Renewable energy stocks forecast using Twitter investor sentiment and deep learning
Gabriel Paes Herrera, Michel Constantino, Jen-Je Su, Athula Naranpanawa
| Year of publication: |
2022
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|---|---|
| Authors: | Herrera, Gabriel Paes ; Constantino, Michel ; Su, Jen-je ; Naranpanawa, Athula |
| Published in: |
Energy economics. - Amsterdam : Elsevier, ISSN 0140-9883, ZDB-ID 795279-X. - Vol. 114.2022, p. 1-11
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| Subject: | Clean energy | LSTM | Stock return | Stock volatility | Twitter | Erneuerbare Energie | Renewable energy | Social Web | Social web | Volatilität | Volatility | Börsenkurs | Share price | Kapitaleinkommen | Capital income | Anlageverhalten | Behavioural finance | Prognoseverfahren | Forecasting model |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.eneco.2022.106285 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013477442