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

  • Lorenzo Sánchez, Antonio [1] ; Olivas, Jose [2]
    1. [1] Information Technologies and Systems Institute, University of Castilla La Mancha, Ciudad Real, Spain.
    2. [2] SMILe (Soft Management of Internet and Learning). Information Technologies and Systems Institute, University of Castilla La Mancha, Ciudad Real, Spain.
  • Localización: Journal of Computer Science and Technology, ISSN-e 1666-6038, Vol. 20, Nº. 2, 2020 (Ejemplar dedicado a: Fifty-Second Issue; e14)
  • Idioma: inglés
  • DOI: 10.24215/16666038.20.e10
  • Títulos paralelos:
    • Analisis de datos inteligente de la influencia del COVID-19 en los mercados bursátiles utilizando CBR.
  • Enlaces
  • Resumen
    • español

      Comenzando con las diferencias entre el pronóstico y la predicción y profundizando en la predicción, se presenta un modelo basado en el conocimiento. Se analiza la evolución de las bolsas de valores, así como cómo les han afectado las epidemias y pandemias previas a las bolsas de valores y cómo está siendo afectado actualmente por el covid-19. El modelo definido se aplica a un caso de uso utilizando Case-Based Reasoning (CBR): hace una analogía entre la crisis de 2008 con la crisis del covid-19 en 2020 para predecir si los mercados de valores tardarán más o menos en recuperarse.

    • English

      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.

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