Randomised Pseudolikelihood Ratio Change Point Estimator in Garch Models

In this paper, a randomised pseudolikelihood ratio change point estimator for GARCH model is presented. Derivation of a randomised change point estimator for the GARCH model and its consistency are given. Simulation results that support the validity of the estimator are also presented. It was observ...

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Main Authors: George Awiakye-Marfo, Joseph Mung’atu, Patrick O. Weke
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2020/6671515
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author George Awiakye-Marfo
Joseph Mung’atu
Patrick O. Weke
author_facet George Awiakye-Marfo
Joseph Mung’atu
Patrick O. Weke
author_sort George Awiakye-Marfo
collection DOAJ
description In this paper, a randomised pseudolikelihood ratio change point estimator for GARCH model is presented. Derivation of a randomised change point estimator for the GARCH model and its consistency are given. Simulation results that support the validity of the estimator are also presented. It was observed that the randomised estimator outperforms the ordinary CUSUM of squares test, and it is optimal with large variance change ratios.
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institution Kabale University
issn 2314-4629
2314-4785
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publishDate 2020-01-01
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series Journal of Mathematics
spelling doaj-art-4e2dbcb061bf4930aa1946134941a0572025-02-03T01:25:46ZengWileyJournal of Mathematics2314-46292314-47852020-01-01202010.1155/2020/66715156671515Randomised Pseudolikelihood Ratio Change Point Estimator in Garch ModelsGeorge Awiakye-Marfo0Joseph Mung’atu1Patrick O. Weke2Department of Mathematics and Statistics, Pan African University, Institute of Science, Technology and Innovation, P.O. Box 62000 00200, Nairobi, KenyaDepartment of Statistics and Actuarial Science, JKUAT, Nairobi, KenyaSchool of Mathematics, University of Nairobi, Nairobi, KenyaIn this paper, a randomised pseudolikelihood ratio change point estimator for GARCH model is presented. Derivation of a randomised change point estimator for the GARCH model and its consistency are given. Simulation results that support the validity of the estimator are also presented. It was observed that the randomised estimator outperforms the ordinary CUSUM of squares test, and it is optimal with large variance change ratios.http://dx.doi.org/10.1155/2020/6671515
spellingShingle George Awiakye-Marfo
Joseph Mung’atu
Patrick O. Weke
Randomised Pseudolikelihood Ratio Change Point Estimator in Garch Models
Journal of Mathematics
title Randomised Pseudolikelihood Ratio Change Point Estimator in Garch Models
title_full Randomised Pseudolikelihood Ratio Change Point Estimator in Garch Models
title_fullStr Randomised Pseudolikelihood Ratio Change Point Estimator in Garch Models
title_full_unstemmed Randomised Pseudolikelihood Ratio Change Point Estimator in Garch Models
title_short Randomised Pseudolikelihood Ratio Change Point Estimator in Garch Models
title_sort randomised pseudolikelihood ratio change point estimator in garch models
url http://dx.doi.org/10.1155/2020/6671515
work_keys_str_mv AT georgeawiakyemarfo randomisedpseudolikelihoodratiochangepointestimatoringarchmodels
AT josephmungatu randomisedpseudolikelihoodratiochangepointestimatoringarchmodels
AT patrickoweke randomisedpseudolikelihoodratiochangepointestimatoringarchmodels