ML Can Improve Stock Return Prediction

Stock price forecasting faces challenges due to market complexity, with traditional methods limited in global investments.

Machine Learning methods offer promise by aggregating data to improve stock return predictions, surpassing traditional regression.

Extensive financial data, including over 400 anomalies like Price-Earnings Ratio, is crucial for accurate predictions.

Researchers found ML models significantly outperformed traditional methods in predicting stock returns.

ML technology's potential for financial markets highlights the need for careful data preparation and ethical considerations.

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