Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/6526
Title: Risk Prediction and assessment: Duration, infections, and death toll of the COVID-19 and its impact on China's economy
Authors: Yue, Xiao-Guang 
Shao, Xue-Feng 
Prof. LI Yi Man, Rita 
Crabbe, M. James C. 
Mi, Lili 
Hu, Siyan 
Baker, Julien S. 
Liu, Liting 
Dong, Kechen 
Issue Date: 2020
Source: Journal of Risk and Financial Management, 2020, vol. 13(4), pp. 66.
Journal: Journal of Risk and Financial Management 
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.
Type: Peer Reviewed Journal Article
URI: http://hdl.handle.net/20.500.11861/6526
ISSN: 1911-8074
DOI: 10.3390/jrfm13040066
Appears in Collections:Economics and Finance - Publication

Show full item record

SCOPUSTM   
Citations

31
checked on Oct 20, 2024

Page view(s)

92
Last Week
2
Last month
checked on Oct 30, 2024

Google ScholarTM

Impact Indices

Altmetric

PlumX

Metrics


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.