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...

Agribusiness companies and farmers must cope with the risk of price changes when buying or selling agricultural commodities. Hedging price risk with agricultural commodity futures offers a way of minimizing this risk. Information is needed on the hedging effectiveness of these futures. Because...

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...

The lack of sufficient market depth particularly in many newly initiated futures markets results in relatively high hedging costs, and this inhibits the growth of futures contract volume. In this article the price path due to order imbalances is analyzed and a two-dimensional market depth...

This paper proposes a test for orthogonality of the errors in a vector error-correction model (VECM) that focuses on the recursive ordering among the contemporaneously correlated errors. The test is based on the fact that when the frequency of the data is sufficiently low one of the variables in...