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University of Amsterdam
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Simplifying financial decision-making models can enhance readability without sacrificing predictive power, challenging the notion that more complexity always yields better performance.
CIR-ACTIVA reveals that causal forecasting can outperform traditional methods, allowing for precise multi-horizon predictions in financial markets without retraining.
