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ReSolve Riffs with ReSolve’s own Dr Andrew Butler on Integrating Prediction with Optimization

Resolve Riffs Investment Podcast

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Integral Models Can Induce Optimal Decision Making

If we were to fit a model, let's suppose that we were going to fit a linear model to this data set, then what ends up happening is that we've got predictions that are optimal with respect to mean squared error. But despite the fact that these are the quote unquote best predictions from a prediction accuracy standpoint, they ultimately lead to sub-optimal decision making. In an integrated context, you actually flip the sign on the slope of the predictive function for the blue asset,. So it's a good illustration of how the interpretability of this kind of prediction decision method can be counterintuitive and impair explanatory value.

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