Pre-averaging estimators of the ex-post covariance matrix in noisy diffusion models with non-synchronous data
DOI10.1016/j.jeconom.2010.05.001zbMath1431.62472OpenAlexW3124202622MaRDI QIDQ736693
Kim Christensen, Mark Podolskij, Silja Kinnebrock
Publication date: 4 August 2016
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jeconom.2010.05.001
central limit theoremhigh-frequency datadiffusion modelsmarket microstructure noisepre-averagingnon-synchronous tradingrealised covariance
Applications of statistics to actuarial sciences and financial mathematics (62P05) Central limit and other weak theorems (60F05) Markov processes: estimation; hidden Markov models (62M05)
Related Items (81)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- ANOVA for diffusions and Itō processes
- Estimation of volatility functionals in the simultaneous presence of microstructure noise and jumps
- Realised quantile-based estimation of the integrated variance
- Covariance measurement in the presence of non-synchronous trading and market microstructure noise
- Multivariate realised kernels: consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading
- An econometric analysis of nonsynchronous trading
- Asset pricing for general processes
- A note on the central limit theorem for bipower variation of general functions
- Asymptotic normality of a covariance estimator for nonsynchronously observed diffusion processes
- On mixing and stability of limit theorems
- A general version of the fundamental theorem of asset pricing
- On covariance estimation of non-synchronously observed diffusion processes
- Fourier series method for measurement of multivariate volatilities
- Microstructure noise in the continuous case: the pre-averaging approach
- Modeling tick-by-tick realized correlations
- Efficient estimation of stochastic volatility using noisy observations: a multi-scale approach
- Microstructure Noise, Realized Variance, and Optimal Sampling
- Designing Realized Kernels to Measure the ex post Variation of Equity Prices in the Presence of Noise
- Realized Beta: Persistence and Predictability
- Inference for Continuous Semimartingales Observed at High Frequency
- Diffusions with measurement errors. I. Local Asymptotic Normality
- Diffusions with measurement errors. II. Optimal estimators
- Econometric Analysis of Realized Volatility and its Use in Estimating Stochastic Volatility Models
- The Distribution of Realized Exchange Rate Volatility
- Power Variation and Time Change
- Modeling and Forecasting Realized Volatility
- Econometric Analysis of Realized Covariation: High Frequency Based Covariance, Regression, and Correlation in Financial Economics
- A CLOSER LOOK AT THE EPPS EFFECT
- A Tale of Two Time Scales
This page was built for publication: Pre-averaging estimators of the ex-post covariance matrix in noisy diffusion models with non-synchronous data