A Short-term Prediction about the Stock Price of China’s Pharmaceutical Manufacturing Industry based on Back Propagation Neural Network

DOI

10.2991/ssmi-18.2019.33How to use a DOI?

Keywords

Time series, pharmaceutical manufacturing industry stock price, daily data, short-term prediction.

Abstract

This paper applies Back Propagation neural network to make a short-term prediction about the average stock price of pharmaceutical manufacturing industry in the next 30 days after October 23rd, 2018. The results show that the price will generally increase; the frequency of price fluctuation will be relatively high; price volatility will be relatively low.

Copyright

© 2019, 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  - Xiang Li
PY  - 2019/02
DA  - 2019/02
TI  - A Short-term Prediction about the Stock Price of China’s Pharmaceutical Manufacturing Industry based on Back Propagation Neural Network
BT  - Proceedings of the 2018 International Symposium on Social Science and Management Innovation (SSMI 2018)
PB  - Atlantis Press
SP  - 183
EP  - 191
SN  - 2352-5428
UR  - https://doi.org/10.2991/ssmi-18.2019.33
DO  - 10.2991/ssmi-18.2019.33
ID  - Li2019/02
ER  -