High-frequency-based volatility model with network structure
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Publication:6641045
DOI10.1111/jtsa.12726MaRDI QIDQ6641045
Huiling Yuan, Guodong Li, Junhui Wang, Kexin Lu
Publication date: 20 November 2024
Published in: Journal of Time Series Analysis (Search for Journal in Brave)
high-frequency datanetwork structurequasi-maximum likelihood estimatorslow-frequency datavolatility prediction power
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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