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Computational Statistics & Data Analysis
Article . 2009 . Peer-reviewed
License: Elsevier TDM
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Article . 2009
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https://dx.doi.org/10.5167/uzh...
Other literature type . 2009
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Data sources: DBLP
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Research . 2008
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Asymmetric multivariate normal mixture GARCH

Authors: Markus Haas; Stefan Mittnik; Marc S. Paolella;

Asymmetric multivariate normal mixture GARCH

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Countries
Germany, Switzerland
Keywords

Applications of statistics to actuarial sciences and financial mathematics, 330, ARCH-Modell, 10003 Department of Finance, Conditional Volatility, Finite Normal Mixtures, C51, Kapitalertrag, 2604 Applied Mathematics, Value at Risk, G10, Multivariate Analyse, G11, 2613 Statistics and Probability, Conditional Volatility,Finite Normal Mixtures,Multivariate GARCH,Leverage Effect, C32, Leverage Effect, USA, Statistical methods; risk measures, ddc:330, Börsenkurs, Volatilität, 330 Economics, GARCH-Prozess, Time series, auto-correlation, regression, etc. in statistics (GARCH), Multivariate GARCH, Computational methods for problems pertaining to statistics, 2605 Computational Mathematics, Theorie, 1703 Computational Theory and Mathematics, Schätzung, ddc: ddc:330, jel: jel:C51, jel: jel:C32, jel: jel:G10, jel: jel:G11

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Top 10%
Top 10%
Top 10%
Green
bronze