Abstract

A vector autoregressive model containing ocean grain freight rates, grain shipments, idled tonnage, new carrier deliveries and fuel prices is used to evaluate dynamic linkages in the ocean grain transport market. Dynamic relationships are of particular importance in ocean freighting months because freighting services are often contracted several months before shipment. In addition, such markets may be slow to adjust to shocks because of significant short‐run fixities in shipping services. Ocean grain freight rates are found to be responsive to fuel prices and new ship deliveries, but are not affected by demand shocks. Ship idling rates are found to be sensitive to fuel prices, grain shipments and freight rates. Significant adjustment lags are revealed.

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