Multipower Variation and Stochastic Volatility
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[1] N. Shephard,et al. Non‐Gaussian Ornstein–Uhlenbeck‐based models and some of their uses in financial economics , 2001 .
[2] Neil Shephard,et al. Regular and Modified Kernel-Based Estimators of Integrated Variance: The Case with Independent Noise , 2004 .
[3] P. Hansen,et al. An Unbiased Measure of Realized Variance , 2004 .
[4] N. Shephard,et al. Power and bipower variation with stochastic volatility and jumps , 2003 .
[5] Lan Zhang,et al. A Tale of Two Time Scales , 2003 .
[6] B. Werker. Discussion of "Non-Gaussian Ornstein-Uhlenbeck-based models and some of their uses in financial economics" by Barndorff-Nielsen and Shephard , 2001 .
[7] Jean Jacod,et al. A Central Limit Theorem for Realised Power and Bipower Variations of Continuous Semimartingales , 2004 .
[8] Neil Shephard,et al. Limit theorems for multipower variation in the presence of jumps , 2006 .
[9] Jeannette H. C. Woerner. Power and Multipower Variation: inference for high frequency data , 2006 .
[10] N. Shephard. Stochastic Volatility: Selected Readings , 2005 .
[11] Calyampudi Radhakrishna Rao,et al. Statistical methods in finance , 1996 .
[12] N. Shephard,et al. Econometric analysis of realised volatility and its use in estimating stochastic volatility models , 2000 .
[13] N. Shephard,et al. Power Variation and Time Change , 2006 .
[14] N. Shephard,et al. Realised power variation and stochastic volatility models , 2003 .
[15] Lan Zhang. Efficient Estimation of Stochastic Volatility Using Noisy Observations: A Multi-Scale Approach , 2004, math/0411397.
[16] N. Shephard,et al. Econometric analysis of realized volatility and its use in estimating stochastic volatility models , 2002 .
[17] Jeffrey R. Russell,et al. Microstructure noise, realized volatility, and optimal sampling , 2004 .
[18] A. Harvey,et al. 5 Stochastic volatility , 1996 .
[19] Per A. Mykland,et al. ANOVA for diffusions , 2003 .
[20] N. Shephard,et al. Econometric Analysis of Realized Covariation: High Frequency Based Covariance, Regression, and Correlation in Financial Economics , 2004 .