Proceedings of the 2017 International Conference on Management Science and Management Innovation (MSMI 2017)

An Empirical Study on the Effectiveness of Technical Analysis in China's Stock Markets

Authors
Kai Chen, Guangping Hui
Corresponding Author
Kai Chen
Available Online June 2017.
DOI
10.2991/msmi-17.2017.31How to use a DOI?
Keywords
technical analysis; market effectiveness; bootstrap nonparametric test
Abstract

The weak form of the EMH proclaims that it is not possible to sustain above normal returns over the long run. However, in recent years, scholars have found that technical analysis trading strategy can obtain significant excess returns in different markets. In this paper, we use the CSI 300 Index, Moving average trading strategy, KDJ strategy and MACD strategy to study the weak effective of China's stock market. Through empirical research, it is concluded that the some technical analysis can obtain significant excess returns in the short term, and the Chinese stock market has not yet reached the weak efficient market.

Copyright
© 2017, 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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Volume Title
Proceedings of the 2017 International Conference on Management Science and Management Innovation (MSMI 2017)
Series
Advances in Economics, Business and Management Research
Publication Date
June 2017
ISBN
978-94-6252-369-2
ISSN
2352-5428
DOI
10.2991/msmi-17.2017.31How to use a DOI?
Copyright
© 2017, 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/).

Cite this article

TY  - CONF
AU  - Kai Chen
AU  - Guangping Hui
PY  - 2017/06
DA  - 2017/06
TI  - An Empirical Study on the Effectiveness of Technical Analysis in China's Stock Markets
BT  - Proceedings of the 2017 International Conference on Management Science and Management Innovation (MSMI 2017)
PB  - Atlantis Press
SP  - 134
EP  - 140
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-17.2017.31
DO  - 10.2991/msmi-17.2017.31
ID  - Chen2017/06
ER  -