Extreme tail risk estimation with the generalized Pareto distribution under the peaks-over-threshold framework
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Publication:5085614
DOI10.1080/03610926.2018.1549253OpenAlexW2906901399MaRDI QIDQ5085614
Xu Zhao, Pengyue Zhang, Wei-hu Cheng
Publication date: 27 June 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2018.1549253
Uses Software
Cites Work
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- Automated threshold selection for extreme value analysis via ordered goodness-of-fit tests with adjustment for false discovery rate
- Asymmetric Least Squares Estimation and Testing
- Assessing value at risk with CARE, the conditional autoregressive expectile models
- Expectile asymptotics
- Geoadditive expectile regression
- Residual life time at great age
- Statistical inference using extreme order statistics
- Likelihood inference for generalized Pareto distribution
- Estimating extreme tail risk measures with generalized Pareto distribution
- Parameter and quantile estimation for the generalized Pareto distribution in peaks over threshold framework
- LIKELIHOOD MOMENT ESTIMATION FOR THE GENERALIZED PARETO DISTRIBUTION
- Parameter and Quantile Estimation for the Generalized Pareto Distribution
- Estimation of Tail Risk Based on Extreme Expectiles
- Computing Maximum Likelihood Estimates for the Generalized Pareto Distribution
- Sequential Selection Procedures and False Discovery Rate Control
- Statistical Inference for Expectile‐based Risk Measures
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