Inference for time-varying lead-lag relationships from ultra-high-frequency data
DOI10.1007/s42081-021-00106-2zbMath1477.62296OpenAlexW3128413061MaRDI QIDQ825353
Publication date: 17 December 2021
Published in: Japanese Journal of Statistics and Data Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s42081-021-00106-2
high-frequency datasemimartingalestable convergencemicrostructure noisenon-synchronous observationslead-lag relationship
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to actuarial sciences and financial mathematics (62P05) Central limit and other weak theorems (60F05) Non-Markovian processes: estimation (62M09)
Related Items (2)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Limit theory for moderate deviations from a unit root
- A bias-corrected estimator of the covariation matrix of multiple security prices when both microstructure effects and sampling durations are persistent and endogenous
- Testing the parametric form of the volatility in continuous time diffusion models -- a stochastic process approach
- On covariation estimation for multivariate continuous Itō semimartingales with noise in non-synchronous observation schemes
- Limit theorems for the pre-averaged Hayashi-Yoshida estimator with random sampling
- Estimating the quadratic covariation matrix from noisy observations: local method of moments and efficiency
- Bootstrapping integrated covariance matrix estimators in noisy jump-diffusion models with non-synchronous trading
- Inference from high-frequency data: a subsampling approach
- Time endogeneity and an optimal weight function in pre-averaging covariance estimation
- Subsampling high frequency data
- On the limiting spectral distribution of the covariance matrices of time-lagged processes
- Integrated volatility and round-off error
- Discretization of processes.
- Nonsynchronous covariation process and limit theorems
- Multivariate realised kernels: consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading
- Testing for jumps in a discretely observed process
- On tail probabilities for martingales
- A maximal inequality and dependent strong laws
- Martingale invariance principles
- Asymptotics in statistics. Some basic concepts.
- A unified approach to volatility estimation in the presence of both rounding and random market microstructure noise
- Estimating the integrated volatility with tick observations
- Large sample confidence regions based on subsamples under minimal assumptions
- Model checks for the volatility under microstructure noise
- Estimation of the lead-lag parameter from non-synchronous data
- Direct estimation of lead-lag relationships using multinomial dynamic time warping
- Econometrics of co-jumps in high-frequency data with noise
- Maximal inequalities and laws of large numbers for \(L_q\)-mixingale arrays
- Econometric analysis of multivariate realised QML: estimation of the covariation of equity prices under asynchronous trading
- Some limit theorems for Hawkes processes and application to financial statistics
- ESTIMATION OF STOCHASTIC VOLATILITY MODELS BY NONPARAMETRIC FILTERING
- Estimation and Inference With Weak, Semi-Strong, and Strong Identification
- Robust Estimation and Inference for Jumps in Noisy High Frequency Data: A Local-to-Continuity Theory for the Pre-Averaging Method
- A new microstructure noise index
- Wavelet-Based Methods for High-Frequency Lead-Lag Analysis
- Towards a unified asymptotic theory for autoregression
- Volatility is rough
- On the Asymptotic Structure of Brownian Motions with a Small Lead-Lag Effect
- Assessment of Uncertainty in High Frequency Data: The Observed Asymptotic Variance
- Statistical Properties of Microstructure Noise
- Power Variations and Testing for Co‐Jumps: The Small Noise Approach
- Ultra‐High‐Frequency Algorithmic Arbitrage Across International Index Futures
- NONPARAMETRIC FILTERING OF THE REALIZED SPOT VOLATILITY: A KERNEL-BASED APPROACH
- Ratios of Normal Variables and Ratios of Sums of Uniform Variables
- Spectral Estimation of Covolatility from Noisy Observations Using Local Weights
- A CLOSER LOOK AT THE EPPS EFFECT
- ESTIMATION OF INTEGRATED COVARIANCES IN THE SIMULTANEOUS PRESENCE OF NONSYNCHRONICITY, MICROSTRUCTURE NOISE AND JUMPS
This page was built for publication: Inference for time-varying lead-lag relationships from ultra-high-frequency data