Modeling extreme events : time-varying extreme tail shape
Year of publication: |
2024
|
---|---|
Authors: | D'Innocenzo, Enzo ; Lucas, André ; Schwaab, Bernd ; Zhang, Xin |
Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Abingdon : Taylor & Francis, ISSN 1537-2707, ZDB-ID 2043744-4. - Vol. 42.2024, 3, p. 903-917
|
Subject: | Dynamic tail risk | Extreme value theory | Observation-driven models | Securities Markets Programme (SMP) | Stock return tails | Ausreißer | Outliers | Statistische Verteilung | Statistical distribution | Risikomaß | Risk measure | Kapitaleinkommen | Capital income | Börsenkurs | Share price | Theorie | Theory | Wahrscheinlichkeitsrechnung | Probability theory | ARCH-Modell | ARCH model |
-
Modeling extreme events : time-varying extreme tail shape
Schwaab, Bernd, (2021)
-
Makatjane, Katleho, (2021)
-
Modeling extreme events : timevarying extreme tail shape
Schwaab, Bernd, (2020)
- More ...
-
D'Innocenzo, Enzo, (2025)
-
D'Innocenzo, Enzo, (2024)
-
Dynamic partial correlation models
D'Innocenzo, Enzo, (2022)
- More ...