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...

For the biofuel markets and related commodities, we study their price transmission, which is in fact equivalent to studying price cross-elasticities. Importantly, we focus on the price dependence of the price transmission mechanism. Several methodological caveats are discussed. Specifically, we...

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...

This paper connects the biofuels literature with genetic modifications literature by considering the potential of genetic modifications for increasing the efficiency of cellulosic biofuels production. This is done for one particular case through analyzing the effect of genetically modified corn...

In this paper, we analyze the relationships between the prices of biodiesel, ethanol and related fuels and agricultural commodities with a use of minimal spanning trees and hierarchical trees. We find that in short-term, both ethanol and biodiesel are very weakly connected with the other...