Article by: Michael Stastny
Published by: Michael Stastny Weblog
Date: 23 Dec 2006
“Recently, Teresa asked for my opinion regarding range-based volatility estimators because, for years, traders have incorporated Wells Wilders’ Average True Range into many facets of their analysis and systems.
“While I know nothing whatsoever about ATR, I had to figure out something to keep her happy…: The most simple range-based volatility estimator is based on the difference between the maximum and minimum prices observed during a certain period. Parkinson [1980] showed that the daily high-low range, properly scaled, is also an unbiased estimator of daily volatility — but five times more efficient than the squared daily close-to-close return when the underlying process is a random walk.
“Many other estimators that include high, low, open, and close values have been developed Garman and Klass[1980], Rogers and Satchell [1991], Alizahdeh, Brandt and Diebold [2001] and Yang and Zhang [2002]). I think one has to play around with all these estimators to see how they perform in the wilderness. What I liked about Parkinson’s paper was that it was a clear and easy-to-follow exposition, so I reprinted (slightly edited) the most interesting part for those of you who have never heard of range-based volatility estimators before and do not have acess to JSTOR:”
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