Vast volatility matrix estimation for high-frequency financial data
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Publication:2380093
DOI10.1214/09-AOS730zbMath1183.62184arXiv1002.4754MaRDI QIDQ2380093
Publication date: 24 March 2010
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1002.4754
diffusionregularizationconvergence ratematrix normthresholdsparsityrealized volatilityintegrated volatilitymicro-structure noise
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Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Estimating quadratic variation consistently in the presence of endogenous and diurnal measurement error
- Estimating covariation: Epps effect, microstructure noise
- Multivariate realised kernels: consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading
- Covariance regularization by thresholding
- Operator norm consistent estimation of large-dimensional sparse covariance matrices
- Robustness of Fourier estimator of integrated volatility in the presence of microstructure noise
- On covariance estimation of non-synchronously observed diffusion processes
- On the distribution of the largest eigenvalue in principal components analysis
- Asymptotic nonequivalence of GARCH models and diffusions
- Tracy-Widom limit for the largest eigenvalue of a large class of complex sample covariance matrices
- Microstructure noise in the continuous case: the pre-averaging approach
- Regularized estimation of large covariance matrices
- Efficient estimation of stochastic volatility using noisy observations: a multi-scale approach
- A Theory of the Term Structure of Interest Rates
- Designing Realized Kernels to Measure the ex post Variation of Equity Prices in the Presence of Noise
- Multi-Scale Jump and Volatility Analysis for High-Frequency Financial Data
- Econometric Analysis of Realized Volatility and its Use in Estimating Stochastic Volatility Models
- On Consistency and Sparsity for Principal Components Analysis in High Dimensions
- Modeling and Forecasting Realized Volatility
- Econometric Analysis of Realized Covariation: High Frequency Based Covariance, Regression, and Correlation in Financial Economics
- A Tale of Two Time Scales
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