GMDH-Type Neural Networks for Predicting Financial Time Series: A Study of Informational Efficiency of Stock Markets
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Publisher
Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-030-92604-5_13
Reference30 articles.
1. Ahmed, N.K., Atiya, A.F., Gayar, N.E., El-Shishiny, H.: An empirical comparison of machine learning models for time series forecasting. Economet. Rev. 29(5–6), 594–621 (2010)
2. Advances in Intelligent Systems and Computing;M Akter,2019
3. Ardalan, K.: Neurofinance versus the efficient markets hypothesis. Glob. Financ. J. 35, 170–176 (2018)
4. Chen, S.H., Yeh, C.H.: Toward a computable approach to the efficient market hypothesis: an application of genetic programming. J. Econ. Dyn. Control 21(6), 1043–1063 (1997)
5. Fama, E.: The behavior of stock-market prices. J. Bus. 38(1), 34–105 (1965). http://www.jstor.org/stable/2350752
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