Showing 1 - 10 of 10
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
Replaced with revised version of paper 07/15/08.
Persistent link: https://www.econbiz.de/10005804633
We analyze time-varying volatility in crude oil, heating oil, and natural gas futuresmarkets by incorporating changes in important macroeconomic variables and majorpolitical and weather-related events in conditional variance equations. We allow eachmarket to respond to positive news different...
Persistent link: https://www.econbiz.de/10009444321
Persistent link: https://www.econbiz.de/10012114862
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
Most financial asset returns exhibit volatility persistence. We investigate this phenomenon in the context of daily returns in commodity futures markets. We show that the time gap between the arrival of news to the markets and the delivery time of futures contracts is the fundamental variable in...
Persistent link: https://www.econbiz.de/10005525099
Replaced with revised version of paper 07/22/11.
Persistent link: https://www.econbiz.de/10009020960
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
We analyze the determinants of daily futures price volatility in corn, soybeans, wheat, and oats markets from 1986 to 2007. Combining the information from simultaneously traded contracts, a generalized least squares method is implemented that allows us to clearly distinguish among...
Persistent link: https://www.econbiz.de/10008643478