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One method you can improve the prediction of asset returns with Machine Learning / Deep Learning is by using a custom loss function that echoes the objective of the algorithm !
All errors in prediction do not lead to error in investment... some lead to wrong investment decision, others have no financial consequence.
Translating this asymmetry in the algorithm improves significantly the quality of the algorithm and its efficiency once tested live.
To know more about the WHY and HOW, read the latest research paper https://ssrn.com/abstract=3973086.
Please share your comments and suggestions !
All errors in prediction do not lead to error in investment... some lead to wrong investment decision, others have no financial consequence.
Translating this asymmetry in the algorithm improves significantly the quality of the algorithm and its efficiency once tested live.
To know more about the WHY and HOW, read the latest research paper https://ssrn.com/abstract=3973086.
Please share your comments and suggestions !