The role of investor attention in predicting stock prices : the long short-term memory networks perspective
Year of publication: |
2021
|
---|---|
Authors: | Zhang, Yongjie ; Chu, Gang ; Shen, Dehua |
Published in: |
Finance research letters. - Amsterdam [u.a.] : Elsevier, ISSN 1544-6123, ZDB-ID 2181386-3. - Vol. 38.2021, p. 1-11
|
Subject: | Machine learning | Investor attention | Baidu Index | Long short-term memory networks | Börsenkurs | Share price | Anlageverhalten | Behavioural finance | Künstliche Intelligenz | Artificial intelligence |
-
Open source information, investor attention, and asset pricing
Zhang, Wei, (2013)
-
Zhang, Yongjie, (2022)
-
Investor attention and the COVID-19 concept stocks in China's stock market
Liu, Zhe, (2024)
- More ...
-
Stock crashes and jumps reactions to information demand and supply : an intraday analysis
Chu, Gang, (2021)
-
The Dynamics of Cryptocurrency Liquidity Pools
Chu, Gang, (2022)
-
The Dynamics of Cryptocurrency Liquidity Pools
Chu, Gang, (2022)
- More ...