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Measuring the impact of enterprise risk management on performance, value, and risk indicators of Borsa Istanbul XBANK companies with data mining prediction models

Business

Measuring the impact of enterprise risk management on performance, value, and risk indicators of Borsa Istanbul XBANK companies with data mining prediction models

M. Ç. Akbaş

This research by Müzeyyen Çiğdem Akbaş delves into how Enterprise Risk Management (ERM) adoption influences firm performance and risk in Borsa Istanbul's banking sector. The study reveals a positive link between ERM practices and key performance indicators, enhancing predictions for financial stability. Discover the insights from this compelling analysis conducted from 2019 to 2022.

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Playback language: English
Abstract
This article investigates the relationship between Enterprise Risk Management (ERM) adoption and firm performance, value, and risk indicators of Borsa Istanbul XBANK companies. Using panel data regression models (pooled, fixed effects, random effects) and partial least squares regression (PLSR), the study analyzes data from ten banking companies from 2019 to 2022. The findings suggest a positive correlation between ERM implementation level and firm performance (ROA), and between ERM organizational structure sophistication and firm value (Q) and insolvency risk (Sz_score). PLSR models showed improved prediction accuracy for some indicators compared to panel data models.
Publisher
Humanities and Social Sciences Communications
Published On
Oct 08, 2024
Authors
Müzeyyen Çiğdem Akbaş
Tags
Enterprise Risk Management
firm performance
Borsa Istanbul
banking companies
panel data regression
insolvency risk
predictive accuracy

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