The share price trend prediction of China's coal listed companies ?Based on PCA & BP neural network

DOI

10.2991/msie-16.2016.107How to use a DOI?

Keywords

coal; listed company; stock price; principal component analysis; BP neural network.

Abstract

This paper starts from the financial indexes of the coal listed companies and use financial indexes which represent cash flow capacity, solvency, operational capability, profitability and development ability to predict share price by BP neural network. Firstly, the input variables are optimized by principal component analysis, and then the trained network is saved. Finally, the stock price of coal is forecasted, and the results are analyzed.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lanjin Yang
PY  - 2016/10
DA  - 2016/10
TI  - The share price trend prediction of China's coal listed companies ?Based on PCA & BP neural network
BT  - Proceedings of the 2016 International Conference on Management Science and Innovative Education
PB  - Atlantis Press
SP  - 483
EP  - 487
SN  - 2352-5398
UR  - https://doi.org/10.2991/msie-16.2016.107
DO  - 10.2991/msie-16.2016.107
ID  - Yang2016/10
ER  -