Drift Independent Volatility Estimation Based on High, Low, Open, and Close Prices
- 1 July 2000
- journal article
- Published by University of Chicago Press in The Journal of Business
- Vol. 73 (3), 477-492
- https://doi.org/10.1086/209650
Abstract
We present a new volatility estimator based on multiple periods of high, low, open, and close prices in a historical time series. The new estimator has the following nice properties: it is (a) unbiased in the continuous limit, (b) independent of the drift, (c) consistent in dealing with opening price jumps. Furthermore, it has the smallest variance among all estimators with similar properties. The improvement of accuracy over the classical close‐to‐close estimator is dramatic for real‐life time series.Keywords
This publication has 8 references indexed in Scilit:
- Handbook of Brownian Motion — Facts and FormulaePublished by Springer Science and Business Media LLC ,1996
- Estimating the volatility of stock prices: a comparison of methods that use high and low pricesApplied Financial Economics, 1994
- Improving the Parkinson Method of Estimating Security Price VolatilitiesThe Journal of Business, 1992
- Estimating Variance From High, Low and Closing PricesThe Annals of Applied Probability, 1991
- The Maximum Likelihood Estimation of Security Price Volatility: Theory, Evidence, and Application to Option PricingThe Journal of Business, 1984
- Variances of Security Price Returns Based on High, Low, and Closing PricesThe Journal of Business, 1983
- The Extreme Value Method for Estimating the Variance of the Rate of ReturnThe Journal of Business, 1980
- On the Estimation of Security Price Volatilities from Historical DataThe Journal of Business, 1980