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We study the difference in the volatility dynamics of CBOT corn, soybeans, and oatsfutures prices across different delivery horizons via the smoothed Bayesian estimatorof Karali, Dorfman, and Thurman (2010). We show that the futures price volatilitiesin these markets are affected by the...
Persistent link: https://www.econbiz.de/10009446386
We study the difference in the volatility dynamics of CBOT corn, soybeans, and oats futures prices across different delivery horizons via the smoothed Bayesian estimator of Karali, Dorfman, and Thurman (2010). We show that the futures price volatilities in these markets are affected by the...
Persistent link: https://www.econbiz.de/10009368381
We estimate a model of common and commodity-specific, high- and low-frequency factors, built on the spline-GARCH model of Engle and Rangel (2008) to explain the period of exceptionally high price volatility in commodity markets during 2006-2008. We find that decomposing realized volatility into...
Persistent link: https://www.econbiz.de/10004979704
Biodiesel has recently drawn attention because of its potential to make an important contribution to national energy security and the environment. However, the rapid growth of biodiesel has raised concerns about biodiesel’s impact on the price level and volatility of agricultural commodities....
Persistent link: https://www.econbiz.de/10010915014
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Many risk management strategies, including hedging the price risk using forward or futures contracts require accurate forecasts of basis, i.e., spot price minus the futures price. Recent literature in this area has applied nonlinear time-series models, which are refinements of the linear...
Persistent link: https://www.econbiz.de/10011068503
This study incorporates Real Options to determine the conditions under which it would be profitable for a regional shipping company to consider CNG (Compressed Natural Gas) as opposed to conventional diesel for the heavy-duty truck fleets. Such analysis can avoid the shipping industry adopting...
Persistent link: https://www.econbiz.de/10011068730
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We apply the Distributional Event Response Model (DERM), which is appropriate in studying relatively slowly-evolving information events, to nineteen years of daily crude oil futures returns and volatility to analyze the pattern of market responses to selected events. The results show that all...
Persistent link: https://www.econbiz.de/10011069106