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

Bibliographic Data

ID22079323
AuthorsRendao Ye (0000-0002-6768-2590, Hangzhou Dianzi University, corresponding author), Na An (0000-0003-3099-2736), Yichen Xie (0000-0002-0974-5979, Hangzhou Dianzi University), Kun Luo (0000-0002-5754-0222, Hangzhou Normal University), Ya Lin (0000-0002-9916-5635, Hangzhou Dianzi University)
Year2021
Volume9
Pages663189-663189
Publication date2021-05-10
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2021.663189
PMID34041217
OpenAlexW3161863358
LanguageEN
Citations received1
References cited16

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

Actuarial science · Business · China · Econometrics · Economics · Geography · Pandemic · Agricultural risk and resilience · COVID-19 Pandemic Impacts · Insurance and Financial Risk Management · Medicine

Tools

Open DOIOpen Access