This paper presents two classes of tick-by-tick covariance estimators adapted to the case of rounding in the price time stamps to a frequency lower than the typical arrival rate of tick prices. Through Monte Carlo simulations, we investigate the behavior of such estimators under realistic market microstructure conditions analogous to those of the financial data examined in this paper's empirical section, that is, nonsynchronous trading, general ARMA structure for microstructure noise, and true lead-lag cross-covariance. Simulation results show the robustness of the proposed tick-by-tick covariance estimators to time stamp rounding, and their overall performance is superior to competing covariance estimators under empirically realistic micro...
textabstractThis dissertation consists of three studies on the use of intraday asset price data for ...
Amodel of market microstructure invariance is presented based on the intuition that stocks with high...
This thesis aims at providing insight into comovements of financial assets at high frequency from an...
This paper presents two classes of tick-by-tick covariance estimators adapted to the case of roundin...
This paper presents two classes of tick-by-tick covariance estimators adapted to the case of roundin...
Assessing the economic value of increasingly precise covariance estimates is of great interest in fi...
This paper studies the problem of covariance estimation when price observations are subject to non-s...
This paper studies the problem of covariance estimation when prices are observed non-synchronously a...
This article introduces a new model for transaction prices in the presence of market microstructure ...
This article introduces a new model for transaction prices in the presence of market microstructure ...
This article introduces a new model for transaction prices in the presence of market microstructure ...
We analyze the effects of market microstructure noise on the Fourier estimator of multivariate volat...
[[abstract]]It is documented that realized variance (RV) sampled at ultra-high frequency is unreliab...
In this paper I study the statistical properties of a bias corrected realized variance measure when ...
We introduce a novel weighted least squares approach to estimate daily realized covariation and micr...
textabstractThis dissertation consists of three studies on the use of intraday asset price data for ...
Amodel of market microstructure invariance is presented based on the intuition that stocks with high...
This thesis aims at providing insight into comovements of financial assets at high frequency from an...
This paper presents two classes of tick-by-tick covariance estimators adapted to the case of roundin...
This paper presents two classes of tick-by-tick covariance estimators adapted to the case of roundin...
Assessing the economic value of increasingly precise covariance estimates is of great interest in fi...
This paper studies the problem of covariance estimation when price observations are subject to non-s...
This paper studies the problem of covariance estimation when prices are observed non-synchronously a...
This article introduces a new model for transaction prices in the presence of market microstructure ...
This article introduces a new model for transaction prices in the presence of market microstructure ...
This article introduces a new model for transaction prices in the presence of market microstructure ...
We analyze the effects of market microstructure noise on the Fourier estimator of multivariate volat...
[[abstract]]It is documented that realized variance (RV) sampled at ultra-high frequency is unreliab...
In this paper I study the statistical properties of a bias corrected realized variance measure when ...
We introduce a novel weighted least squares approach to estimate daily realized covariation and micr...
textabstractThis dissertation consists of three studies on the use of intraday asset price data for ...
Amodel of market microstructure invariance is presented based on the intuition that stocks with high...
This thesis aims at providing insight into comovements of financial assets at high frequency from an...