecasting, by allowing for sequentially updating of time-varying combination weights …
Persistent link: https://www.econbiz.de/10012544443
In 2016 the Central Bank of Argentina began to announce inflation targets. In this context, providing authorities with good estimates of relevant macroeconomic variables is crucial for making pertinent corrections in order to reach the desired policy goals. This paper develops a group of models...
Persistent link: https://www.econbiz.de/10011882797