Data science applied to risk management practices in Chilean companies reporting to the Financial Markets Commission; [Ciência de dados aplicada a práticas de gerenciamento de riscos em empresas chilenas que prestam contas à Comissão de Mercados Financeiros]; [Ciencia de Datos Aplicada a Prácticas de Gestión de Riesgo en Sociedades Chilenas que Reportan a la Comisión de Mercados Financieros]

Paper Details

Authors: Sepúlveda-Araya J.J.; Orostiga-Lazo V.A.; Herrera A.; Martinez C.A.; Barrientos R.J.

DOI: 10.58416/GCG.2026.V20.N1.01

Journal: Journal Globalization, Competitiveness and Governability

Year: 2026

Publisher: Georgetown University

Document Type: Article

Open Access: All Open Access; Gold Open Access

Cited by: 0

Abstract

This study analyzes the level of compliance with corporate governance practices related to risk management and financial performance, using Machine Learning techniques in Chilean companies. The methodology used covers the phases of the knowledge discovery process in a database. As a result, models based on Unsupervised and Supervised Learning were obtained, which allowed characterizing and then predicting with a high level of accuracy, the degree of compliance with practices. Also, a grouping of companies with different characteristics in terms of the level of compliance and financial performance is determined. © (2026), (Georgetown University). All rights reserved.

Keywords

Ciencia de Datos; Ciência de Dados; Companies; Data Science; Empresas; Empresas; Gerenciamento de Riscos; Gestión de Riesgos; Machine Learning; Machine Learning; Machine Learning; Risk Management

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