 | Improving the Short-term Forecast of World Trade During the Covid-19 Pandemic Using Swift Data on Letters of Credit Author/Editor: Benjamin Carton, Nan Hu, Joannes Mongardini, Kei Moriya, Aneta Radzikowski. Release Date:November, 2020 An essential element of the work of the Fund is to monitor and forecast international trade. This paper uses SWIFT messages on letters of credit, together with crude oil prices and new export orders more...
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