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  • Search: subject:"Student's t copula"
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Year of publication
Subject
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Student's t copula 4 correlation 3 fractional integration 3 multivariate volatility 3 time-varying dependence 3 ARCH model 1 ARCH-Modell 1 Base Correlation Skew 1 Capital income 1 Correlation 1 Credit Risk 1 Credit Spread 1 Dependent Default 1 Fractional integration 1 Gaussian Copula 1 Kapitaleinkommen 1 Korrelation 1 Loss Distribution 1 Multivariate Analyse 1 Multivariate Verteilung 1 Multivariate analysis 1 Multivariate distribution 1 Multivariate volatility 1 Statistical distribution 1 Statistische Verteilung 1 Student's t Copula 1 Synthetic CDO Calibration 1 Theorie 1 Theory 1 Time series analysis 1 Time-varying dependence 1 Volatility 1 Volatilität 1 Zeitreihenanalyse 1
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Online availability
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Free 5
Type of publication
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Book / Working Paper 4 Other 1
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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Undetermined 3 English 2
Author
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Koopman, Siem Jan 4 Lucas, André 4 Janus, Pawel 3 David A. Dickey 1 Janus, Paweł 1 Jason Osborne 1 Peter Bloomfield 1 Tao Pang 1 Zhang, Min 1
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Institution
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Tinbergen Institute 1 Tinbergen Instituut 1
Published in...
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Tinbergen Institute Discussion Papers 2 Discussion paper / Tinbergen Institute 1 Tinbergen Institute Discussion Paper 1
Source
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RePEc 2 BASE 1 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 5 of 5
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Long Memory Dynamics for Multivariate Dependence under Heavy Tails
Janus, Pawel; Koopman, Siem Jan; Lucas, André - 2011
We develop a new simultaneous time series model for volatility and dependence with long memory (fractionally integrated) dynamics and heavy-tailed densities. Our new multivariate model accounts for typical empirical features in financial time series while being robust to outliers or jumps in the...
Persistent link: https://www.econbiz.de/10010326461
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Long Memory Dynamics for Multivariate Dependence under Heavy Tails
Janus, Pawel; Koopman, Siem Jan; Lucas, André - Tinbergen Instituut - 2011
Accepted by the <Journal of Empirical Finance</I>.<P> We develop a new simultaneous time series model for volatility and dependence with long memory (fractionally integrated) dynamics and heavy-tailed densities. Our new multivariate model accounts for typical empirical features in financial time series while being robust to...</p></journal>
Persistent link: https://www.econbiz.de/10011256962
Saved in:
Cover Image
Long Memory Dynamics for Multivariate Dependence under Heavy Tails
Janus, Pawel; Koopman, Siem Jan; Lucas, André - Tinbergen Institute - 2011
We develop a new simultaneous time series model for volatility and dependence with long memory (fractionally integrated) dynamics and heavy-tailed densities. Our new multivariate model accounts for typical empirical features in financial time series while being robust to outliers or jumps in the...
Persistent link: https://www.econbiz.de/10009386532
Saved in:
Cover Image
Long memory dynamics for multivariate dependence under heavy tails
Janus, Paweł; Koopman, Siem Jan; Lucas, André - 2011
Persistent link: https://www.econbiz.de/10009720703
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Cover Image
Joint Distributions of Time to Default with Application to the Pricing of Credit Derivatives
Zhang, Min - 2008
credit defaults can not be captured by the Gaussian copula. We develop the Student's t copula process to define an … Student's t copula. We also derive several asymptotic approximations to the loss distribution of the Student's t copula. We …'s t copula. We say the Student's t copula works better than the Gaussian copula to describe the dependence of the extreme …
Persistent link: https://www.econbiz.de/10009431293
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