ESTIMATION RISK IN GARCH VaR AND ES ESTIMATES
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Publication:3632423
DOI10.1017/S0266466608080559zbMath1283.91086MaRDI QIDQ3632423
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Publication date: 11 June 2009
Published in: Econometric Theory (Search for Journal in Brave)
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Related Items (7)
Confidence intervals for ARMA-GARCH value-at-risk: the case of heavy tails and skewness ⋮ SIMULTANEOUS CONFIDENCE BANDS FOR CONDITIONAL VALUE-AT-RISK AND EXPECTED SHORTFALL ⋮ A practical multivariate approach to testing volatility spillover ⋮ A semi-parametric conditional autoregressive joint value-at-risk and expected shortfall modeling framework incorporating realized measures ⋮ A residual bootstrap for conditional value-at-risk ⋮ Backtesting portfolio value‐at‐risk with estimated portfolio weights ⋮ Inference for conditional value-at-risk of a predictive regression
Cites Work
- Unnamed Item
- Interval estimation of value-at-risk based on GARCH models with heavy-tailed innovations
- Self-weighted and local quasi-maximum likelihood estimators for ARMA-GARCH/IGARCH models
- Stationarity of GARCH processes and of some nonnegative time series
- Effect of bias estimation on coverage accuracy of bootstrap confidence intervals for a probability density
- GARCH processes: structure and estimation
- Generalized autoregressive conditional heteroscedasticity
- On bandwidth variation in kernel estimates. A square root law
- Random means
- Fitting an error distribution in some heteroscedastic time series models
- Limit results for the empirical process of squared residuals in GARCH models.
- Coherent Measures of Risk
- Least absolute deviations estimation for ARCH and GARCH models
- Approximation Theorems of Mathematical Statistics
- MAXIMUM LIKELIHOOD ESTIMATION USING PRICE DATA OF THE DERIVATIVE CONTRACT
- Nonparametric Estimation and Sensitivity Analysis of Expected Shortfall
- The residual empirical distribution function in GARCH(1,1) and its application in hypothesis testing
- Consistency and Asymptotic Normality of the Quasi-Maximum Likelihood Estimator in IGARCH(1,1) and Covariance Stationary GARCH(1,1) Models
- Inference in Arch and Garch Models with Heavy-Tailed Errors
- A New Proof of the Bahadur Representation of Quantiles and an Application
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