Applications of Long-Memory and Structure Breaks for Carbon Indexes

This paper aims to investigatethe long-memory properties of four carbon indexes by utilizing the autoregressive frictionally integrated moving average–fractionally integrated general autoregressive conditional heteroskedasticity models. First, this study discovered a significant long-memory effect...

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Main Authors: Do Thi Van Trang, Jo-Hui Chen
Format: Article
Language:English
Published: EconJournals 2023-05-01
Series:International Journal of Energy Economics and Policy
Subjects:
Online Access:https://econjournals.com/index.php/ijeep/article/view/14289
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author Do Thi Van Trang
Jo-Hui Chen
author_facet Do Thi Van Trang
Jo-Hui Chen
author_sort Do Thi Van Trang
collection DOAJ
description This paper aims to investigatethe long-memory properties of four carbon indexes by utilizing the autoregressive frictionally integrated moving average–fractionally integrated general autoregressive conditional heteroskedasticity models. First, this study discovered a significant long-memory effect for two carbon indexes such as CCX and JOI, whereas others like CER and EUA possess intermediate memory in the returns. Second, the multiple structure breaks in the four carbon indexes were examined using the iterated cumulative sum of squares algorithm. Evidence shows that the sudden shifts are mainly attributed to macroeconomic factors, energy dynamics, and political policies.
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spelling doaj.art-fac65c756a4a458f8d88da269a84d3c72023-05-17T15:36:06ZengEconJournalsInternational Journal of Energy Economics and Policy2146-45532023-05-0113310.32479/ijeep.14289Applications of Long-Memory and Structure Breaks for Carbon IndexesDo Thi Van Trang0Jo-Hui Chen1Postgraduate Faculty, Banking Academy, Hanoi, VietnamDepartment of Finance, Chung Yuan Christian University, Chung-Li, Taiwan This paper aims to investigatethe long-memory properties of four carbon indexes by utilizing the autoregressive frictionally integrated moving average–fractionally integrated general autoregressive conditional heteroskedasticity models. First, this study discovered a significant long-memory effect for two carbon indexes such as CCX and JOI, whereas others like CER and EUA possess intermediate memory in the returns. Second, the multiple structure breaks in the four carbon indexes were examined using the iterated cumulative sum of squares algorithm. Evidence shows that the sudden shifts are mainly attributed to macroeconomic factors, energy dynamics, and political policies. https://econjournals.com/index.php/ijeep/article/view/14289Carbon index, ARFIMA-FIGARCH models, Structure break, ICSS algorithm
spellingShingle Do Thi Van Trang
Jo-Hui Chen
Applications of Long-Memory and Structure Breaks for Carbon Indexes
International Journal of Energy Economics and Policy
Carbon index, ARFIMA-FIGARCH models, Structure break, ICSS algorithm
title Applications of Long-Memory and Structure Breaks for Carbon Indexes
title_full Applications of Long-Memory and Structure Breaks for Carbon Indexes
title_fullStr Applications of Long-Memory and Structure Breaks for Carbon Indexes
title_full_unstemmed Applications of Long-Memory and Structure Breaks for Carbon Indexes
title_short Applications of Long-Memory and Structure Breaks for Carbon Indexes
title_sort applications of long memory and structure breaks for carbon indexes
topic Carbon index, ARFIMA-FIGARCH models, Structure break, ICSS algorithm
url https://econjournals.com/index.php/ijeep/article/view/14289
work_keys_str_mv AT dothivantrang applicationsoflongmemoryandstructurebreaksforcarbonindexes
AT johuichen applicationsoflongmemoryandstructurebreaksforcarbonindexes