Bayesian value-at-risk and expected shortfall forecasting via the asymmetric Laplace distribution
From MaRDI portal
Publication:1927130
DOI10.1016/j.csda.2010.06.018zbMath1254.91750OpenAlexW1975701367MaRDI QIDQ1927130
Qi'an Chen, Richard H. Gerlach, Zu-di Lu
Publication date: 30 December 2012
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2010.06.018
value-at-riskasymmetric Laplace distributionexpected shortfallback-testingdynamic quantiledynamic skewness
Inference from stochastic processes and prediction (62M20) Applications of statistics to actuarial sciences and financial mathematics (62P05) Statistical methods; risk measures (91G70) Bayesian inference (62F15) Economic time series analysis (91B84)
Related Items
Bayesian estimation of smoothly mixing time-varying parameter GARCH models ⋮ Semi-parametric Bayesian tail risk forecasting incorporating realized measures of volatility ⋮ A generalized error distribution copula-based method for portfolios risk assessment ⋮ Unfolded GARCH models ⋮ RISK MARGIN QUANTILE FUNCTION VIA PARAMETRIC AND NON-PARAMETRIC BAYESIAN APPROACHES ⋮ Markov switching quantile autoregression ⋮ Semi-parametric expected shortfall forecasting in financial markets ⋮ Inference for grouped data with a truncated skew-Laplace distribution ⋮ On generalised asymmetric stochastic volatility models ⋮ Data driven value-at-risk forecasting using a SVR-GARCH-KDE hybrid ⋮ Asymptotically efficient estimation of the conditional expected shortfall ⋮ Forecasting trade durations via ACD models with mixture distributions ⋮ Asymmetric dynamics between uncertainty and unemployment flows in the United States ⋮ CHARACTERIZATIONS OF MULTINORMALITY AND CORRESPONDING TESTS OF FIT, INCLUDING FOR GARCH MODELS ⋮ Bayesian estimation of a skew-Student-\(t\) stochastic volatility model ⋮ Tests for conditional ellipticity in multivariate GARCH models ⋮ A parsimonious parametric model for generating margin requirements for futures ⋮ A generalized class of skew distributions and associated robust quantile regression models ⋮ Skew exponential power stochastic volatility model for analysis of skewness, non-normal tails, quantiles and expectiles ⋮ Comparison of value-at-risk models using the MCS approach ⋮ Bayesian realized-GARCH models for financial tail risk forecasting incorporating the two-sided Weibull distribution ⋮ Two-sided exponential-geometric distribution: inference and volatility modeling ⋮ Forecasting risk via realized GARCH, incorporating the realized range ⋮ Estimation methods for expected shortfall
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank: an application of flexible sampling methods using neural networks
- Estimation of the Pareto law from underreported data. A further analysis
- Generalized autoregressive conditional heteroscedasticity
- Bayesian skew selection for multivariate models
- Coherent Measures of Risk
- Conditional Heteroskedasticity in Asset Returns: A New Approach
- Quantile regression for longitudinal data using the asymmetric Laplace distribution
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- Autoregressive Conditional Density Estimation
- Distributions Generated by Perturbation of Symmetry with Emphasis on a Multivariate Skewt-Distribution
- Equation of State Calculations by Fast Computing Machines
- Monte Carlo sampling methods using Markov chains and their applications
- A Three-Parameter Asymmetric Laplace Distribution and Its Extension
- AUTOMATED INFERENCE AND LEARNING IN MODELING FINANCIAL VOLATILITY
- Bayesian quantile regression