Abstract
Aim to reveal the changes in the financial market of the energy industry in China under the influence of the COVID-19 epidemic by use the fluctuation of the stock price of the energy industry. In this paper, ARIMA, a time series autoregressive moving average model, is used to model the fluctuation of stock prices in the energy industry, it shows the impacst on the financial market of energy industry before and after the outbreak of epidemic, in order to understand the energy crisis under the COVID-19 epidemic more clearly through this study. This research found that based on the COVID-19 pandemic, the stock price of the energy industry fluctuated. The epidemic caused investors' lack of confidence in the market, which caused the stock price to fall. Later, due to the government's policy to save the market, the stock price rebounded. Different from other research based on global nature, this paper focuses on energy enterprises in China. This study is meaningful. For investors, by understanding the changes in the financial market, they can regain confidence in the market. For leaders, this study can let them know the serious impact of epidemic on the market, respond to the rescue more quickly, and introduce the rescue policy.
Publisher
Darcy & Roy Press Co. Ltd.