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 time-to-delivery effects, seasonality, calendar trend, and volatility persistence. We find strong evidence of time-to-delivery (Samuelson) effects and systematic seasonal components with volatility increasing prior to harvest times— an indirect confirmation of the theory of storage
This paper examines the seasonal patterns evident in the volatility of corn futures prices. It adds ...
Fluctuations in commodity prices are a major concern to many market participants. This paper uses re...
In this paper, we examine the temporal stability of the evidence for two commodity futures pricing t...
We analyze the determinants of daily futures price volatility in corn, soybeans, wheat, and oats mar...
We study the difference in the volatility dynamics of CBOT corn, soybeans, and oats futures prices a...
This study analyzes the time series statistical properties of wheat futures prices to determine whet...
This study analyzes the time-series statistical properties of wheat futures prices to determine whet...
Prices of many commodities, including wheat, exhibit stochastic patterns in volatility. This thesis ...
Significant changes have taken place in grain futures markets. This dissertation consists of three e...
The United States Department of Agriculture provides information about fundamental supply and demand...
This paper sets up and estimates a continuous-time stochastic volatility model using panel data of s...
2 This paper examines the seasonal patterns evident in the volatility of corn futures prices. It add...
In commodity futures markets, contracts with various delivery dates trade simultaneously. Applied re...
In this paper, we extend previous studies and test two commodity fu-tures pricing theories. We stren...
Graduation date: 1987Forward pricing is a marketing tool available to Pacific\ud Northwest white whe...
This paper examines the seasonal patterns evident in the volatility of corn futures prices. It adds ...
Fluctuations in commodity prices are a major concern to many market participants. This paper uses re...
In this paper, we examine the temporal stability of the evidence for two commodity futures pricing t...
We analyze the determinants of daily futures price volatility in corn, soybeans, wheat, and oats mar...
We study the difference in the volatility dynamics of CBOT corn, soybeans, and oats futures prices a...
This study analyzes the time series statistical properties of wheat futures prices to determine whet...
This study analyzes the time-series statistical properties of wheat futures prices to determine whet...
Prices of many commodities, including wheat, exhibit stochastic patterns in volatility. This thesis ...
Significant changes have taken place in grain futures markets. This dissertation consists of three e...
The United States Department of Agriculture provides information about fundamental supply and demand...
This paper sets up and estimates a continuous-time stochastic volatility model using panel data of s...
2 This paper examines the seasonal patterns evident in the volatility of corn futures prices. It add...
In commodity futures markets, contracts with various delivery dates trade simultaneously. Applied re...
In this paper, we extend previous studies and test two commodity fu-tures pricing theories. We stren...
Graduation date: 1987Forward pricing is a marketing tool available to Pacific\ud Northwest white whe...
This paper examines the seasonal patterns evident in the volatility of corn futures prices. It adds ...
Fluctuations in commodity prices are a major concern to many market participants. This paper uses re...
In this paper, we examine the temporal stability of the evidence for two commodity futures pricing t...