In his overview of IFC Bulletin No 44 (September 2017), Bruno Tissot of the BIS reports a Central Bank of Aruba presentation as finding that machine learning models can incorporate seasonal patterns, non-linearities and lagged effects without ex ante assumptions and appear efficient in predictive capacity for nowcasting tourism data.

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