Abstract
This study first analyzes the national and global infection status of the Coronavirus
Disease that emerged in 2019 (COVID-19). It then uses the trend comparison method to predict the
inflection point and Key Point of the COVID-19 virus by comparison with the severe acute
respiratory syndrome (SARS) graphs, followed by using the Autoregressive Integrated Moving
Average model, Autoregressive Moving Average model, Seasonal Autoregressive Integrated
Moving-Average with Exogenous Regressors, and Holt Winter’s Exponential Smoothing to predict
infections, deaths, and GDP in China. Finally, it discusses and assesses the impact of these results.
This study argues that even if the risks and impacts of the epidemic are significant, China’s economy
will continue to maintain steady development.
| Original language | English |
|---|---|
| Pages (from-to) | 66-93 |
| Journal | Journal of Risk and Financial Management |
| Volume | 13 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 3 Apr 2020 |
Keywords
- Health sciences
- Natural science and engineering
- Research subjects
- virus
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