The Profit Rate-Interest Rate Nexus: Evidence from Machine Learning Algorithms
The main purpose of this study is to examine potential predictors of profit rates and de- posit rates and to examine whether these rates are affected by identical factors. This paper empiri- cally addresses tree-based machine learning algorithms (e.g., boosting, bagging, random forest). The empirica...
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Main Authors: | Mehmet Yeşilyaprak, Ali Polat, Önder Özgür, Süleyman Şahal |
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Format: | Article |
Language: | English |
Published: |
İLKE İlim Kültür Eğitim Vakfı
2023-02-01
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Series: | Türkiye İslam İktisadı Dergisi |
Subjects: | |
Online Access: | https://tujise.org/content/6-issues/20-10-1/7-the-profit-rate-interest-rate-nexus-evidence-from-machine-learning-algorithms/tujise-a3704.pdf |
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