High-dimensional estimation of quadratic variation based on penalized realized variance
Fuente:
arXiv
Guardado en:
| Autores principales: | Christensen, Kim, Nielsen, Mikkel Slot, Podolskij, Mark |
|---|---|
| Formato: | Preprint |
| Publicado: |
2021
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Realized range-based estimation of integrated variance
por: Christensen, Kim, et al.
Publicado: (2026)
por: Christensen, Kim, et al.
Publicado: (2026)
Realised quantile-based estimation of the integrated variance
por: Christensen, Kim, et al.
Publicado: (2026)
por: Christensen, Kim, et al.
Publicado: (2026)
Asymptotic theory of range-based multipower variation
por: Christensen, Kim, et al.
Publicado: (2026)
por: Christensen, Kim, et al.
Publicado: (2026)
Is the diurnal pattern sufficient to explain intraday variation in volatility? A nonparametric assessment
por: Christensen, Kim, et al.
Publicado: (2026)
por: Christensen, Kim, et al.
Publicado: (2026)
On covariation estimation for multivariate continuous Itô semimartingales with noise in non-synchronous observation schemes
por: Christensen, Kim, et al.
Publicado: (2026)
por: Christensen, Kim, et al.
Publicado: (2026)
Pre-averaging estimators of the ex-post covariance matrix in noisy diffusion models with non-synchronous data
por: Christensen, Kim, et al.
Publicado: (2026)
por: Christensen, Kim, et al.
Publicado: (2026)
Linear Regression with Weak Exogeneity
por: Mikusheva, Anna, et al.
Publicado: (2023)
por: Mikusheva, Anna, et al.
Publicado: (2023)
Estimation and exclusion restrictions in clustered linear models
por: Mikusheva, Anna, et al.
Publicado: (2025)
por: Mikusheva, Anna, et al.
Publicado: (2025)
The realized empirical distribution function of stochastic variance with application to goodness-of-fit testing
por: Christensen, Kim, et al.
Publicado: (2026)
por: Christensen, Kim, et al.
Publicado: (2026)
On (in)consistency of M-estimators under contamination
por: Klooster, Jens, et al.
Publicado: (2025)
por: Klooster, Jens, et al.
Publicado: (2025)
Fact or friction: Jumps at ultra high frequency
por: Christensen, Kim, et al.
Publicado: (2026)
por: Christensen, Kim, et al.
Publicado: (2026)
Inference from high-frequency data: A subsampling approach
por: Christensen, Kim, et al.
Publicado: (2026)
por: Christensen, Kim, et al.
Publicado: (2026)
Uniform Inference on High-dimensional Spatial Panel Networks
por: Chernozhukov, Victor, et al.
Publicado: (2021)
por: Chernozhukov, Victor, et al.
Publicado: (2021)
Optimal Decision Rules when Payoffs are Partially Identified
por: Christensen, Timothy, et al.
Publicado: (2022)
por: Christensen, Timothy, et al.
Publicado: (2022)
Bayesian Outlier Detection for Matrix-variate Models
por: Billio, Monica, et al.
Publicado: (2025)
por: Billio, Monica, et al.
Publicado: (2025)
Reinterpreting demand estimation
por: Chen, Jiafeng
Publicado: (2025)
por: Chen, Jiafeng
Publicado: (2025)
Double/Debiased CoCoLASSO of Treatment Effects with Mismeasured High-Dimensional Control Variables
por: Kim, Geonwoo, et al.
Publicado: (2024)
por: Kim, Geonwoo, et al.
Publicado: (2024)
Improved inference for nonparametric regression and regression-discontinuity designs
por: Cavaliere, Giuseppe, et al.
Publicado: (2025)
por: Cavaliere, Giuseppe, et al.
Publicado: (2025)
On the estimation of leverage effect and volatility of volatility in the presence of jumps
por: Liu, Qiang, et al.
Publicado: (2025)
por: Liu, Qiang, et al.
Publicado: (2025)
The purpose of an estimator is what it does: Misspecification, estimands, and over-identification
por: Andrews, Isaiah, et al.
Publicado: (2025)
por: Andrews, Isaiah, et al.
Publicado: (2025)
Efficient estimation of average treatment effects with unmeasured confounding and proxies
por: Ai, Chunrong, et al.
Publicado: (2025)
por: Ai, Chunrong, et al.
Publicado: (2025)
A simple distributional difference-in-differences estimator for univariate and bivariate outcomes
por: Fernández-Val, Iván, et al.
