Improving the Short-term Forecast of World Trade During the Covid-19 Pandemic Using Swift Data on Letters of Credit
November 13, 2020
Preview Citation
Format: Chicago
Disclaimer: IMF Working Papers describe research in progress by the author(s) and are published to elicit comments and to encourage debate. The views expressed in IMF Working Papers are those of the author(s) and do not necessarily represent the views of the IMF, its Executive Board, or IMF management.
Summary
Subject: Exports, Imports, International trade, Oil prices, Prices, Trade balance, Trade finance
Keywords: Africa, Asia and Pacific, Baltics, Brent crude oil price, Exports, Global, Imports, Letter of credit, Linear regression forecast, Machine learning, Merchandise trade, Oil prices, SWIFT, Trade advance, Trade balance, Trade finance, Trade forecast, Trade message, World trade, World trade sample, WP
Publication Details
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Pages:
71
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Volume:
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DOI:
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Issue:
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Series:
Working Paper No. 2020/247
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Stock No:
WPIEA2020247
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ISBN:
9781513561196
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ISSN:
1018-5941