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2. Forecasting gold price with the XGBoost algorithm and SHAP interaction values.
3. Forecasting carbon futures price: a hybrid method incorporating fuzzy entropy and extreme learning machine.
4. Value creation and sustainable business model: are ESG ratings a matter of class?
5. The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm.
6. Early warning system to predict energy prices: the role of artificial intelligence and machine learning
7. Forecast combinations for benchmarks of long-term stock returns using machine learning methods
8. Incorporating causality in energy consumption forecasting using deep neural networks
9. The role of political risk, uncertainty, and crude oil in predicting stock markets: evidence from the UAE economy
10. Forecasting high-frequency stock returns: a comparison of alternative methods
11. A data-driven forecasting approach for newly launched seasonal products by leveraging machine-learning approaches
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