We propose a novel and numerically efficient quantification approach to forecast uncertainty of the real price of oil using a combination of probabilistic individual model forecasts. Our combination method extends earlier approaches that have been applied to oil price forecasting, by allowing...

The 2015 workshop on “Recent evolutions of oil and commodity prices”, organized by FEEM, focused on the sharp decline in the oil price in 2014. High crude oil production and slower demand growth explain a large fraction of the current low level of prices, but a complex set of factors is...

Information on economic policy uncertainty (EPU) does matter in predicting oil returns especially when accounting for omitted nonlinearities in the relationship between these two variables via a time-varying coefficient approach. In this work, we compare the forecastability of standard, Bayesian...

This paper constructs internationally consistent measures of macroeconomic uncertainty. Our econometric framework extracts uncertainty from revisions in data obtained from standardized national accounts. Applying our model to quarterly post-WWII real-time data, we estimate macroeconomic...

The aim of this study is to investigate the possible contagion risk coming from energy, food and metals commodity markets and to assess risk spillovers from biofuel to food commodity markets and from crude oil to food markets. To this purpose, we use the delta Conditional Value-at-Risk ΔCoVaR)...

The aim of this study is to investigate the possible contagion risk coming from energy, food and metals commodity markets and to assess risk spillovers from biofuel to food commodity markets and from crude oil to food markets. To this purpose, we use the delta Conditional Value-at-Risk CoVaR)...

This paper proposes to investigate the impact of financialization on energy markets (oil, gas, coal and electricity European forward prices) during both normal times and extreme fluctuation periods through an original behavioral and emotional approach. To this aim, we propose a new theoretical...

This paper proposes to investigate the impact of financialization on energy markets (oil, gas, coal and electricity European forward prices) during both normal times and extreme fluctuation periods through an original behavioral and emotional approach. To this aim, we propose a new theoretical...

We use machine learning methods to forecast individual stock returns in the Brazilian stock market, using a unique data set including technical and fundamental predictors. We find that portfolios formed on the highest quintile of predicted returns significantly outperform market benchmarks....