Abstract
The cyclical properties of the Baltic Dry Index (BDI) and their implications for forecasting performance are investigated. We find that changes in the BDI can lead to permanent shocks to trade of major exporting economies. In our forecasting exercise, we show that commodities and trigonometric regression can lead to improved predictions and then use our forecasting results to perform an investment exercise and to show how they can be used for improved risk management in the freight sector.
Original language | English |
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Pages (from-to) | 255-282 |
Journal | The Empirical Economics Letters |
Volume | 52 |
Issue number | 1 |
Early online date | 6 Apr 2016 |
DOIs | |
Publication status | Published - 1 Feb 2017 |