This paper summarizes the main findings of the results in the literature on the role of ethanol in reducing retail gasoline prices in the United States. We provide a comprehensive overview of the key results and methodologies used to obtain them. The paper documents the growing research interest...

We analyze the relationships within the liquid fuels system and its associated supply chain using innovative network filtering methods, namely the Minimum Spanning Tree and Triangulated Maximally Filtered Graph. Our findings reveal that biofuels form robust connections with their feedstocks that...

We analyze the relationships within the liquid fuels system and its associated supply chain using innovative network filtering methods, namely the Minimum Spanning Tree and Triangulated Maximally Filtered Graph. Our findings reveal that biofuels form robust connections with their feedstocks that...

Oil price shocks, which materialize in petrol prices, put severe inflationary pressures on countries that rely largely on fossil fuels, causing financial instability. The Renewable Fuel Standard (RFS) program, implemented in the USA in 2005, sanctions blending corn-based ethanol with fuel and...

This paper summarizes the main findings of the results in the literature on the role of ethanol in reducing retail gasoline prices in the United States. We provide a comprehensive overview of the key results and methodologies used to obtain them. The paper documents the growing research interest...

In this paper we construct a "reflexivity" index for Bitcoin crypto currency that measures the amount of activity generated endogenously within the market. For this purpose we fit a univariate self-exciting Hawkes process with two-classes of parametric kernels to high-frequency trade data that...

Cryptocurrencies exhibit unique statistical and dynamic properties compared to those of traditional financial assets, making the study of their volatility crucial for portfolio managers and traders. We investigate the volatility connectedness dynamics of a representative set of eight major...

In this paper we construct a "reflexivity" index for Bitcoin crypto currency that measures the amount of activity generated endogenously within the market. For this purpose we fit a univariate self-exciting Hawkes process with two-classes of parametric kernels to high-frequency trade data that...

Cryptocurrencies exhibit unique statistical and dynamic properties compared to those of traditional financial assets, making the study of their volatility crucial for portfolio managers and traders. We investigate the volatility connectedness dynamics of a representative set of eight major...

Cryptocurrencies exhibit unique statistical and dynamic properties compared to those of traditional financial assets, making the study of their volatility crucial for portfolio managers and traders. We investigate the volatility connectedness dynamics of a representative set of eight major...