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Farrukh Javed
Universitetslektor
![Farrukh Javed . Foto](/sites/ehl.lu.se/files/styles/lu_personal_page_desktop/public/2024-05/FarrukhJaved.jpg.webp?itok=3VDO0DSD)
GARCH-Type models and the performance of information criteria
Författare
Summary, in English
This article discusses the ability of information criteria toward the correct selection of different especially higher-order generalized autoregressive conditional heteroscedasticity (GARCH) processes, based on their probability of correct selection as a measure of performance. Each of the considered GARCH processes is further simulated at different parameter combinations to study the possible effect of different volatility structures on these information criteria. We notice an impact from the volatility structure of time series on the performance of these criteria. Moreover, the influence of sample size, having an impact on the performance of these criteria toward correct selection, is observed.
Avdelning/ar
- Statistiska institutionen
Publiceringsår
2013
Språk
Engelska
Sidor
1917-1933
Publikation/Tidskrift/Serie
Communications in Statistics: Simulation and Computation
Volym
42
Issue
8
Dokumenttyp
Artikel i tidskrift
Förlag
Taylor & Francis, Taylor & Francis
Ämne
- Probability Theory and Statistics
Nyckelord
- GARCH
- Leverage
- Spillover
- Volatility
Aktiv
Published
ISBN/ISSN/Övrigt
- ISSN: 0361-0918