Academic Journal

Stationary threshold vector autoregressive models

التفاصيل البيبلوغرافية
العنوان: Stationary threshold vector autoregressive models
المؤلفون: Grynkiv, Galyna, Stentoft, Lars
بيانات النشر: MDPI
سنة النشر: 2018
المجموعة: EconStor (German National Library of Economics, ZBW)
مصطلحات موضوعية: ddc:330, C1, C3, C5, G1, asset price bubbles, explosive regimes, multivariate nonlinear time series, steady state distributions, TVAR models
الوصف: This paper examines the steady state properties of the Threshold Vector Autoregressive model. Assuming that the trigger variable is exogenous and the regime process follows a Bernoulli distribution, necessary and sufficient conditions for the existence of stationary distribution are derived. A situation related to so-called 'locally explosive models', where the stationary distribution exists though the model is explosive in one regime, is analysed. Simulations show that locally explosive models can generate some of the key properties of financial and economic data. They also show that assessing the stationarity of threshold models based on simulations might well lead to wrong conclusions.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 1911-8074
Relation: gbv-ppn:1030120439; Journal: Journal of Risk and Financial Management; Volume: 11; Year: 2018; Issue: 3; Pages: 1-23; Basel: MDPI; http://hdl.handle.net/10419/238884
DOI: 10.3390/jrfm11030045
الاتاحة: http://hdl.handle.net/10419/238884
https://doi.org/10.3390/jrfm11030045
Rights: https://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.78A05D8B
قاعدة البيانات: BASE
الوصف
تدمد:19118074
DOI:10.3390/jrfm11030045