Pearson correlation and ordered weighted average operator in the world stock exchange market

• Autorzy: Flores-Sosa Martha , Leon-Castro Ernesto , Merigo Jose M.

Identyfikatory

DOI

10.14313/JAMRIS/1‐2024/5

• Języki publikacji: EN

Abstrakty

EN

The stock market is of great importance for the financial development of a country due to the large volume of transactions therein. Analyzing the correlation between indices in the world helps us figure out which variables are most impactful. This paper proposes the use of ordered weighted average (OWA) operators in combination with the Pearson coefficient to create a measure of correlation that can analyze a wide range of possible scenarios that go from minimum to maximum. The new frameworks can add additional information to the process of correlation. The work presents an application in ten of the largest stock exchanges in the world. The results suggest a broad positive correlation that is reinforced in times of instability.

Słowa kluczowe

EN

stock market; OWA operator; pearson coefficient; financial development

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2024
• Tom: Vol. 18, No. 1
• Strony: 43--55
• Opis fizyczny: Bibliogr. 46 poz., rys.

Twórcy

autor

Flores-Sosa Martha

• Universidad Autónoma de Occidente, Blvd Lola Beltran s/n, 80020, Sinaloa, Mexico

autor

Leon-Castro Ernesto

• Faculty of Economics and Administrative Sciences, Universidad Católica de la Santísima Concepción, Concepción, Chile, Instituto Tecnologico de Sonora, Unidad Navojoa, Ramon Corona sin numero Colonia ITSON, Sonora, Mexico, C.P.85860

autor

Merigo Jose M.

• School of Information, Systems & Modelling, Faculty of Engineering and Information Technology, University of Technology Sydney, 81 Broadway, Ultimo, 2007, NSW, Australia

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