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'...

Ausführliche Beschreibung

Bibliographische Detailangaben
1. Verfasser: Huang, Chengyu
Weitere Verfasser: Roitman, Agustin, Simpson, Sean, Ulybina, Daria
Format: Zeitschrift
Sprache:English
Veröffentlicht: Washington, D.C. : International Monetary Fund, 2019.
Schriftenreihe:IMF Working Papers; Working Paper ; No. 2019/273
Online Zugang:Full text available on IMF