On the estimation of integrated covariance matrices of high dimensional diffusion processes
From MaRDI portal
Publication:449988
DOI10.1214/11-AOS939zbMath1246.62182arXiv1005.1862OpenAlexW3124675697MaRDI QIDQ449988
Publication date: 3 September 2012
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1005.1862
Estimation in multivariate analysis (62H12) Asymptotic distribution theory in statistics (62E20) Order statistics; empirical distribution functions (62G30) Markov processes: estimation; hidden Markov models (62M05)
Related Items
On a spiked model for large volatility matrix estimation from noisy high-frequency data ⋮ Sparse PCA-based on high-dimensional Itô processes with measurement errors ⋮ Estimation of high-dimensional integrated covariance matrix based on noisy high-frequency data with multiple observations ⋮ Testing high-dimensional covariance matrices under the elliptical distribution and beyond ⋮ Optimal sparse volatility matrix estimation for high-dimensional Itô processes with measurement errors ⋮ Forecasting co-volatilities via factor models with asymmetry and long memory in realized covariance ⋮ High-dimensional estimation of quadratic variation based on penalized realized variance ⋮ On singular values of data matrices with general independent columns ⋮ Most powerful test against a sequence of high dimensional local alternatives ⋮ On the estimation of integrated covariance matrices of high dimensional diffusion processes ⋮ Random matrix theory in statistics: a review ⋮ Large-dimensional factor modeling based on high-frequency observations ⋮ Estimating the integrated volatility with tick observations ⋮ On the inference about the spectral distribution of high-dimensional covariance matrix based on high-frequency noisy observations ⋮ Vast Volatility Matrix Estimation Using High-Frequency Data for Portfolio Selection ⋮ A unified model for regularized and robust portfolio optimization ⋮ Convergence of the spectrum of empirical covariance matrices for independent MRW processes ⋮ Time-Varying Periodicity in Intraday Volatility ⋮ High-dimensional minimum variance portfolio estimation based on high-frequency data ⋮ Asymptotics for the systematic and idiosyncratic volatility with large dimensional high-frequency data ⋮ Principal Component Analysis of High-Frequency Data ⋮ High-dimensional multivariate realized volatility estimation ⋮ Design-free estimation of integrated covariance matrices for high-frequency data ⋮ On Estimating the Integrated Co-Volatility Using Noisy High-Frequency Data with Jumps
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On the estimation of integrated covariance matrices of high dimensional diffusion processes
- Multivariate realised kernels: consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading
- Spectrum estimation for large dimensional covariance matrices using random matrix theory
- Asymptotic error distributions for the Euler method for stochastic differential equations
- No eigenvalues outside the support of the limiting spectral distribution of large-dimensional sample covariance matrices
- Limiting spectral distribution for a class of random matrices
- Necessary and sufficient condition that the limit of Stieltjes transforms is a Stieltjes transform
- On the empirical distribution of eigenvalues of a class of large dimensional random matrices
- Analysis of the limiting spectral distribution of large dimensional random matrices
- Strong convergence of the empirical distribution of eigenvalues of large dimensional random matrices
- Vast volatility matrix estimation for high-frequency financial data
- Large Volatility Matrix Inference via Combining Low-Frequency and High-Frequency Approaches
- Improved Estimation of Eigenvalues and Eigenvectors of Covariance Matrices Using Their Sample Estimates
- ENHANCEMENT OF THE APPLICABILITY OF MARKOWITZ'S PORTFOLIO OPTIMIZATION BY UTILIZING RANDOM MATRIX THEORY
- The Distribution of Realized Exchange Rate Volatility
- Vast Volatility Matrix Estimation Using High-Frequency Data for Portfolio Selection
- ON ESTIMATION OF THE POPULATION SPECTRAL DISTRIBUTION FROM A HIGH‐DIMENSIONAL SAMPLE COVARIANCE MATRIX
- Econometric Analysis of Realized Covariation: High Frequency Based Covariance, Regression, and Correlation in Financial Economics
This page was built for publication: On the estimation of integrated covariance matrices of high dimensional diffusion processes