Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)

Empirical Study on the Impact of Policy Events on Stock Market before and after Stock Market Disaster

Authors
Hui Zhang, Chao Sun, Wenyu Meng
Corresponding Author
Hui Zhang
Available Online August 2019.
DOI
10.2991/msbda-19.2019.55How to use a DOI?
Keywords
Volatility point identification, Event methodology, Policy event return volatility
Abstract

This paper studied the relationship between policies and stock market volatility. This paper used the volatility point discrimination method to identify the variance increase points of stock market volatility from 2014 to 2018. It finds out the policy events causing stock market fluctuations through the event research method. After regression analysis of index return and policy event return, index return volatility and policy return volatility, it is found that the impact of policy events before the shock of stock market is greater than that after the shock of stock market.

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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Volume Title
Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)
Series
Advances in Computer Science Research
Publication Date
August 2019
ISBN
10.2991/msbda-19.2019.55
ISSN
2352-538X
DOI
10.2991/msbda-19.2019.55How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Hui Zhang
AU  - Chao Sun
AU  - Wenyu Meng
PY  - 2019/08
DA  - 2019/08
TI  - Empirical Study on the Impact of Policy Events on Stock Market before and after Stock Market Disaster
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)
PB  - Atlantis Press
SP  - 355
EP  - 358
SN  - 2352-538X
UR  - https://doi.org/10.2991/msbda-19.2019.55
DO  - 10.2991/msbda-19.2019.55
ID  - Zhang2019/08
ER  -