Tail behaviours of multiple-regime threshold AR models with heavy-tailed innovations
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Pan, Jiazhu and He, Yali (2023) Tail behaviours of multiple-regime threshold AR models with heavy-tailed innovations. Studies in Nonlinear Dynamics and Econometrics, 27 (3). pp. 377-395. ISSN 1558-3708 (https://doi.org/10.1515/snde-2020-0071)
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Abstract
This paper studies the tail behaviours of the stationary distribution of multiple-regime threshold AR models with multiple heavy-tailed innovations. It is shown that the marginal tail probability has the same order as that of the innovation with the heaviest tail. Other new results in this paper include the geometric ergodicity and the tail dependence of TAR models with multiple heavy-tailed innovations.
ORCID iDs
Pan, Jiazhu ORCID: https://orcid.org/0000-0001-7346-2052 and He, Yali;-
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Item type: Article ID code: 81261 Dates: DateEvent28 June 2023Published27 June 2022Published Online8 June 2022AcceptedSubjects: Science > Mathematics Department: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 23 Jun 2022 14:17 Last modified: 11 Nov 2024 13:32 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/81261
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