A Bayesian approach for more reliable tail risk forecasts
Year of publication: |
2023
|
---|---|
Authors: | Li, Dan ; Clements, Adam ; Drovandi, Christopher |
Published in: |
Journal of financial stability. - Amsterdam [u.a.] : Elsevier, ISSN 1572-3089, ZDB-ID 2222049-5. - Vol. 64.2023, p. 1-22
|
Subject: | CAViaR | Value-at-risk | Expected shortfall | Sequential Monte Carlo | Uncertainty quantification | Systemic risk | Risikomaß | Risk measure | Monte-Carlo-Simulation | Monte Carlo simulation | Bayes-Statistik | Bayesian inference | Risiko | Risk | Risikomanagement | Risk management | Prognoseverfahren | Forecasting model | Theorie | Theory | Systemrisiko | Bankrisiko | Bank risk |
-
A Bayesian realized threshold measurement GARCH framework for financial tail risk forecasting
Wang, Chao, (2024)
-
Baek, Seungho, (2015)
-
Habachi, Mohamed, (2020)
- More ...
-
Outlier-robust methods for forecasting realized covariance matrices
Li, Dan, (2024)
-
Reducing the Risk in Tail Risk Forecasting Models
Clements, Adam, (2021)
-
Outlier Robust Methods for Forecasting Realized Covariance Matrices
Li, Dan, (2023)
- More ...