Classification performance comparison of artificial neural networks and support vector machines methods : an empirical study on predicting stock market index movement direction
Year of publication: |
2020
|
---|---|
Authors: | Emir, Şenol |
Published in: |
Strategic priorities in competitive environments : multidimensional approaches for business success. - Cham, Switzerland : Springer, ISBN 978-3-030-45022-9. - 2020, p. 177-218
|
Subject: | Börse | Bourse | Aktienindex | Stock index | Prognose | Forecast | Neuronale Netze | Neural networks | Mustererkennung | Pattern recognition |
-
Application of machine learning in quantitative investment strategies on global stock markets
Grudniewicz, Jan, (2021)
-
Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN and ARIMA-random forest hybrid models
Kumar, Manish, (2014)
-
Bildirici, Melike, (2013)
- More ...
-
Dinçer, Hasan, (2019)
-
Predicting the Istanbul Stock Exchange Index return using technical indicators : a comparative study
Emir, Şenol, (2013)
-
Emir, Şenol, (2012)
- More ...