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The recent and rapidly growing interest in biofuel as a green energy source has raised concerns about its impact on the prices, returns and volatility of related agricultural commodities. Analyzing the spillover effects on agricultural commodities and biofuel helps commodity suppliers hedge...
Persistent link: https://www.econbiz.de/10011441704
The agricultural and energy industries are closely related, both biologically and financially. The paper discusses the relationship and the interactions on price and volatility, with special focus on the covolatility spillover effects for these two industries. The interaction and covolatility...
Persistent link: https://www.econbiz.de/10011490975
Biofuels have been evaluated based on their greenhouse gas emissions, costs, and potential scale of production. Here we propose that feedstock supply risks should be added to the list of key metrics for evaluating the performance and scalability potential of transportation biofuels. Biofuels...
Persistent link: https://www.econbiz.de/10013031398
This paper features an analysis of the cointegration relationships among agricultural commodity, ethanol and Cushing crude oil spot and futures prices. The use of grains for the creation of bio-fuels has sparked fears that these demands are inflating food prices. We analyse approximately 10...
Persistent link: https://www.econbiz.de/10011479769
Ethanol has been the subject of intense debate following the adoption of the Energy Policy Act of 2005 (EPAct) which established that the gasoline supply in the United States (U.S.) must contain 10% ethanol. This work seeks to identify hedging ratios using dynamic multivariate GARCH to best...
Persistent link: https://www.econbiz.de/10012979327
Persistent link: https://www.econbiz.de/10011833454
The purpose of the paper is to examine latent volatility Granger causality for four renewable energy Exchange Traded Funds (ETFs) and crude oil ETF (USO), namely solar (TAN), wind (FAN), water (PIO), and nuclear (NLR). Data on the renewable energy and crude oil ETFs are from 18 June 2008 to 20...
Persistent link: https://www.econbiz.de/10012918304
We estimate dynamic conditional correlations between 10 commodities futures returns in energy, metals and agriculture markets over the period 1998-2014 with a DCC-GARCH model. We look at the factors influencing those correlations, adopting a pooled mean group (PMG) estimator. Macroeconomic...
Persistent link: https://www.econbiz.de/10011451631
Energy and agricultural commodities and markets have been examined extensively, albeit separately, for a number of years. In the energy literature, the returns, volatility and volatility spillovers (namely, the delayed effect of a returns shock in one asset on the subsequent volatility or...
Persistent link: https://www.econbiz.de/10011295732
The purpose of the paper is to examine latent volatility Granger causality for four renewable energy Exchange Traded Funds (ETFs) and crude oil ETF (USO), namely solar (TAN), wind (FAN), water (PIO), and nuclear (NLR). Data on the renewable energy and crude oil ETFs are from 18 June 2008 to 20...
Persistent link: https://www.econbiz.de/10011869279