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News-based Sentiment Indicators / Chengyu Huang, Sean Simpson, Daria Ulybina, Agustin Roitman.

IMF eLibrary Available online

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Format:
Book
Government document
Author/Creator:
Huang, Chengyu.
Contributor:
Roitman, Agustin.
Simpson, Sean.
Ulybina, Daria.
Series:
IMF Working Papers; Working Paper ; No. 2019/273
IMF Working Papers
Language:
English
Subjects (All):
Financial crises.
Economic indicators.
Physical Description:
1 online resource (57 pages).
Place of Publication:
Washington, D.C. : International Monetary Fund, 2019.
Summary:
We construct sentiment indices for 20 countries from 1980 to 2019. Relying on computational text analysis, we capture specific language like “fear”, “risk”, “hedging”, “opinion”, and, “crisis”, as well as “positive” and “negative” sentiments, in news articles from the Financial Times. We assess the performance of our sentiment indices as “news-based” early warning indicators (EWIs) for financial crises. We find that sentiment indices spike and/or trend up ahead of financial crises.
Notes:
Description based on print version record.
ISBN:
9781513523170
1513523171
9781513523187
151352318X

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