High-frequency-based volatility model with network structure

Asymptotic properties of parametric estimators (62F12) Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Inference from stochastic processes (62Mxx)

Cites Work

Unified discrete-time and continuous-time models and statistical inferences for merged low-frequency and high-frequency financial data
Volatility analysis with realized GARCH-Itô models
A multiple indicators model for volatility using intra-daily data
Predicting volatility: getting the most out of return data sampled at different frequencies
Does anything beat 5-minute RV? A comparison of realized measures across multiple asset classes
Data-based ranking of realised volatility estimators
Quasi-maximum likelihood estimation of volatility with high frequency data
Estimating covariation: Epps effect, microstructure noise
Volatility forecast comparison using imperfect volatility proxies
Factor GARCH-Itô models for high-frequency data with application to large volatility matrix prediction
Generalized autoregressive conditional heteroscedasticity
Asymptotic nonequivalence of GARCH models and diffusions
Network vector autoregression
Unified discrete-time factor stochastic volatility and continuous-time Itô models for combining inference based on low-frequency and high-frequency
Microstructure noise in the continuous case: the pre-averaging approach
Efficient estimation of stochastic volatility using noisy observations: a multi-scale approach
Statistical mechanics of complex networks
Designing Realized Kernels to Measure the ex post Variation of Equity Prices in the Presence of Noise
Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances
The Structure and Function of Complex Networks
High-frequency cross-correlation in a set of stocks
Econometric Analysis of Realized Volatility and its Use in Estimating Stochastic Volatility Models
The Distribution of Realized Exchange Rate Volatility
Network GARCH Model
A new volatility model: GQARCH‐ItÔ model
A Tale of Two Time Scales

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