Determination of the world stock indices’ co-movements by association rule mining

Descripción del Articulo

Purpose: This study aims to provide preliminary information to the investor by determining which indices co-movement, with the data mining method. Design/methodology/approach: In this context, data sets containing daily opening and closing prices between 2001 and 2019 have been created for 11 stock...

Descripción completa

Detalles Bibliográficos
Autores: Kartal, Burcu, Fatih Sert, Mehmet, Kutlu, Melih
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad ESAN
Repositorio:ESAN-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.esan.edu.pe:20.500.12640/3281
Enlace del recurso:https://revistas.esan.edu.pe/index.php/jefas/article/view/632
https://hdl.handle.net/20.500.12640/3281
https://doi.org/10.1108/JEFAS-04-2020-0150
Nivel de acceso:acceso abierto
Materia:Data mining
Association rules
Stock market index
Global financial markets
Minería de datos
Reglas de asociación
Índice bursátil
Mercados financieros globales
https://purl.org/pe-repo/ocde/ford#5.02.04
Descripción
Sumario:Purpose: This study aims to provide preliminary information to the investor by determining which indices co-movement, with the data mining method. Design/methodology/approach: In this context, data sets containing daily opening and closing prices between 2001 and 2019 have been created for 11 stock market indexes in the world. The association rule algorithm, one of the data mining techniques, is used in the analysis of the data. Findings: It is observed that the US stock market indices take part in the highest confidence levels between association rules. The XU100 stock index co-movement with both the European stock market indices and the US stock indices. In addition, the Hang Seng Index (HSI) (Hong Kong) takes part in the association rules of all stock market indices. Originality/value: The important issue for data sets is that the opening/closing values of the same day or the previous day are taken into account according to the open or closed status of other stock market indices by taking the opening time of the stock exchange index to be created. Therefore, data sets are arranged for each stock market index, separately. As a result of this data set arranging process, it is possible to find out co-movements of the stock market indexes. It is proof that the world stock indices have co-movement, and this continues as a cycle.
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).