Optimal futures hedging is examined in a two-good model with stochastic output and sequential information arrival. A producer’s optimal hedge depends on demand elasticity, sensitivity of his output to weather. his correlation with aggregate output, and how rapidly his output uncertainty is resolved relative to other producers during different seasonal periods. Because regional output uncertainties are resolved at different times, the optimal futures position of a grower will commonly reverse in direction during the crop year. A producer with non-stochastic output who faces price risk arising from demand shocks may remain unhedged or even maintain a long position, Journa / qf Economic Liferature Classification Numbers: 022. 521. 714.:( ’ 199...
This paper provides an integrative survey of literature on commodity futures markets, on storage and...
This study examines the behavior of the competitive firm under output price uncertainty and state-de...
We develop and estimate a multifactor affine model of commodity futures that allows for stochastic s...
This paper examines how commodity futures can optimally be used by farmers to reduce exposure to pri...
Abstract only with price risk (Ward and Fletcher; Peck). Subsequently, research has consideredIncorp...
A firm model of production and hedging decisions is developed using a mean-variance preference funct...
This paper analyses the optimal hedging decisions for risk-averse producers facing crop risk, assumi...
In agricultural markets, producers incur price and production risks as well as other risks related t...
A theoretical optimal hedging model is developed to determine potential demand from Australian farme...
"Original authors: Joe Parcell and Vern Pierce""Producers of agricultural commodities regularly face...
Producers of agricultural commodities regularly face price and production risks. Furthermore, increa...
We consider the hedging problem of a firm that has three sources of risk: price, basis, and yield un...
The most important minimum-variance hedge-ratio assumptions are (a) that produc-tion is deterministi...
Producers of agricultural commodities regularly face price and production risk. Furthermore, increas...
New types of crop insurance have expanded the tools from which crop producers may choose to manage r...
This paper provides an integrative survey of literature on commodity futures markets, on storage and...
This study examines the behavior of the competitive firm under output price uncertainty and state-de...
We develop and estimate a multifactor affine model of commodity futures that allows for stochastic s...
This paper examines how commodity futures can optimally be used by farmers to reduce exposure to pri...
Abstract only with price risk (Ward and Fletcher; Peck). Subsequently, research has consideredIncorp...
A firm model of production and hedging decisions is developed using a mean-variance preference funct...
This paper analyses the optimal hedging decisions for risk-averse producers facing crop risk, assumi...
In agricultural markets, producers incur price and production risks as well as other risks related t...
A theoretical optimal hedging model is developed to determine potential demand from Australian farme...
"Original authors: Joe Parcell and Vern Pierce""Producers of agricultural commodities regularly face...
Producers of agricultural commodities regularly face price and production risks. Furthermore, increa...
We consider the hedging problem of a firm that has three sources of risk: price, basis, and yield un...
The most important minimum-variance hedge-ratio assumptions are (a) that produc-tion is deterministi...
Producers of agricultural commodities regularly face price and production risk. Furthermore, increas...
New types of crop insurance have expanded the tools from which crop producers may choose to manage r...
This paper provides an integrative survey of literature on commodity futures markets, on storage and...
This study examines the behavior of the competitive firm under output price uncertainty and state-de...
We develop and estimate a multifactor affine model of commodity futures that allows for stochastic s...