Economic scenario generator and parameter uncertainty : a bayesian approach
Year of publication: |
2019
|
---|---|
Authors: | Bégin, Jean-François |
Published in: |
Astin bulletin : the journal of the International Actuarial Association. - Cambridge : Cambridge University Press, ISSN 0515-0361, ZDB-ID 419201-1. - Vol. 49.2019, 2, p. 335-372
|
Subject: | Parameter uncertainty | economic scenario generator | Bayesian inference | Markov Chain Monte Carlo | risk | Bayes-Statistik | Theorie | Theory | Markov-Kette | Markov chain | Risiko | Risk | Monte-Carlo-Simulation | Monte Carlo simulation | Prognoseverfahren | Forecasting model |
-
A Bayesian realized threshold measurement GARCH framework for financial tail risk forecasting
Wang, Chao, (2024)
-
Constructing Bayesian tangency portfolios under short-selling restrictions
Bodnar, Olha, (2024)
-
Probability models and robust policy rules
Levine, Paul, (2012)
- More ...
-
A Discrete-Time Hedging Framework with Multiple Factors and Fat Tails : On What Matters
Augustyniak, Maciej, (2021)
-
Price Bias and Common Practice in Option Pricing
Bégin, Jean-François, (2018)
-
Leveraging Prices from Credit and Equity Option Markets for Portfolio Credit Risk Management
Bégin, Jean-François, (2022)
- More ...