Sequential gibbs particle filter algorithm with applications to stochastic volatility and jumps estimation
| Year of publication: |
2019
|
|---|---|
| Authors: | Witzany, Jiří ; Fičura, Milan |
| Published in: |
Finance a úvěr. - Praha : Datakonekt, ISSN 0015-1920, ZDB-ID 860318-2. - Vol. 69.2019, 5, p. 463-488
|
| Subject: | Bayesian methods | MCMC | Particle filters | stochastic volatility | jumps | Stochastischer Prozess | Stochastic process | Volatilität | Volatility | Monte-Carlo-Simulation | Monte Carlo simulation | Schätztheorie | Estimation theory | Markov-Kette | Markov chain | Bayes-Statistik | Bayesian inference | Zeitreihenanalyse | Time series analysis | Algorithmus | Algorithm | Zustandsraummodell | State space model |
-
Phillip, Andrew, (2018)
-
Multivariate stochastic volatility with co-heteroscedasticity
Chan, Joshua, (2018)
-
Multivariate stochastic volatility with co-heteroscedasticity
Chan, Joshua, (2025)
- More ...
-
Use of adapted particle filters in SVJD models
Fičura, Milan, (2018)
-
Estimating stochastic volatility and jumps using high-frequency data and Bayesian methods
Fičura, Milan, (2016)
-
Machine learning applications for the valuation of options on non-liquid option markets
Witzany, Jiří, (2024)
- More ...