Historical and risk-neutral estimation in a two factors stochastic volatility model for oil markets
Year of publication: |
2015
|
---|---|
Authors: | Fileccia, Gaetano ; Sgarra, Carlo |
Published in: |
International journal of computational economics and econometrics. - Genève [u.a.] : Inderscience Enterprises, ISSN 1757-1170, ZDB-ID 2550146-X. - Vol. 5.2015, 4, p. 451-479
|
Subject: | PMCMC | particle Markov Chain Monte Carlo | Bayesian estimation | commodity markets | energy markets | stochastic volatility | models with jumps | computional economics | computional econometrics | Theorie | Theory | Volatilität | Volatility | Stochastischer Prozess | Stochastic process | Markov-Kette | Markov chain | Monte-Carlo-Simulation | Monte Carlo simulation | Bayes-Statistik | Bayesian inference | Energiemarkt | Energy market | Schätzung | Estimation |
-
Fernandes, Mário Correia, (2024)
-
Lengua Lafosse, Patricia, (2018)
-
Sequential Bayesian analysis for semiparametric stochastic volatility model with applications
Wang, Nianling, (2023)
- More ...
-
A Double Correlated Three Factor Model for a Crude Oil Market
Fileccia, Gaetano, (2015)
-
A self‐exciting modeling framework for forward prices in power markets
Callegaro, Giorgia, (2021)
-
Quadratic hedging for the Bates model
Hubalek, Friedrich, (2007)
- More ...