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  • Search: subject:"Stochastic volatility in mean"
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Year of publication
Subject
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Stochastic process 13 Stochastischer Prozess 13 Volatility 13 Volatilität 13 Theorie 12 Theory 12 VAR model 8 VAR-Modell 8 Bayes-Statistik 7 Bayesian inference 7 Stochastic volatility in mean 7 State space model 6 Zustandsraummodell 6 Stochastic Volatility in Mean 5 VAR 5 Markov chain 4 Markov-Kette 4 Monte Carlo simulation 4 Monte-Carlo-Simulation 4 Riemannian Manifold Hamiltonian Monte Carlo 4 Risikomaß 4 Risk measure 4 error covariance 4 ARCH model 3 ARCH-Modell 3 Bayesian VARs 3 Correlation 3 Forecasting model 3 Hamiltonian Monte Carlo 3 Korrelation 3 Lateinamerika 3 Latin America 3 Prognoseverfahren 3 Uncertainty 3 stochastic volatility in mean 3 Bayesian global vector autoregressive model 2 Börsenkurs 2 Economic forecast 2 Feed-Back Effect 2 Feed-back effect 2
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Online availability
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Free 12 Undetermined 4
Type of publication
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Book / Working Paper 11 Article 5
Type of publication (narrower categories)
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Working Paper 10 Graue Literatur 8 Non-commercial literature 8 Arbeitspapier 7 Article in journal 5 Aufsatz in Zeitschrift 5
Language
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English 16
Author
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Mumtaz, Haroon 5 Abanto-Valle, Carlos A. 4 Garrafa-Aragón, Hernán B. 4 Rodriguez, Gabriel 4 Hou, Chenghan 3 Pfarrhofer, Michael 3 Poon, Aubrey 3 Castro Cepero, Luis M. 2 Cross, Jamie 2 Koop, Gary 2 Cross, Jamie L. 1 Zhu, Beili 1
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Published in...
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CAMA working paper series 2 Documento de trabajo 2 Working Paper 2 Working paper 2 CAMP working paper series 1 Computational economics 1 Economics letters 1 Journal of econometrics 1 Macroeconomic dynamics 1 The quarterly review of economics and finance : journal of the Midwest Economics Association ; journal of the Midwest Finance Association 1 Working Papers in Economics 1 Working papers in economics 1
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Source
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ECONIS (ZBW) 13 EconStor 3
Showing 1 - 10 of 16
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Measuring international uncertainty using global vector autoregressions with drifting parameters
Pfarrhofer, Michael - In: Macroeconomic dynamics 27 (2023) 3, pp. 770-793
Persistent link: https://www.econbiz.de/10014247550
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Approximate Bayesian estimation of stochastic volatility in mean models using hidden Markov models : empirical evidence from emerging and developed markets
Abanto-Valle, Carlos A.; Rodriguez, Gabriel; Castro … - In: Computational economics 64 (2024) 3, pp. 1775-1801
Persistent link: https://www.econbiz.de/10015143955
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Macroeconomic forecasting with large stochastic volatility in mean VARs
Cross, Jamie; Hou, Chenghan; Koop, Gary; Poon, Aubrey - 2021
Persistent link: https://www.econbiz.de/10012628432
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Approximate Bayesian estimation of stochastic volatility in mean models using Hidden Markov Models: empirical evidence from stock Latin American markets
Abanto-Valle, Carlos A.; Rodriguez, Gabriel; Castro … - 2021 - Primera edición
Persistent link: https://www.econbiz.de/10013170523
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Large stochastic volatility in mean VARs
Cross, Jamie; Hou, Chenghan; Koop, Gary; Poon, Aubrey - In: Journal of econometrics 236 (2023) 1, pp. 1-24
Persistent link: https://www.econbiz.de/10014332245
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A generalised stochastic volatility in mean VAR: An updated algorithm
Mumtaz, Haroon - 2020
In this note we present an updated algorithm to estimate the VAR with stochastic volatility proposed in Mumtaz (2018). The model is re-written so that some of the Metropolis Hastings steps are avoided.
Persistent link: https://www.econbiz.de/10012670871
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A generalised stochastic volatility in mean VAR : an updated algorithm
Mumtaz, Haroon - 2020
In this note we present an updated algorithm to estimate the VAR with stochastic volatility proposed in Mumtaz (2018). The model is re-written so that some of the Metropolis Hastings steps are avoided.
Persistent link: https://www.econbiz.de/10012243290
Saved in:
Cover Image
Stochastic volatility in mean : empirical evidence from stock Latin American markets
Abanto-Valle, Carlos A.; Rodriguez, Gabriel; … - 2020
Persistent link: https://www.econbiz.de/10012435606
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Measuring international uncertainty using global vector autoregressions with drifting parameters
Pfarrhofer, Michael - 2019
This paper investigates the time-varying impacts of international macroeconomic uncertainty shocks. We use a global vector autoregressive (GVAR) specification with drifting coefficients and factor stochastic volatility in the errors to model six economies jointly. The measure of uncertainty is...
Persistent link: https://www.econbiz.de/10012271234
Saved in:
Cover Image
Measuring international uncertainty using global vector autoregressions with drifting parameters
Pfarrhofer, Michael - 2019
This paper investigates the time-varying impacts of international macroeconomic uncertainty shocks. We use a global vector autoregressive (GVAR) specification with drifting coefficients and factor stochastic volatility in the errors to model six economies jointly. The measure of uncertainty is...
Persistent link: https://www.econbiz.de/10012052678
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