In What’s the Significance, we addressed the importance of considering statistical significance when drawing conclusions from noisy data. Noise in the data is problematic when investors overemphasize what might have been a period-specific outcome rather than a robust and repeatable result that is likely to persist going forward. Manager selection is a process that requires analyzing noisy performance data, so it should lean heavily on the notion of statistical significance.
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