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' 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

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Year of publication:	2020
Authors:	Huang, Chengyu
Other Persons:	Simpson, Sean (contributor) ; Ulybina, Daria (contributor) ; Roitman, Agustin (contributor)
Publisher:	[2020]: [S.l.] : SSRN
Subject:	Wirtschaftsindikator \| Economic indicator \| Anlageverhalten \| Behavioural finance \| Emotion \| Theorie \| Theory \| Frühindikator \| Leading indicator \| Prognoseverfahren \| Forecasting model

Extent:	1 Online-Ressource (57 p)
Series:	IMF Working Paper ; No. 19/273
Type of publication:	Book / Working Paper
Language:	English
Notes:	Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments December 2019 erstellt
Other identifiers:	10.2139/ssrn.3523146 [DOI]
Classification:	E37 - Forecasting and Simulation ; E44 - Financial Markets and the Macroeconomy ; E66 - General Outlook and Conditions ; F30 - International Finance. General ; D80 - Information and Uncertainty. General ; G21 - Banks; Other Depository Institutions; Mortgages ; E01 - Measurement and Data on National Income and Product Accounts and Wealth ; E32 - Business Fluctuations; Cycles ; M41 - Accounting ; C43 - Index Numbers and Aggregation
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012843513