Bias-Correcting the Realized Range-Based Variance in the Presence of Market Microstructure Noise

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Bias-correcting the realized range-based variance in the presence of market microstructure noise

Market microstructure noise is a challenge to high-frequency based estimation of the integrated variance, because the noise accumulates with the sampling frequency. This has lead to widespread use of constructing the realized variance, a sum of squared intraday returns, from sparsely sampled data, for example 5or 15minute returns. In this paper, we analyze the impact of microstructure noise on ...

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Realized Variance and Market Microstructure Noise

We study market microstructure noise in high-frequency data and analyze its implications for the realized variance (RV) under a general specification for the noise. We show that kernel-based estimators can unearth important characteristics of market microstructure noise and that a simple kernel-based estimator dominates the RV for the estimation of integrated variance (IV). An empirical analysi...

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Bias-corrected realized variance under dependent microstructure noise

The aim of this study is to develop a bias-correction method for realized variance (RV) estimation, where the equilibrium price process is contaminated with market microstructure noise, such as bid-ask bounces and price changes discreteness. Though RV constitutes the simplest estimator of daily integrated variance, it remains strongly biased and many estimators proposed in previous studies requ...

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Comment on “ An unbiased measure of realized variance ” and “ Realized variance and market microstructure noise ”

If efficient asset prices follow a semi-martingale and are perfectly observed, their quadratic variation can be measured accurately from the sum of a large number of squared returns sampled over very finely spaced intervals, i.e., realized variance (Andersen et al., 2003, and Barndorff-Nielsen and Shephard, 2002). With the emergence of high-frequency data, it seems that we should be able to ide...

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ژورنال

عنوان ژورنال: SSRN Electronic Journal

سال: 2008

ISSN: 1556-5068

DOI: 10.2139/ssrn.935419