Bias-corrected realized variance under dependent microstructure noise
نویسندگان
چکیده
منابع مشابه
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...
متن کاملMicrostructure Noise , Realized Variance , and Optimal Sampling ∗
Observed asset prices are known to deviate from their efficient values due to market microstructure frictions. This paper studies the effects of market microstructure noise on nonparametric estimates of the efficient price integrated variance. Specifically, we consider both asymptotic and finite sample effects of general market microstructure noise on realized variance estimates. The finite sam...
متن کاملRealized 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...
متن کاملComment 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...
متن کاملBias-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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ژورنال
عنوان ژورنال: Mathematics and Computers in Simulation
سال: 2011
ISSN: 0378-4754
DOI: 10.1016/j.matcom.2010.04.017