Markov Chain Combination Prediction Model and Its Application in Stock Market

DOI

10.2991/icemaess-18.2018.43How to use a DOI?

Keywords

Markov Chain Prediction Method, The Median Method, Level Characteristic Value Method, Combination Model, The Stock Market

Abstract

Markov process is a very important means to describe dynamic stochastic phenomena.First, Markov chain median value prediction method and Markov chain level Characteristic value method are introduced. Based on these predictions, the thought and steps of the combined prediction model are given. Secondly, in the part of empirical research, this paper uses Markov chain combined prediction model to predict the stock price of China railway in China's stock market and obtain the predicted value of the combination. Compared the predicted value with the predicted value obtained by other single methods, the combined predicted value is more accurate., thus it is concluded that combined forecasting method is superior to other Markov prediction method, and enrich the theory of Markov chain prediction system, it also manifests the combination of prediction and Markov chain prediction method has a strong suitability.

Copyright

© 2018, 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  - Qingxin Zhou
PY  - 2018/11
DA  - 2018/11
TI  - Markov Chain Combination Prediction Model and Its Application in Stock Market
BT  - Proceedings of the 2018 5th International Conference on Education, Management, Arts, Economics and Social Science (ICEMAESS 2018)
PB  - Atlantis Press
SP  - 206
EP  - 209
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemaess-18.2018.43
DO  - 10.2991/icemaess-18.2018.43
ID  - Zhou2018/11
ER  -