The applications of artificial neural networks, support vector machines, and long-short term memory for stock market prediction
Year of publication: |
2022
|
---|---|
Authors: | Chhajer, Parshv ; Shah, Manan ; Kshirsagar, Ameya |
Subject: | Artificial Neural Network | Support Vector Machines | Long short-term memory | Stock Forecasting | Predictive analytics | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Mustererkennung | Pattern recognition | Prognose | Forecast | Aktienmarkt | Stock market | Aktienindex | Stock index | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory | Börsenkurs | Share price |
-
Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN and ARIMA-random forest hybrid models
Kumar, Manish, (2014)
-
Mahmoodi, Armin, (2023)
-
Lin, Chin Yang, (2024)
- More ...
-
Banking book collateral transformation
Shah, Manan, (2019)
-
Shared services : a case for capital market utilities
Shah, Manan, (2019)
-
Asset managers and the quest for collateral and liquidity
Shah, Manan, (2021)
- More ...