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Author

Mustafa Etcil

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Open access Sep 2026

AN EXPLAINABLE MACHINE LEARNING APPROACH USING FUNDAMENTAL RATIOS FOR STOCK RETURN PREDICTION AND PORTFOLIO REBALANCING

An explainable ensemble learning framework to forecast stocks’ market-relative performance and guide portfolio rebalancing in Borsa Istanbul (BIST), which identifies profitability and valuation indicators, especially return on assets, return on equity, and key valuation ratios, as the main drivers of future stock perfo...

Mustafa Etcil, Burak Kolukısa, Burcu Güngör · 0 citations
Conference Jul 2026

Explainable Machine Learning for Cross-Sectional Stock Return Prediction and Mean–Variance Portfolio Optimization

Portfolio construction aims to balance expected return and risk through effective asset allocation. This study proposes a portfolio formation framework that integrates machine learning-based return prediction with Markowitz mean–variance portfolio optimization. Random Forest, XGBoost, Multilayer Perceptron, and Support...

Mustafa Etcil, Hüseyin Akkaş, Burak Kolukısa et al. · 0 citations

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