The Baltic Dry Index: cyclicalities, forecasting and hedging strategies

Fotis Papailias, Dimtrios Thomakos, Jiadong Liu

Research output: Contribution to journalArticle

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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 languageEnglish
Number of pages28
JournalEmpirical Economics
Early online date06 Apr 2016
Publication statusEarly online date - 06 Apr 2016

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