Publicado: (2024)
por: Fernández-Val, Iván, et al.
Publicado: (2024)
Partial identification via conditional linear programs: estimation and policy learning
por: Ben-Michael, Eli
Publicado: (2025)
por: Ben-Michael, Eli
Publicado: (2025)
Functional instrumental variable regression with an application to estimating the impact of immigration on native wages
por: Seong, Dakyung, et al.
Publicado: (2021)
por: Seong, Dakyung, et al.
Publicado: (2021)
Asymptotic equivalence of Principal Components and Quasi Maximum Likelihood estimators in Large Approximate Factor Models
por: Barigozzi, Matteo
Publicado: (2023)
por: Barigozzi, Matteo
Publicado: (2023)
Estimation of High-dimensional Nonlinear Vector Autoregressive Models
por: Han, Yuefeng, et al.
Publicado: (2025)
por: Han, Yuefeng, et al.
Publicado: (2025)
Data Synchronization at High Frequencies
por: Kong, Xinbing, et al.
Publicado: (2025)
por: Kong, Xinbing, et al.
Publicado: (2025)
Adaptive Estimation and Uniform Confidence Bands for Nonparametric Structural Functions and Elasticities
por: Chen, Xiaohong, et al.
Publicado: (2021)
por: Chen, Xiaohong, et al.
Publicado: (2021)
Latent community paths in VAR-type models via dynamic directed spectral co-clustering
por: Kim, Younghoon, et al.
Publicado: (2026)
por: Kim, Younghoon, et al.
Publicado: (2026)
A Powerful Bootstrap Test of Independence in High Dimensions
por: Olivares, Mauricio, et al.
Publicado: (2025)
por: Olivares, Mauricio, et al.
Publicado: (2025)
Testing for an Explosive Bubble using High-Frequency Volatility
por: Boswijk, H. Peter, et al.
Publicado: (2024)
por: Boswijk, H. Peter, et al.
Publicado: (2024)
Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data
por: Sacher, Szymon, et al.
Publicado: (2021)
por: Sacher, Szymon, et al.
Publicado: (2021)
Dynamic Matrix Factor Models for High Dimensional Time Series
por: Yu, Ruofan, et al.
Publicado: (2024)
por: Yu, Ruofan, et al.
Publicado: (2024)
Ridge Estimation of High Dimensional Two-Way Fixed Effect Regression
por: He, Junnan, et al.
Publicado: (2026)
por: He, Junnan, et al.
Publicado: (2026)
Bayesian penalized empirical likelihood and Markov Chain Monte Carlo sampling
por: Chang, Jinyuan, et al.
Publicado: (2024)
por: Chang, Jinyuan, et al.
Publicado: (2024)
Nonparametric Estimation of Large Spot Volatility Matrices for High-Frequency Financial Data
por: Bu, Ruijun, et al.
Publicado: (2023)
por: Bu, Ruijun, et al.
Publicado: (2023)
Inference for Forecasting Accuracy: Pooled versus Individual Estimators in High-dimensional Panel Data
por: Kutta, Tim, et al.
Publicado: (2025)
por: Kutta, Tim, et al.
Publicado: (2025)
Estimating Factor-Based Spot Volatility Matrices with Noisy and Asynchronous High-Frequency Data
por: Li, Degui, et al.
Publicado: (2024)
por: Li, Degui, et al.
Publicado: (2024)
Forward Regression via Gram-Schmidt Orthogonalization for Ultra-High Dimensional Linear Models
por: Chen, Jialuo, et al.
Publicado: (2025)
por: Chen, Jialuo, et al.
Publicado: (2025)
Covariance Function Estimation for High-Dimensional Functional Time Series with Dual Factor Structures
por: Leng, Chenlei, et al.
Publicado: (2024)
por: Leng, Chenlei, et al.
Publicado: (2024)
Ejemplares similares
-
Realized range-based estimation of integrated variance
por: Christensen, Kim, et al.
Publicado: (2026) -
Realised quantile-based estimation of the integrated variance
por: Christensen, Kim, et al.
Publicado: (2026) -
Asymptotic theory of range-based multipower variation
por: Christensen, Kim, et al.
Publicado: (2026) -
Is the diurnal pattern sufficient to explain intraday variation in volatility? A nonparametric assessment
por: Christensen, Kim, et al.
Publicado: (2026) -
On covariation estimation for multivariate continuous Itô semimartingales with noise in non-synchronous observation schemes
por: Christensen, Kim, et al.
Publicado: (2026)