Can Internet concern about COVID-19 help predict stock markets : new evidence from high-concern and low-concern periods
Jiqin Ren, Yuanxuan Guo, Jingjing Li and Jingjing Li
| Year of publication: |
2024
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|---|---|
| Authors: | Ren, Jiqin ; Guo, Yuanxuan ; Li, Jingjing ; Li, Jingjing |
| Published in: |
Applied economics. - New York, NY : Routledge, ISSN 1466-4283, ZDB-ID 1473581-7. - Vol. 56.2024, 35, p. 4155-4176
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| Subject: | COVID-19 | GARCH type models | high-concern and low-concern periods | internet concern | stock markets | Internet | Coronavirus | Börsenkurs | Share price | Aktienmarkt | Stock market | Prognoseverfahren | Forecasting model | ARCH-Modell | ARCH model | Deutschland | Germany |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/00036846.2023.2210820 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014559277