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  • Search: subject:"parameter-driven models"
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Year of publication
Subject
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Importance Sampling 4 Multi-state Duration models 4 Parameter Driven models 4 Simulated Maximum Likelihood 4 Zeitreihenanalyse 4 credit risk 4 generalized autoregressive score model 4 regime switching 4 structural breaks 4 time-varying parameters 4 Theorie 3 Time series analysis 3 observation driven models 3 parameter driven models 3 Credit risk 2 Estimation 2 Estimation theory 2 Kreditrisiko 2 Maximum likelihood estimation 2 Maximum-Likelihood-Schätzung 2 Sampling 2 Schätztheorie 2 Schätzung 2 Statistische Bestandsanalyse 2 Stichprobenerhebung 2 Structural break 2 Strukturbruch 2 Theory 2 Duration analysis 1 Markov chain 1 Markov-Kette 1 Maximum-Likelihood-Methode 1 Simulation 1 Stichprobenverfahren 1 Stochastic process 1 Stochastischer Prozess 1 Volatility 1 Volatilität 1 efficient importance sampling 1 leverage effect 1
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Online availability
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Free 7 Undetermined 2
Type of publication
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Book / Working Paper 7 Article 2
Type of publication (narrower categories)
All
Working Paper 4 Arbeitspapier 2 Article in journal 2 Aufsatz in Zeitschrift 2 Graue Literatur 2 Non-commercial literature 2
Language
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English 6 Undetermined 3
Author
All
Calvori, Francesco 4 Creal, Drew 4 Koopman, Siem Jan 4 Monteiro, André A. 3 Lucas, Andre 2 Lucas, André 2 Bekierman, Jeremias 1 Gribisch, Bastian 1 Monteiro, André Antonio 1
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Institution
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Tinbergen Instituut 2 Tinbergen Institute 1
Published in...
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Tinbergen Institute Discussion Papers 3 Discussion paper / Tinbergen Institute 2 Tinbergen Institute Discussion Paper 2 Journal of financial econometrics : official journal of the Society for Financial Econometrics 1 Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet 1
Source
All
ECONIS (ZBW) 4 RePEc 3 EconStor 2
Showing 1 - 9 of 9
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Testing for parameter instability across different modeling frameworks
Calvori, Francesco; Creal, Drew; Koopman, Siem Jan; … - In: Journal of financial econometrics : official journal of … 15 (2017) 2, pp. 223-246
Persistent link: https://www.econbiz.de/10011987424
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Estimating stochastic volatility models using realized measures
Bekierman, Jeremias; Gribisch, Bastian - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 20 (2016) 3, pp. 279-300
Persistent link: https://www.econbiz.de/10011507527
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Testing for Parameter Instability in Competing Modeling Frameworks
Calvori, Francesco; Creal, Drew; Koopman, Siem Jan; … - 2014
We develop a new parameter stability test against the alternative of observation driven generalized autoregressive score dynamics. The new test generalizes the ARCH-LM test of Engle (1982) to settings beyond time-varying volatility and exploits any autocorrelation in the likelihood scores under...
Persistent link: https://www.econbiz.de/10010377214
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Testing for Parameter Instability in Competing Modeling Frameworks
Calvori, Francesco; Creal, Drew; Koopman, Siem Jan; … - Tinbergen Instituut - 2014
We develop a new parameter stability test against the alternative of observation driven generalized autoregressive score dynamics. The new test generalizes the ARCH-LM test of Engle (1982) to settings beyond time-varying volatility and exploits any autocorrelation in the likelihood scores under...
Persistent link: https://www.econbiz.de/10011255854
Saved in:
Cover Image
Testing for parameter instability in competing modeling frameworks
Calvori, Francesco; Creal, Drew; Koopman, Siem Jan; … - 2014
We develop a new parameter stability test against the alternative of observation driven generalized autoregressive score dynamics. The new test generalizes the ARCH-LM test of Engle (1982) to settings beyond time-varying volatility and exploits any autocorrelation in the likelihood scores under...
Persistent link: https://www.econbiz.de/10010229896
Saved in:
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Parameter Driven Multi-state Duration Models: Simulated vs. Approximate Maximum Likelihood Estimation
Monteiro, André A. - 2008
Likelihood based inference for multi-state latent factor intensity models is hindered by the fact that exact closed-form expressions for the implied data density are not available. This is a common and well-known problem for most parameter driven dynamic econometric models. This paper reviews,...
Persistent link: https://www.econbiz.de/10010325837
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Parameter Driven Multi-state Duration Models: Simulated vs. Approximate Maximum Likelihood Estimation
Monteiro, André A. - Tinbergen Instituut - 2008
Likelihood based inference for multi-state latent factor intensity models is hindered by the fact that exact closed-form expressions for the implied data density are not available. This is a common and well-known problem for most parameter driven dynamic econometric models. This paper reviews,...
Persistent link: https://www.econbiz.de/10011257216
Saved in:
Cover Image
Parameter Driven Multi-state Duration Models: Simulated vs. Approximate Maximum Likelihood Estimation
Monteiro, André A. - Tinbergen Institute - 2008
Likelihood based inference for multi-state latent factor intensity models is hindered by the fact that exact closed-form expressions for the implied data density are not available. This is a common and well-known problem for most parameter driven dynamic econometric models. This paper reviews,...
Persistent link: https://www.econbiz.de/10005137247
Saved in:
Cover Image
Parameter driven multi-state duration models : simulated vs. approximate maximum likelihood estimation
Monteiro, André Antonio - 2008 - This version: February 15, 2008
Likelihood based inference for multi-state latent factor intensity models is hindered by the fact that exact closed-form expressions for the implied data density are not available. This is a common and well-known problem for most parameter driven dynamic econometric models. This paper reviews,...
Persistent link: https://www.econbiz.de/10011374420
Saved in:
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