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Cette analyse emploie le modèle des corrélations conditionnelles dynamiques développées récemment par Engle (2002) pour déterminer le caractère synchrone ou asynchrone des mouvements des taux de croissance de la valeur ajoutée des différents secteurs économiques au Luxembourg. Le...
Persistent link: https://www.econbiz.de/10009276970
Conditional returns distributions generated by a GARCH process, which are important for many problems in market risk … moments of GARCH returns distributions in several ways: we consider a general GARCH model – the GJR specification with a … specific GARCH models largely used in practice are recovered as special cases; we derive the limits of these moments as the …
Persistent link: https://www.econbiz.de/10010838036
We quantify and endogenize the model risk associated with quantile estimates using a maximum entropy distribution (MED) as benchmark. Moment-based MEDs cannot have heavy tails, however generalized beta generated distributions have attractive properties for popular applications of quantiles....
Persistent link: https://www.econbiz.de/10010838057
GARCH processes constitute the major area of time series variance analysis hence the limit of these processes is of … considerable interest for continuous time volatility modelling. The limit of the GARCH(1,1) model is fundamental for limits of … other GARCH processes yet it has been the subject of much debate. The seminal work of Nelson (1990) derived this limit as a …
Persistent link: https://www.econbiz.de/10005178167