Measuring volatility with the realized range

[1]  M. Parkinson The Extreme Value Method for Estimating the Variance of the Rate of Return , 1980 .

[2]  M. J. Klass,et al.  On the Estimation of Security Price Volatilities from Historical Data , 1980 .

[3]  S. Beckers,et al.  Variances of Security Price Returns Based on High , 1983 .

[4]  William L. Silber,et al.  Financial Options: From Theory to Practice , 1990 .

[5]  L. Rogers,et al.  Estimating Variance From High, Low and Closing Prices , 1991 .

[6]  Naoto Kunitomo,et al.  Improving the Parkinson Method of Estimating Security Price Volatilities , 1992 .

[7]  F. Diebold,et al.  Comparing Predictive Accuracy , 1994, Business Cycles.

[8]  Dean P. Foster,et al.  Continuous Record Asymptotics for Rolling Sample Variance Estimators , 1994 .

[9]  Paul Newbold,et al.  Testing the equality of prediction mean squared errors , 1997 .

[10]  P. Newbold,et al.  Tests for Forecast Encompassing , 1998 .

[11]  T. Bollerslev,et al.  ANSWERING THE SKEPTICS: YES, STANDARD VOLATILITY MODELS DO PROVIDE ACCURATE FORECASTS* , 1998 .

[12]  D. Yang,et al.  Drift Independent Volatility Estimation Based on High, Low, Open, and Close Prices , 2000 .

[13]  N. Shephard,et al.  Econometric analysis of realised volatility and its use in estimating stochastic volatility models , 2000 .

[14]  Chris Kirby,et al.  The Economic Value of Volatility Timing Using 'Realized' Volatility , 2001 .

[15]  Francis X. Diebold,et al.  Modeling and Forecasting Realized Volatility , 2001 .

[16]  Michael W. Brandt,et al.  Range-Based Estimation of Stochastic Volatility Models , 2001 .

[17]  F. Diebold,et al.  The Distribution of Realized Exchange Rate Volatility , 2000 .

[18]  F. Diebold,et al.  The distribution of realized stock return volatility , 2001 .

[19]  Eric Ghysels,et al.  Rolling-Sample Volatility Estimators , 2002 .

[20]  Eric Ghysels,et al.  Rolling-Sample Volatility Estimators , 2002 .

[21]  N. Shephard,et al.  Econometric analysis of realized volatility and its use in estimating stochastic volatility models , 2002 .

[22]  Yacine Ait-Sahalia,et al.  How Often to Sample a Continuous-Time Process in the Presence of Market Microstructure Noise , 2003 .

[23]  Lan Zhang,et al.  A Tale of Two Time Scales , 2003 .

[24]  P. Hansen,et al.  Consistent Ranking of Volatility Models , 2006 .

[25]  Neil Shephard,et al.  Regular and Modified Kernel-Based Estimators of Integrated Variance: The Case with Independent Noise , 2004 .

[26]  Jeffrey R. Russell,et al.  Separating Microstructure Noise from Volatility , 2004 .

[27]  Jeffrey R. Russell,et al.  Microstructure noise, realized volatility, and optimal sampling , 2004 .

[28]  P. Hansen,et al.  A Realized Variance for the Whole Day Based on Intermittent High-Frequency Data , 2005 .

[29]  P. Hansen,et al.  Realized Variance and Market Microstructure Noise , 2005 .

[30]  Jeehye Lee Essays on Financial Econometrics , 2012 .

[31]  Turan G. Bali,et al.  A comparative study of alternative extreme‐value volatility estimators , 2005 .

[32]  Andrew J. Patton,et al.  Volatility Forecast Evaluation and Comparison Using Imperfect Volatility Proxies , 2005 .

[33]  Kim Christensen,et al.  Asymptotic theory for range-based estimation of integrated variance of a continuous semi-martingale , 2005 .

[34]  A No-Arbitrage Approach to Range-Based Estimation of Return Covariances and Correlations , 2006 .

[35]  Asger Lunde,et al.  Realized Variance and Market Microstructure Noise , 2006 .

[36]  Kim Christensen,et al.  Realized Range-Based Estimation of Integrated Variance , 2006 .

[37]  Federico M. Bandi,et al.  Microstructure Noise, Realized Variance, and Optimal Sampling , 2008 .