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The value of foresight in the drybulk freight market

Vit Prochazka, Roar Adland and Stein Wallace

Transportation Research Part A: Policy and Practice, 2019, vol. 129, issue C, 232-245

Abstract: We analyze the value of foresight in the drybulk freight market when repositioning a vessel through space and time. In order to do that, we apply an optimization model on a network with dynamic regional freight rate differences and stochastic travel times. We evaluate the value of the geographical switching option for three cases: the upper bound based on having perfect foresight, the baseline set by a random strategy, and the case of perfect foresight but only for a limited time horizon. By combining a neural network with optimization, we can assess the impact of varying foresight horizons on economic performance. In a simple but realistic two-region case, we evaluate empirically that the upper bound for large vessels can be as high as 25% cumulative outperformance, and that a significant portion of this theoretical value can be captured with limited foresight of a few weeks. Our research sheds light on the important issue of spatial efficiency in global ocean freight markets and provides a useful upper bound for the value of investing in predictive analysis.

Keywords: Dry bulk market; Dynamic programming; Foresight (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)

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DOI: 10.1016/j.tra.2019.07.003

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