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Volume 04 Issue 3

An enhanced artificial neural network for stock price predications

Published: 17 Dec 2016 Issue:Volume 04 Issue 3 Nov 2016 Author details below

Jiaxin Ma

The Hong Kong University of Science and Technology

Silin Huang

The Hong Kong University of Science and Technology

S. H. Kwok

The Hong Kong University of Science and Technology

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Research summary

Predicting stock price of a particular stock is a difficult non-linear problem. Artificial Neural Network (ANN) is a tool to solve this kind of problem and has received much attentions in the field of financial modeling in recent years. This paper proposes an enhanced ANN for predicting stock prices with a novel Max-Min normalization method as well as an iterative approach. Our experimental results confirm that the predication accuracy outperforms other existing ANN predication mechanisms.

Article History

Published 17 Dec 2016

How to Cite

Ma, J., Huang, S., & Kwok, S. H.. (2016). An enhanced artificial neural network for stock price predications. International Journal of Business and Economic Development, Volume 04 Issue 3.

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Archive cited by No internal citing article yet
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APA

Ma, J., Huang, S., & Kwok, S. H.. (2016). An enhanced artificial neural network for stock price predications. International Journal of Business and Economic Development, Volume 04 Issue 3.

MLA

Ma, Jiaxin, et al.. "An enhanced artificial neural network for stock price predications." International Journal of Business and Economic Development, Volume 04 Issue 3, 2016.

Chicago

Jiaxin Ma, Silin Huang, and S. H. Kwok. "An enhanced artificial neural network for stock price predications." International Journal of Business and Economic Development Volume 04 Issue 3 (17 Dec 2016).

Harvard

Ma, J., Huang, S., & Kwok, S. H. (2016) An enhanced artificial neural network for stock price predications. International Journal of Business and Economic Development, Volume 04 Issue 3

References

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  • Graupe, D., 2013. Principles of Artificial Neural Networks. 3rd ed. Singapore: World Scientific Publishing Company.
  • Hang Seng Indexes, (2016). Hang Seng Index and Sub-indexes. [online] Available at:
  •  http://www.hsi.com.hk/HSI-Net/HSI-Net [Accessed 9 May. 2016].
  • Yahoo! Finance, (2016). Historical Prices. [online] Available at:
  • http://finance.yahoo.com/q/hp?s=0003.HK+Historical+Prices [Accessed 2 Apr. 2016].

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