We examine co-movements between biofuels and a wide range of commodities and assets in the US, Europe, and Brazil. We analyze a unique dataset of 33 commodities and relevant assets (between 2003 and 2016) which is unprecedented in the biofuels literature. We combine the minimum spanning trees...

We examine co-movements between biofuels (ethanol and biodiesel) and a wide range of commodities and assets in the USA, Europe, and Brazil. The main contributions are twofold. First, we analyze a unique dataset of 32 commodities and relevant assets (between 2003 and 2015) which is unprecedented...

The article investigates the connections between the prices of biofuels and many traded commodities and other relevant assets in Europe, USA and Brazil. The analysis uses a comprehensive dataset covering price data for 32 relevant traded titles over the period 2003-2015. Main contribution of...

This paper replicates and extends the study of Zhang et al. (2010): “Food versus fuel: What do prices tell us?” Energy Policy 38, pp. 445-451. We confirm the findings of the original paper that there was only a weak relationship between ethanol and food commodities in the period between...

This paper replicates and extends the study of Zhang et al. (2010): „Food versus fuel: What do prices tell us?" Energy Policy 38, pp. 445-451. We confirm the findings of the original paper that there was only a weak relationship between ethanol and food commodities in the period between March...

For the first time, we apply the wavelet coherence methodology on biofuels (ethanol and biodiesel) and a wide range of related commodities (gasoline, diesel, crude oil, corn, wheat, soybeans, sugarcane and rapeseed oil). This way, we are able to investigate dynamics of correlations in time and...