LIFE Working Paper 04 – 008 “ Realized Variance in the Presence of non - IID Microstructure Noise
نویسندگان
چکیده
It is a well known fact that at high sampling frequencies, the contamination of microstructure noise causes the Realized Variance to be a biased measure of the Integrated Variance. Recent developments in this field propose sampling on lower frequencies, sub-sampling techniques, or bias corrections using the autocorrelation patterns in the data. In this paper we propose a structural decomposition of the efficient price process and the microstructure noise. In this decomposition we allow for potential correlation between the efficient price and the microstructure noise. We apply this decomposition to 20 actively traded stocks at Nasdaq. Our results suggest that ignoring this correlation leads to an upward bias in the Realized Variance. As our model is designed for ultra-high frequency data, we can study the impact of time between transaction on the evolution of the efficient price and on the correlation between the microstructure noise and the efficient price.
منابع مشابه
Realized Variance in the presence of non-IID Microstructure noise: A Structural Approach
It is a well known fact that at high sampling frequencies, the contamination of microstructure noise causes the Realized Variance to be a biased measure of the Integrated Variance. Recent developments in this field propose sampling on lower frequencies, sub-sampling techniques, or bias corrections using the autocorrelation patterns in the data. In this paper we propose a structural decompositio...
متن کاملRealized Volatility in Noisy Prices: a MSRV approach
Volatility is the primary measure of risk in modern finance and volatility estimation and inference has attracted substantial attention in the recent financial econometric literature, especially in high-frequency analyses. High-frequency prices carry a significant amount of noise. Therefore, there are two volatility components embedded in the returns constructed using high frequency prices: the...
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 ...
متن کاملMicrostructure noise, realized volatility, and optimal sampling∗
Recorded prices are known to diverge from their “efficient” values due to the presence of market microstructure contaminations. The microstructure noise creates a dichotomy in the model-free estimation of integrated volatility. While it is theoretically necessary to sum squared returns that are computed over very small intervals to better indentify the underlying volatility over a period, the s...
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 کامل