An Empirical Study on the Equity Performance of China's Health Insurance Companies During the COVID-19 Pandemic—Based on Cases of Dominant Listed Companies

Frontiers in Public Health

article

Rendao Ye¹  Na An¹  Yichen Xie¹  Kun Luo²  Ya Lin¹ 

[1] School of Economics, Hangzhou Dianzi University;Alibaba Business College, Hangzhou Normal University

关键词: COVID-19 pandemic;    uncertain impact;    stock price of the health insurance company;    ARIMA model;    BP neural network model;    LSTM neural network model;   

DOI  :  10.3389/fpubh.2021.663189

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

The health insurance industry in China is undergoing great shocks and profound impacts induced by the worldwide COVID-19 pandemic. Taking for instance the three dominant listed companies, namely, China Life Insurance, Ping An Insurance, and Pacific Insurance, this paper investigates the equity performances of China's health insurance companies during the pandemic. We firstly construct a stock price forecasting methodology using the autoregressive integrated moving average, back propagation neural network, and long short-term memory (LSTM) neural network models. We then empirically study the stock price performances of the three listed companies and find out that the LSTM model does better than the other two based on the criteria of mean absolute error and mean square error. Finally, the above-mentioned models are used to predict the stock price performances of the three companies.

【 授权许可】

CC BY