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A Markov-Chain Sampling Algorithm for GARCH Models
Nakatsuma, Teruo - In: Studies in Nonlinear Dynamics & Econometrics 3 (1998) 2, pp. 107-117
This paper describes a GAUSS program of a Markov-chain sampling algorithm for GARCH models proposed by Nakatsuma (1998 …). This algorithm allows us to generate Monte Carlo samples of parameters in a GARCH model from their joint posterior … distribution. The samples obtained by this algorithm are used for Bayesian analysis of the GARCH model. As numerical examples …
Persistent link: https://www.econbiz.de/10005751406
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A Markov-Chain Sampling Algorithm for GARCH Models
Nakatsuma, Teruo - In: Studies in Nonlinear Dynamics & Econometrics 3 (1998) 2
This paper describes a GAUSS program of a Markov-chain sampling algorithm for GARCH models proposed by Nakatsuma (1998 …). This algorithm allows us to generate Monte Carlo samples of parameters in a GARCH model from their joint posterior … distribution. The samples obtained by this algorithm are used for Bayesian analysis of the GARCH model. As numerical examples …
Persistent link: https://www.econbiz.de/10014620814
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Modeling time-varying parameters using artificial neural networks : a GARCH illustration
Donfack, Morvan Nongni; Dufays, Arnaud - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 25 (2021) 5, pp. 311-343
Persistent link: https://www.econbiz.de/10012806535
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Regime changes in Bitcoin GARCH volatility dynamics
Ardia, David; Bluteau, Keven; Rüede, Maxime - In: Finance research letters 29 (2019), pp. 266-271
Persistent link: https://www.econbiz.de/10012419095
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Modeling the volatility of returns on commodities: an application and empirical comparison of GARCH and SV models
Fernández Prada Saucedo, Jean Pierre; Rodriguez, Gabriel - 2020
Persistent link: https://www.econbiz.de/10012435636
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Importance sampling from posterior distributions using copula-like approximations
Dellaportas, Petros; Tsionas, Efthymios G. - In: Journal of econometrics 210 (2019) 1, pp. 45-57
Persistent link: https://www.econbiz.de/10012303370
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Markov switching GARCH models for Bayesian hedging on energy futures markets
Billio, Monica; Casarin, Roberto; Osuntuyi, Anthony - 2014
Persistent link: https://www.econbiz.de/10011629426
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Volatility modeling of the JSE all share index and risk estimation using the Bayesian and frequentist approaches
Sigauke, Casto - In: Economics, management and financial markets 11 (2016) 4, pp. 33-48
Persistent link: https://www.econbiz.de/10011868092
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Markov switching GARCH models for Bayesian hedging on energy futures markets
Billio, Monica; Casarin, Roberto; Osuntuyi, Anthony - In: Energy economics 70 (2018), pp. 545-562
Persistent link: https://www.econbiz.de/10011942887
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Marginal likelihood for Markov-switching and change-point GARCH models
Bauwens, Luc; Dufays, Arnaud; Rombouts, Jeroen V. K. - In: Journal of econometrics 178 (2014) 1, pp. 508-522
Persistent link: https://www.econbiz.de/10010256919