The trinity of errors in applying confidence intervals: An exploration using Statsmodels
O'Reilly on Data
DECEMBER 9, 2019
Recall from my previous blog post that all financial models are at the mercy of the Trinity of Errors , namely: errors in model specifications, errors in model parameter estimates, and errors resulting from the failure of a model to adapt to structural changes in its environment. For example, if a stock has a beta of 1.4
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