Inferences in Stochastic Volatility Models: A New Simpler Way
DOI10.1007/978-3-319-31260-6_4zbMath1407.62329OpenAlexW2482593290MaRDI QIDQ4645250
Nan Zheng, Vickneswary Tagore, Brajendra Chandra Sutradhar
Publication date: 10 January 2019
Published in: Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-319-31260-6_4
quasi-maximum likelihood estimationconsistent estimationlarge sample propertiessmall sample comparisonanalytical estimationcorrelated squared observationsgeneralized method of moments and complexitykurtosis estimationsimpler method of moments using fewer unbiased estimating equationstime dependent variancesvolatility parameters
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to actuarial sciences and financial mathematics (62P05) Exact distribution theory in statistics (62E15)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Large Sample Properties of Generalized Method of Moments Estimators
- Efficient estimation of models for dynamic panel data
- Stochastic volatility in asset prices. Estimation with simulated maximum likelihood
- Quasi-maximum likelihood estimation of stochastic volatility models
- Inversion of a tridiagonal Jacobi matrix
- GMM and QML asymptotic standard deviations in stochastic volatility models: Comments on Ruiz (1994)
- QML and GMM estimators of stochastic volatility models: Response to Andersen and Sørensen
- GMM versus GQL inferences in semiparametric linear dynamic mixed models
- Estimating Stochastic Volatility Models: A Comparison of Two Importance Samplers
- Multivariate Stochastic Variance Models
- Likelihood analysis of non-Gaussian measurement time series
- Monte Carlo maximum likelihood estimation for non-Gaussian state space models
- Analysis of Financial Time Series
- Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations