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Intelligent data analysis of the influence of COVID-19 on the stock market using Case Based Reasoning

Authors :
Antonio Lorenzo Sánchez
Jose Olivas
Source :
Journal of Computer Science and Technology, Vol 20, Iss 2, Pp e10-e10 (2020)
Publication Year :
2020
Publisher :
Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata, 2020.

Abstract

Starting with the differences between forecasting and prediction and going deeper into prediction, a knowledge-based model is presented. The evolution of the stocks markets are analyzed, as well as how the epidemics and pandemics prior to the stock markets have affected them and how it is currently being affected by covid-19. The defined model is applied to a use case using Case-Based Reasoning (CBR): it makes an analogy between the 2008 crisis with the covid-19 crisis in 2020 to predict whether the stock markets will take more or less time to recover.

Details

Language :
English
ISSN :
16666046 and 16666038
Volume :
20
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Journal of Computer Science and Technology
Publication Type :
Academic Journal
Accession number :
edsdoj.4f5e56d654826b1ea97f29aec64df
Document Type :
article
Full Text :
https://doi.org/10.24215/16666038.20.e10