News-based Sentiment Indicators /
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'...
| Yazar: | |
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| Diğer Yazarlar: | , , |
| Materyal Türü: | Dergi |
| Dil: | English |
| Baskı/Yayın Bilgisi: |
Washington, D.C. :
International Monetary Fund,
2019.
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| Seri Bilgileri: | IMF Working Papers; Working Paper ;
No. 2019/273 |
| Online Erişim: | Full text available on IMF |