Predictive Power of Random Forests in Analyzing Risk Management in Islamic Banking

<p dir="ltr">This study utilizes the random forest technique to investigate risk management practices and concerns in Islamic banks using survey data from 2016 to 2021. Findings reveal that larger banks provide more consistent survey responses, driven by their confidence and larger s...

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Bibliographic Details
Main Author:	Ahmet Faruk Aysan (11902115) (author)
Other Authors:	Bekir Sait Ciftler (17541801) (author), Ibrahim Musa Unal (19418800) (author)
Published:	2024
Subjects:	Commerce, management, tourism and services Banking, finance and investment Business systems in context Strategy, management and organisational behaviour Information and computing sciences Cybersecurity and privacy Philosophy and religious studies Religious studies Risk management Islamic banks Survey analysis Random forest Machine learning
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Predictive Power of Random Forests in Analyzing Risk Management in Islamic Banking

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