Since the outbreak of COVID-19 on December 2019, various industries have been affected to some extent. Due to the government's quarantine policy, much of the non-essential work has shifted from face-to-face to online, and more and more people are trapped at home. In the uncertain environment of the spread of COVID-19, the live streaming industry with many random factors is a suitable research object. This paper selects two well-known live streaming platforms in China, Douyu, and Huya. The stock data since January 20 and the new number of confirmed COVID-19 in China and overseas were captured. The ARMA-GARCH model is used to model and analyze the data to study how the yield and volatility of this kind of industry change in the long-term uncertain environment. By experimental comparison, in the long run, the spread of this epidemic in China still has a significant positive impact on this live streaming industry. While there is little impact by overseas outbreaks.