We use the classic agency model to derive a time-varying optimal hedge ratio for low-frequency time-series data: the type of data used by crop farmers when deciding about production and about their hedging strategy. Rooted in the classic agency framework, the proposed hedge ratio reflects the context of both the crop farmer's decision and the crop farmer's contractual relationships in the marketing channel. An empirical illustration of the dutch ware potato sector and its futures market in amsterdam over the period 1971–2003 reveals that the time-varying optimal hedge ratio decreased from 0.34 in 1971 to 0.24 in 2003. The hedging effectiveness, according to this ratio, is 39%. These estimates conform better with farmers’ interest in using f...
The relationship between a hedger's objectives, choice of hedging market, and optimal hedge ratio is...
We apply the classic agency model to investigate risk shifting in an agricultural marketing channel,...
Brazilian agribusiness has stood out in recent years for its efficiency and productivity growth, bas...
We use the classic agency model to derive a time-varying optimal hedge ratio for low-frequency time-...
We use the classic agency model to derive a time-varying optimal hedge ratio for low-frequency time-...
We use the classic agency model to derive a time-varying optimal hedge ratio for low-frequency time-...
We specify a principal-agent marketing channel involving producers, wholesalers, retailers and a fut...
This paper deals with the estimation of optimal hedge ratios. A number of recent papers have demons...
The use of autoregressive conditional heteroskedasticity (ARCH) models to estimate time-varying hedg...
Standard static hedging models employing futures contracts yield poor results for most commodities, ...
The purpose of this paper is to determine and contrast the risk mitigating effectiveness from optima...
This paper investigates the hedging effectiveness of time-varying hedge ratios in the agricultural c...
This paper investigates the hedging effectiveness of time-varying hedge ratios in the agricultural c...
Commodity cash and futures prices have been rising steadily since 2006. As evidenced by the April 20...
We apply the classic agency model to investigate risk shifting in an agricultural marketing channel,...
The relationship between a hedger's objectives, choice of hedging market, and optimal hedge ratio is...
We apply the classic agency model to investigate risk shifting in an agricultural marketing channel,...
Brazilian agribusiness has stood out in recent years for its efficiency and productivity growth, bas...
We use the classic agency model to derive a time-varying optimal hedge ratio for low-frequency time-...
We use the classic agency model to derive a time-varying optimal hedge ratio for low-frequency time-...
We use the classic agency model to derive a time-varying optimal hedge ratio for low-frequency time-...
We specify a principal-agent marketing channel involving producers, wholesalers, retailers and a fut...
This paper deals with the estimation of optimal hedge ratios. A number of recent papers have demons...
The use of autoregressive conditional heteroskedasticity (ARCH) models to estimate time-varying hedg...
Standard static hedging models employing futures contracts yield poor results for most commodities, ...
The purpose of this paper is to determine and contrast the risk mitigating effectiveness from optima...
This paper investigates the hedging effectiveness of time-varying hedge ratios in the agricultural c...
This paper investigates the hedging effectiveness of time-varying hedge ratios in the agricultural c...
Commodity cash and futures prices have been rising steadily since 2006. As evidenced by the April 20...
We apply the classic agency model to investigate risk shifting in an agricultural marketing channel,...
The relationship between a hedger's objectives, choice of hedging market, and optimal hedge ratio is...
We apply the classic agency model to investigate risk shifting in an agricultural marketing channel,...
Brazilian agribusiness has stood out in recent years for its efficiency and productivity growth, bas...