Proceedings of the 2017 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017)

Study and Prevention of Systematic Risk of Insurance Industry of China

Authors
Yue Gu
Corresponding Author
Yue Gu
Available Online July 2017.
DOI
https://doi.org/10.2991/essaeme-17.2017.221How to use a DOI?
Keywords
Insurance industry, Systematic risk, CoVaR, Quantile regression
Abstract
The insurance industry is a risk management industry which cannot be ignored in the financial system. It promotes the stable development of the market economy with its special social and economic compensation mechanism. Therefore, to explore the systemic risk of insurance industry can prevent the spread of financial risks and ensure the healthy development of China's market economy. The quantile regression of CoVaR has good pertinence to the measurement of systematic risk of insurance industry. Adopting the method of CoVaR, this paper took the China Life Property & Casualty Insurance Company Limited as the representative enterprise to measure and analyze spillover effect of the systematic risk of Chinese insurance company. The countermeasures from the realistic perspective were put forward to decrease the possibility of risk's breakout.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Yue Gu
PY  - 2017/07
DA  - 2017/07
TI  - Study and Prevention of Systematic Risk of Insurance Industry of China
BT  - Proceedings of the 2017 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/essaeme-17.2017.221
DO  - https://doi.org/10.2991/essaeme-17.2017.221
ID  - Gu2017/07
ER  -