Reliability study of stock index forecasting in volatile and trending cities using public sentiment : based on word2Vec and LSTM models
Yuanyuan Ma, Chenglong Liu, Jie Tian Zhang and Yanze Liu
| Year of publication: |
2023
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|---|---|
| Authors: | Ma, Yuanyuan ; Liu, Chenglong ; Zhang, Jie Tian ; Liu, Yanze |
| Published in: |
Applied economics. - New York, NY : Routledge, ISSN 1466-4283, ZDB-ID 1473581-7. - Vol. 55.2023, 43, p. 5013-5032
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| Subject: | Convolutional neural networks | Long short-term memory | Public emotion | Stock index forecast | The Shanghai composite index | Aktienindex | Stock index | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Volatilität | Volatility | Zeitreihenanalyse | Time series analysis | Börsenkurs | Share price | Shanghai | Emotion | Prognose | Forecast |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/00036846.2022.2133897 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014334940