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'...

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Détails bibliographiques
Auteur principal: Huang, Chengyu
Autres auteurs: Roitman, Agustin, Simpson, Sean, Ulybina, Daria
Format: Revue
Langue:English
Publié: Washington, D.C. : International Monetary Fund, 2019.
Collection:IMF Working Papers; Working Paper ; No. 2019/273
Accès en ligne:Full text available on IMF