کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
415441 | 681208 | 2008 | 23 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Modelling nonlinearities and heavy tails via threshold normal mixture GARCH models
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
A new class of flexible threshold normal mixture GARCH models is proposed for the analysis and modelling of the stylized facts appeared in many financial time series. A Bayesian stochastic method is developed and presented for the analysis of the proposed model allowing for automatic model determination and estimation of the thresholds and their unknown number. A computationally feasible algorithm that explores the posterior distribution of the threshold models is designed using Markov chain Monte Carlo stochastic search methods. A simulation study is conducted to assess the performance of the proposed method, and an empirical application of the proposed model is illustrated using real data.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 52, Issue 3, 1 January 2008, Pages 1549–1571
Journal: Computational Statistics & Data Analysis - Volume 52, Issue 3, 1 January 2008, Pages 1549–1571
نویسندگان
D. Giannikis, I.D. Vrontos, P. Dellaportas,