Quantifying the relationship between seaborne trade and shipping freight rates: A Bayesian vector autoregressive approach
We employ a Bayesian Vector Autoregressive methodology, to counter the issue of data availability, and explore the relationship between seaborne commodity trade and freight rates. Our results show three important insights: first and foremost, the quantity of seaborne commodity trade has a strong imp...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-01-01
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| Series: | Maritime Transport Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666822X20300010 |