{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T03:05:12Z","timestamp":1770174312587,"version":"3.49.0"},"reference-count":18,"publisher":"SAGE Publications","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2020,12,4]]},"abstract":"<jats:p>The global economy appears the trend of anti-globalization under the influence of COVID-19. Based on the input-output table of lead database from 2006 to 2020, this paper divides the factors that affect the development of financial industry in China, the United States and Russia into six aspects: price, intermediate input, household consumption, government consumption, export and import. ADGA-BP neural network model is proposed in this paper, which is based on six aspects of price, intermediate input, consumer, government consumption, export and import. The intermediate input is decomposed from the perspective of industrial structure to study the interrelationship between financial industry and other industries in the three countries. The results show that the intermediate input is the main factor in the development of financial industry in the three countries, but the source industries of the intermediate input are not the same; the two factors of household consumption and price are closely related to the development of financial industry in the three countries, and they all play a role in promoting China, while the relationship between household consumption and the United States and between price and Russia is reverse; Government consumption only has a significant impact on Russia; from the perspective of mutual influence, the mutual investment between the financial industry of China and the United States is relatively large, while the relationship between the Russian financial industry and the two countries is relatively weak. It shows that under the background of covid-19, the development of financial industry is affected.<\/jats:p>","DOI":"10.3233\/jifs-189280","type":"journal-article","created":{"date-parts":[[2020,9,15]],"date-time":"2020-09-15T09:16:56Z","timestamp":1600161416000},"page":"8831-8838","source":"Crossref","is-referenced-by-count":0,"title":["Prediction and comparison of the impact of COVID-19 epidemic on the financial industry of major countries based on neural intelligent algorithm"],"prefix":"10.1177","volume":"39","author":[{"given":"Bin","family":"Wang","sequence":"first","affiliation":[{"name":"School of Economics and Management, Wuhan University, Wuhan, Hubei, China"}]},{"given":"Qingyuan","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Wuhan University, Wuhan, Hubei, China"}]}],"member":"179","reference":[{"issue":"5-6","key":"10.3233\/JIFS-189280_ref1","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1142\/S0129065797000501","article-title":"Adaptive Rival Penalized Competitive Learning And Combined Linear Predictor Model For Financial Forecast And Investment","volume":"8","author":"Cheung","year":"1997","journal-title":"International Journal of Neural Systems"},{"issue":"2","key":"10.3233\/JIFS-189280_ref2","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1097\/MEG.0000000000000771","article-title":"A 13-year time trend analysis of small bowel video capsule endoscopies and a forecast model during the financial crisis in Greece","volume":"29","author":"Triantafyllou","year":"2017","journal-title":"European Journal of Gastroenterology & Hepatology"},{"issue":"3-4","key":"10.3233\/JIFS-189280_ref3","first-page":"95","article-title":"Decision tree combined with neural networks for financial forecast","volume":"55","author":"Bozsik","year":"2013","journal-title":"Electrical Engineering"},{"issue":"4","key":"10.3233\/JIFS-189280_ref4","doi-asserted-by":"crossref","first-page":"1197","DOI":"10.1016\/j.asoc.2006.01.007","article-title":"Automatic extraction and identification of chart patterns towards financial forecast","volume":"7","author":"Liu","year":"2007","journal-title":"Applied Soft Computing"},{"issue":"18","key":"10.3233\/JIFS-189280_ref5","first-page":"442","article-title":"Financial Forecast Reporting: A comparative Study of Current Status in U.K, U.S and CA","volume":"18","author":"Koga","year":"2010","journal-title":"Medical Law Review"},{"issue":"2","key":"10.3233\/JIFS-189280_ref6","first-page":"190","article-title":"Applications of hybrid neural networks and genetic programming in financial forecasting","volume":"244","author":"Stasinakis","year":"2013","journal-title":"Journal of Theoretical Biology"},{"issue":"4","key":"10.3233\/JIFS-189280_ref7","doi-asserted-by":"crossref","first-page":"911","DOI":"10.1007\/s11135-010-9403-z","article-title":"Forecasting financial crises for an enterprise by using the Grey Markov forecasting model","volume":"45","author":"Chen","year":"2011","journal-title":"Quality & Quantity"},{"key":"10.3233\/JIFS-189280_ref8","doi-asserted-by":"crossref","unstructured":"Wang H. , Lu S. and Zhao J. , Aggregating multiple types of complex data in stock market prediction: A model-independent framework, 164(JAN.15) (2019), 193\u2013204.","DOI":"10.1016\/j.knosys.2018.10.035"},{"issue":"2","key":"10.3233\/JIFS-189280_ref9","first-page":"217","article-title":"Application of the Fiancial Crisis Forecast System Based on the Multifactor Model","volume":"3","author":"Zhu","year":"2009","journal-title":"Parasitology"},{"issue":"1","key":"10.3233\/JIFS-189280_ref10","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.eswa.2006.04.007","article-title":"A fusion model of HMM, ANN and GA for stock market forecasting","volume":"33","author":"Hassan","year":"2007","journal-title":"Expert Systems with Applications"},{"issue":"1","key":"10.3233\/JIFS-189280_ref11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1471-2458-13-400","article-title":"Forecast analysis of the incidence of tuberculosis in the province of Quebec","volume":"13","author":"Klotz","year":"2013","journal-title":"BMC Public Health"},{"issue":"2","key":"10.3233\/JIFS-189280_ref12","first-page":"1","article-title":"A 13-year time trend analysis of small bowel video capsule endoscopies and a forecast model during the financial crisis in Greece","volume":"29","author":"Triantafyllou","year":"2016","journal-title":"European Journal of Gastroenterology & Hepatology"},{"issue":"15","key":"10.3233\/JIFS-189280_ref13","doi-asserted-by":"crossref","first-page":"11898","DOI":"10.1016\/j.eswa.2012.02.091","article-title":"Save the best for last? 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