Volatility spillovers across sectors and their magnitude: A sector-based analysis for Australia.

While spillover across equity markets has been extensively investigated, volatility spillover across sectors has largely been under-examined in the current literature. This paper estimates the sectoral volatility using the ARMA-GARCH model and its spillover across Australian sectors on the VAR frame...

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Main Author: Duc Hong Vo
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0286528
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author Duc Hong Vo
author_facet Duc Hong Vo
author_sort Duc Hong Vo
collection DOAJ
description While spillover across equity markets has been extensively investigated, volatility spillover across sectors has largely been under-examined in the current literature. This paper estimates the sectoral volatility using the ARMA-GARCH model and its spillover across Australian sectors on the VAR framework during the 2010-2021 period. We then identify breakpoints in market volatility during the Covid-19 pandemic using a wavelet methodology. We find that volatility spillover across Australian sectors is very significant at 60 per cent from 2010 to 2019, reaching 90 per cent during the Covid-19 pandemic in 2020. The spillover then reverts to its pre-pandemic level in 2021. Consumer Staples and Industrials are the significant risk transmitters, whereas Financials and Real estates are the most significant risk absorbers. Our findings also indicate that Real Estate, Health Care, and Financials record the most significant increase in volatility of more than 300 per cent. Policy implications regarding risk management across Australian sectors have emerged, particularly during extreme events such as the pandemic.
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spelling doaj.art-d6771ecf995d47be91b3eab01c5ebf572023-06-07T05:32:02ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01186e028652810.1371/journal.pone.0286528Volatility spillovers across sectors and their magnitude: A sector-based analysis for Australia.Duc Hong VoWhile spillover across equity markets has been extensively investigated, volatility spillover across sectors has largely been under-examined in the current literature. This paper estimates the sectoral volatility using the ARMA-GARCH model and its spillover across Australian sectors on the VAR framework during the 2010-2021 period. We then identify breakpoints in market volatility during the Covid-19 pandemic using a wavelet methodology. We find that volatility spillover across Australian sectors is very significant at 60 per cent from 2010 to 2019, reaching 90 per cent during the Covid-19 pandemic in 2020. The spillover then reverts to its pre-pandemic level in 2021. Consumer Staples and Industrials are the significant risk transmitters, whereas Financials and Real estates are the most significant risk absorbers. Our findings also indicate that Real Estate, Health Care, and Financials record the most significant increase in volatility of more than 300 per cent. Policy implications regarding risk management across Australian sectors have emerged, particularly during extreme events such as the pandemic.https://doi.org/10.1371/journal.pone.0286528
spellingShingle Duc Hong Vo
Volatility spillovers across sectors and their magnitude: A sector-based analysis for Australia.
PLoS ONE
title Volatility spillovers across sectors and their magnitude: A sector-based analysis for Australia.
title_full Volatility spillovers across sectors and their magnitude: A sector-based analysis for Australia.
title_fullStr Volatility spillovers across sectors and their magnitude: A sector-based analysis for Australia.
title_full_unstemmed Volatility spillovers across sectors and their magnitude: A sector-based analysis for Australia.
title_short Volatility spillovers across sectors and their magnitude: A sector-based analysis for Australia.
title_sort volatility spillovers across sectors and their magnitude a sector based analysis for australia
url https://doi.org/10.1371/journal.pone.0286528
work_keys_str_mv AT duchongvo volatilityspilloversacrosssectorsandtheirmagnitudeasectorbasedanalysisforaustralia