Is more data, and less math, a good thing in modern models?

Math, data and the modeler’s dilemma

We are entering a new era of computational modeling, and the financial services industry must be prepared. The relatively new field of data science is transforming the way that financial models are developed, and ushering in a new era: one in which models’ predictions are becoming more accurate. But this greater accuracy comes at a cost: the trust, ‘explainability’ and transparency of new models.

More traditional quantitative methods in finance have long

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