Joint extremal behavior of hidden and observable time series with applications to GARCH processes

Verfasser / Beitragende:
[Andree Ehlert, Ulf-Rainer Fiebig, Anja Janßen, Martin Schlather]
Ort, Verlag, Jahr:
2015
Enthalten in:
Extremes, 18/1(2015-03-01), 109-140
Format:
Artikel (online)
ID: 605463743
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024 7 0 |a 10.1007/s10687-014-0206-9  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s10687-014-0206-9 
245 0 0 |a Joint extremal behavior of hidden and observable time series with applications to GARCH processes  |h [Elektronische Daten]  |c [Andree Ehlert, Ulf-Rainer Fiebig, Anja Janßen, Martin Schlather] 
520 3 |a For a class of generalized hidden Markov models ( X t , Y t ) t ∈ ℤ $(X_{t},Y_{t})_{t \in \mathbb {Z}}$ we analyze the limiting behavior of the (suitably scaled) unobservable part ( Y t ) t ∈ ℤ $(Y_{t})_{t\in \mathbb Z}$ under an observable extreme event |X 0|>x, as x → ∞ $x \to \infty $ . We discuss sufficient conditions for the existence of this limit and characterize its special structure. Our approach gives rise to an efficient and flexible algorithm for the Monte Carlo evaluation of extremal characteristics (such as the extremal index) of the observable process. Further, our setup allows to evaluate extremal measures which depend on the extremal behavior of X −1,X −2, , i.e. before X 0. An application to financial asset returns is given by the asymmetric GARCH(1,1) model whose extremal behavior has not been considered before. Our results complement the findings of Segers on the tail chains of single time series (Segers 2007). 
540 |a Springer Science+Business Media New York, 2014 
690 7 |a ARCH processes  |2 nationallicence 
690 7 |a (asymmetric) GARCH processes  |2 nationallicence 
690 7 |a Extremal index  |2 nationallicence 
690 7 |a Joint extremal behavior  |2 nationallicence 
690 7 |a Multivariate regular variation  |2 nationallicence 
690 7 |a Tail chain  |2 nationallicence 
690 7 |a Time series  |2 nationallicence 
700 1 |a Ehlert  |D Andree  |u Institute of Economics, Leuphana University of Lüneburg, Scharnhorststr. 1, 21335, Lüneburg, Germany  |4 aut 
700 1 |a Fiebig  |D Ulf-Rainer  |u Institute for Mathematical Stochastics, Georg-August-University Göttingen, Goldschmidtstr. 7, 37077, Göttingen, Germany  |4 aut 
700 1 |a Janßen  |D Anja  |u Department of Mathematics, SPST, University of Hamburg, Bundesstr. 55, 20146, Hamburg, Germany  |4 aut 
700 1 |a Schlather  |D Martin  |u School of Business Informatics and Mathematics, University of Mannheim, 68131, Mannheim, Germany  |4 aut 
773 0 |t Extremes  |d Springer US; http://www.springer-ny.com  |g 18/1(2015-03-01), 109-140  |x 1386-1999  |q 18:1<109  |1 2015  |2 18  |o 10687 
856 4 0 |u https://doi.org/10.1007/s10687-014-0206-9  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s10687-014-0206-9  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Ehlert  |D Andree  |u Institute of Economics, Leuphana University of Lüneburg, Scharnhorststr. 1, 21335, Lüneburg, Germany  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Fiebig  |D Ulf-Rainer  |u Institute for Mathematical Stochastics, Georg-August-University Göttingen, Goldschmidtstr. 7, 37077, Göttingen, Germany  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Janßen  |D Anja  |u Department of Mathematics, SPST, University of Hamburg, Bundesstr. 55, 20146, Hamburg, Germany  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Schlather  |D Martin  |u School of Business Informatics and Mathematics, University of Mannheim, 68131, Mannheim, Germany  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Extremes  |d Springer US; http://www.springer-ny.com  |g 18/1(2015-03-01), 109-140  |x 1386-1999  |q 18:1<109  |1 2015  |2 18  |o 10687