Estimation of state-space models with endogenous Markov regime-switching parameters
Year of publication: |
2014
|
---|---|
Authors: | Kang, Kyu Ho |
Published in: |
The econometrics journal. - Oxford : Oxford University Press, ISSN 1368-4221, ZDB-ID 1412265-0. - Vol. 17.2014, 1, p. 56-82
|
Subject: | Bayesian Markov chain Monte Carlo estimation | Dynamic Nelson–Siegel model | Marginal likelihood | Particle filter | Predictive accuracy | Markov-Kette | Markov chain | Monte-Carlo-Simulation | Monte Carlo simulation | Bayes-Statistik | Bayesian inference | Schätzung | Estimation | Schätztheorie | Estimation theory | Zustandsraummodell | State space model | Prognoseverfahren | Forecasting model | Zeitreihenanalyse | Time series analysis |
-
Multivariate stochastic volatility with co-heteroscedasticity
Chan, Joshua, (2018)
-
Multivariate stochastic volatility with co-heteroscedasticity
Chan, Joshua, (2020)
-
Multivariate stochastic volatility with co-heteroscedasticity
Chan, Joshua, (2018)
- More ...
-
Change-Points in Affine Arbitrage-Free Term Structure Models
Chib, Siddhartha, (2013)
-
Kang, Kyu Ho, (2012)
-
Volatility spillovers in Korean financial markets
Yoon, Ok Ja, (2004)
- More ...