Hodges-Tompkins volatility is an adjusted volatility estimator that aims to correct the bias inherent in the standard volatility estimators, particularly when dealing with small sample sizes.
This article presents this volatility measure in detail and shows how to code a rolling calculation on time series using Python.
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