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  • Search: subject:"Non linear state space models"
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Year of publication
Subject
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Non-linear state space models 4 Seasonal interaction 4 Unobserved components 4 Theorie 3 Zustandsraummodell 3 Non Linear State Space Models 2 State space model 2 Theory 2 Bayesian Markov Chain Monte Carlo 1 Business cycle 1 Chain-linking 1 Cointegration 1 Dynamic Factor Models 1 EM algorithm 1 Feed-Back Effect 1 Hamiltonian Monte Carlo 1 Kointegration 1 Konjunktur 1 Lateinamerika 1 Latin America 1 Markov Chain Monte Carlo 1 Markov chain 1 Markov-Kette 1 Monte Carlo simulation 1 Monte-Carlo-Simulation 1 Monthly GDP 1 Nichtlineares Verfahren 1 Non-Linear State Space Models 1 Non-linear State Space Models 1 Non-parametric Variance Measures 1 Nonlinear Smoothing 1 Riemannian Manifold Hamiltonian Monte Carlo 1 Risk Aversion 1 Risk Premium 1 Saisonale Schwankungen 1 Saisonbereinigung 1 Saisonkomponente 1 Seasonal component 1 Seasonal variations 1 Stochastic Volatility in Mean 1
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Online availability
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Free 8
Type of publication
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Book / Working Paper 8
Type of publication (narrower categories)
All
Working Paper 3 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2
Language
All
English 5 Undetermined 3
Author
All
Koopman, Siem Jan 4 Lee, Kai Ming 4 Abanto-Valle, Carlos A. 1 Aktas, Zelal 1 Forbes, Catherine S. 1 Garrafa-Aragón, Hernán B. 1 Grose, Simone 1 Kaya, Neslihan 1 Maneesoonthorn, Worapree 1 Martin, Gael M. 1 Ozlale, Umit 1 Proietti, Tommaso 1 Rodriguez, Gabriel 1
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Institution
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Department of Econometrics and Business Statistics, Monash Business School 1 Tinbergen Institute 1 Tinbergen Instituut 1 Türkiye Cumhuriyet Merkez Bankası 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
All
Tinbergen Institute Discussion Papers 2 Discussion paper / Tinbergen Institute 1 Documento de trabajo 1 MPRA Paper 1 Monash Econometrics and Business Statistics Working Papers 1 Tinbergen Institute Discussion Paper 1 Working Papers / Türkiye Cumhuriyet Merkez Bankası 1
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Source
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RePEc 5 ECONIS (ZBW) 2 EconStor 1
Showing 1 - 8 of 8
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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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Probabilistic Forecasts of Volatility and its Risk Premia
Maneesoonthorn, Worapree; Martin, Gael M.; Forbes, … - Department of Econometrics and Business Statistics, … - 2010
The object of this paper is to produce distributional forecasts of physical volatility and its associated risk premia using a non-Gaussian, non-linear state space approach. Option and spot market information on the unobserved variance process is captured by using dual 'model-free' variance...
Persistent link: https://www.econbiz.de/10008763558
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Seasonality with Trend and Cycle Interactions in Unobserved Components Models
Koopman, Siem Jan; Lee, Kai Ming - 2008
Unobserved components time series models decompose a time series into a trend, a season, a cycle, an irregular disturbance, and possibly other components. These models have been successfully applied to many economic time series. The standard assumption of a linear model, often appropriate after...
Persistent link: https://www.econbiz.de/10010326043
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Estimation of Common Factors under Cross-Sectional and Temporal Aggregation Constraints: Nowcasting Monthly GDP and its Main Components
Proietti, Tommaso - Volkswirtschaftliche Fakultät, … - 2008
The paper estimates a large-scale mixed-frequency dynamic factor model for the euro area, using monthly series along with Gross Domestic Product (GDP) and its main components, obtained from the quarterly national accounts. The latter define broad measures of real economic activity (such as GDP...
Persistent link: https://www.econbiz.de/10005789536
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Seasonality with Trend and Cycle Interactions in Unobserved Components Models
Koopman, Siem Jan; Lee, Kai Ming - Tinbergen Institute - 2008
Unobserved components time series models decompose a time series into a trend, a season, a cycle, an irregular disturbance, and possibly other components. These models have been successfully applied to many economic time series. The standard assumption of a linear model, often appropriate after...
Persistent link: https://www.econbiz.de/10005209532
Saved in:
Cover Image
Seasonality with trend and cycle interactions in unobserved components models
Koopman, Siem Jan; Lee, Kai Ming - 2008
Unobserved components time series models decompose a time series into a trend, a season, a cycle, an irregular disturbance, and possibly other components. These models have been successfully applied to many economic time series. The standard assumption of a linear model, often appropriate after...
Persistent link: https://www.econbiz.de/10011374413
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The Price Puzzle in Emerging Markets : Evidence from the Turkish Economy Using Model Based Risk Premium Derived from Domestic Fundamentals
Aktas, Zelal; Kaya, Neslihan; Ozlale, Umit - Türkiye Cumhuriyet Merkez Bankası - 2005
The recent studies by Blanchard (2004) and Favero and Giavazzi (2004) imply that a tight monetary policy consistent with an inflation-targeting framework in emerging market economies could actually increase the price level due to the lack of fiscal discipline and the associated high risk...
Persistent link: https://www.econbiz.de/10005504820
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Seasonality with Trend and Cycle Interactions in Unobserved Components Models
Koopman, Siem Jan; Lee, Kai Ming - Tinbergen Instituut
This discussion paper resulted in a publication in the <I>Journal of the Royal Statistical Society Series C</I> (2009). Vol. 58, pages 427-448.<I> Unobserved components time series models decompose a time series into a trend, a season, a cycle, an irregular disturbance, and possibly other components....</i></i>
Persistent link: https://www.econbiz.de/10011255581
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