On the Robustness of Range-Based Volatility Estimators,”

Ozzy Akay, Drew Winters, Mark D Griffiths

Research output: Contribution to journalArticlepeer-review


We empirically examine Parkinson’s range-based volatility estimate in the federal funds market, which is unique because institutional regulations create a predictable pattern in interday volatility. We find that range-based volatility estimates and standard deviations produce the expected volatility pattern. We also find that at trading pressure points where microstructure noise should be greatest, that range-based estimates are less than the standard deviations. Thus, we support the argument that range-based volatility estimates remove the upward bias created by microstructure noise. We find that the Parkinson method is the most efficient range-based volatility measure among a set of alternates in this market.
Original languageEnglish
Pages (from-to)179-199
JournalJournal of Financial Research
StatePublished - Jun 1 2010


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