Predictability of machine learning techniques to forecast the trends of market index prices: Hypothesis testing for the Korean stock markets-Reference-Cited by-同舟云学术

Predictability of machine learning techniques to forecast the trends of market index prices: Hypothesis testing for the Korean stock markets

Published:2017-11-14 Issue:11 Volume:12 Page:e0188107
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Pyo Sujin,Lee Jaewook,Cha Mincheol,Jang Huisu^ORCID

Funder

National Research Foundation of Korea

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference19 articles.

1. A comparison of artificial neural network and time series models for forecasting commodity prices;N Kohzadi;Neurocomputing,1996

2. Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange;Y Kara;Expert Syst Appl,2011

3. Yoon Y, Swales G. Predicting stock price performance: A neural network approach. In: System Sciences, 1991. Proc Annu Hawaii Int Conf Syst Sci. vol. 4. IEEE; 1991. p. 156–162.

4. Using artificial neural network models in stock market index prediction;E Guresen;Expert Syst Appl,2011

5. Application of artificial neural network models and principal component analysis method in predicting stock prices on Tehran Stock Exchange;J Zahedi;Phys A,2015

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