Use of tempered stable distributions in GARCH(1, 1) models
Use of classical and modified tempered stable distributions for GARCH models is considered in the paper. Such models are applied for the analysis of financial and economic time series, which have several special properties: volatility clustering, heavy tails and asymmetry of residuals distributions....
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Belarusian State University
2018-05-01
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Online Access: | https://journals.bsu.by/index.php/mathematics/article/view/885 |
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doaj-5836583ca2ff4a60b23f189c5dd9a48c2020-11-25T02:54:16ZbelBelarusian State University Журнал Белорусского государственного университета: Математика, информатика 2520-65082617-39562018-05-0114858885Use of tempered stable distributions in GARCH(1, 1) modelsUladzimir S. Tserakh0Belarusian State University, Niezaliežnasci Avenue, 4, 220030, Minsk, BelarusUse of classical and modified tempered stable distributions for GARCH models is considered in the paper. Such models are applied for the analysis of financial and economic time series, which have several special properties: volatility clustering, heavy tails and asymmetry of residuals distributions. Comparison of the properties of stable and tempered stable distributions is presented; methodologies for constructing models and subsequent estimation of parameters using the maximum likelihood method are described. An experimental based on model data comparative analysis of the accuracy of models parameters estimates for different residuals distributions was held, and it confirms the operability of the used methods. An example of building models on real data is considered.https://journals.bsu.by/index.php/mathematics/article/view/885garch modelstable distributiontempered stable distributionmaximum likelihood method |
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DOAJ |
language |
Belarusian |
format |
Article |
sources |
DOAJ |
author |
Uladzimir S. Tserakh |
spellingShingle |
Uladzimir S. Tserakh Use of tempered stable distributions in GARCH(1, 1) models Журнал Белорусского государственного университета: Математика, информатика garch model stable distribution tempered stable distribution maximum likelihood method |
author_facet |
Uladzimir S. Tserakh |
author_sort |
Uladzimir S. Tserakh |
title |
Use of tempered stable distributions in GARCH(1, 1) models |
title_short |
Use of tempered stable distributions in GARCH(1, 1) models |
title_full |
Use of tempered stable distributions in GARCH(1, 1) models |
title_fullStr |
Use of tempered stable distributions in GARCH(1, 1) models |
title_full_unstemmed |
Use of tempered stable distributions in GARCH(1, 1) models |
title_sort |
use of tempered stable distributions in garch(1, 1) models |
publisher |
Belarusian State University |
series |
Журнал Белорусского государственного университета: Математика, информатика |
issn |
2520-6508 2617-3956 |
publishDate |
2018-05-01 |
description |
Use of classical and modified tempered stable distributions for GARCH models is considered in the paper. Such models are applied for the analysis of financial and economic time series, which have several special properties: volatility clustering, heavy tails and asymmetry of residuals distributions. Comparison of the properties of stable and tempered stable distributions is presented; methodologies for constructing models and subsequent estimation of parameters using the maximum likelihood method are described. An experimental based on model data comparative analysis of the accuracy of models parameters estimates for different residuals distributions was held, and it confirms the operability of the used methods. An example of building models on real data is considered. |
topic |
garch model stable distribution tempered stable distribution maximum likelihood method |
url |
https://journals.bsu.by/index.php/mathematics/article/view/885 |
work_keys_str_mv |
AT uladzimirstserakh useoftemperedstabledistributionsingarch11models |
_version_ |
1724722356643954688 |