Prediction-based estimating functions for stochastic volatility models with noisy data: comparison with a GMM alternative
DOI10.1007/s10182-015-0248-6zbMath1443.62335OpenAlexW1993713392MaRDI QIDQ1621997
Publication date: 12 November 2018
Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10182-015-0248-6
market microstructure noiseHeston modelrealized varianceGMM estimationprediction-based estimating functions
Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to actuarial sciences and financial mathematics (62P05) Markov processes: estimation; hidden Markov models (62M05)
Cites Work
- Unnamed Item
- Estimation of continuous-time stochastic volatility models with jumps using high-frequency data
- Prediction-based estimating functions: review and new developments
- Basic properties of strong mixing conditions. A survey and some open questions
- Theoretical comparisons of block bootstrap methods
- Estimating stochastic volatility diffusion using conditional moments of integrated volatility
- Microstructure noise in the continuous case: the pre-averaging approach
- Prediction‐based estimating functions
- Non-Gaussian Ornstein–Uhlenbeck-based Models and Some of Their Uses in Financial Economics
- Handbook of Financial Time Series
- Designing Realized Kernels to Measure the ex post Variation of Equity Prices in the Presence of Noise
- A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix
- Econometric Analysis of Realized Volatility and its Use in Estimating Stochastic Volatility Models
- On blocking rules for the bootstrap with dependent data
- A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options
- Semi-Parametric Comparison of Stochastic Volatility Models using Realized Measures
- Lévy-driven CARMA processes
This page was built for publication: Prediction-based estimating functions for stochastic volatility models with noisy data: comparison with a GMM alternative