Exploring the attention mechanism in LSTM-based Hong Kong stock price movement prediction
Shun Chen and Lei Ge
| Year of publication: |
2019
|
|---|---|
| Authors: | Chen, Shun ; Ge, Lei |
| Published in: |
Quantitative finance. - London : Taylor & Francis, ISSN 1469-7696, ZDB-ID 2027557-2. - Vol. 19.2019, 9, p. 1507-1515
|
| Subject: | Attention | LSTM | Prediction | Stock price | Hongkong | Hong Kong | Börsenkurs | Share price | Prognoseverfahren | Forecasting model | Prognose | Forecast | Kapitaleinkommen | Capital income |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/14697688.2019.1622287 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012194802