Predicting equity price with corporate action events using LSTM-RNN
Shotaro Minami
| Year of publication: |
February 2018
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|---|---|
| Authors: | Minami, Shotaro |
| Published in: |
Journal of mathematical finance. - [S.l.] : Scientific Research, ISSN 2162-2434, ZDB-ID 2657377-5. - Vol. 8.2018, 1, p. 58-63
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| Subject: | LSTM | Long-Short Term Memory(LSTM-RNN) | Recurrent Neural Network (RNN) | Prediction of Single Stock Price | Artificial Intelligence Finance | Börsenkurs | Share price | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Zeitreihenanalyse | Time series analysis | Theorie | Theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.4236/jmf.2018.81005 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011846111