Quantum-Enhanced Forecasting: Leveraging Quantum Gramian Angular Field and CNNs for Stock Return Predictions
“Experimental results revealed that compared to the classical GAF method, the QGAF approach significantly improved time series prediction accuracy, reducing prediction errors by an average of 25% for Mean Absolute Error (MAE) and 48% for Mean Squared Error (MSE).”
AssetEquities
StrategyMachine learning
TechniqueFeedforward networkconvolutional network
GeographyUSChina
Missing from abstract: benchmark, out-of-sample test, costs, multiple testing, universe
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