Volatility Spillovers in Electricity Markets: Evidence from the United States

<p>This paper examines the degree of market integration, as observed by measuring volatility spillovers, in selected wholesale electricity spot markets from<br />United States. We choose markets located at interconnected and non-interconnected areas. We use a Multivariate GARCH framework...

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Main Authors: Themistoclis Pantos, Stathis Polyzos, Aggelos Armenatzoglou, Ilias Kampouris
Format: Article
Language:English
Published: EconJournals 2019-06-01
Series:International Journal of Energy Economics and Policy
Online Access:https://www.econjournals.com/index.php/ijeep/article/view/7563
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spelling doaj-d3b05416204f4e12a0abd7ef85dc06232020-11-25T01:22:00ZengEconJournalsInternational Journal of Energy Economics and Policy2146-45532019-06-01941311433893Volatility Spillovers in Electricity Markets: Evidence from the United StatesThemistoclis Pantos0Stathis Polyzos1Aggelos Armenatzoglou2Ilias Kampouris3Zayed UniversityUnited Arab Emirates UniversityUniversity of the AegeanUniversity of the Aegean<p>This paper examines the degree of market integration, as observed by measuring volatility spillovers, in selected wholesale electricity spot markets from<br />United States. We choose markets located at interconnected and non-interconnected areas. We use a Multivariate GARCH framework, which allows<br />us to model time varying correlations and to conclude whether the markets show evidence of interdependency. We estimate the variance-covariance<br />and correlation structure, in order to observe the evolution of interactions among markets, accounting for asymmetric effects. We find evidence of<br />significant correlations between interconnected markets, which are mainly due to electricity transmission, since the observed correlations are above<br />0.5, but our results show that the desired level of integration has not been accomplished yet. Nevertheless, full integration is not an objective target,<br />unless new technologies offer a boost towards that direction. Our results suggest that we should move towards a more integrated market, through<br />legislation reforms and investment in infrastructure, which could increase competition and could lead to capital savings through lower electricity prices.<br />The unique selection of the markets under examination and the 4-variate BEKK model for electricity markets are special characteristics of this paper.</p><p><strong>Keywords</strong>: Energy Markets, Electricity Markets, Market Integration, BEKK, Asymmetric Dynamic Conditional Correlation</p><p><strong>JEL Claasifications:</strong> Q43, Q48, O21, C44</p><p>DOI: <a href="https://doi.org/10.32479/ijeep.7563">https://doi.org/10.32479/ijeep.7563</a></p>https://www.econjournals.com/index.php/ijeep/article/view/7563
collection DOAJ
language English
format Article
sources DOAJ
author Themistoclis Pantos
Stathis Polyzos
Aggelos Armenatzoglou
Ilias Kampouris
spellingShingle Themistoclis Pantos
Stathis Polyzos
Aggelos Armenatzoglou
Ilias Kampouris
Volatility Spillovers in Electricity Markets: Evidence from the United States
International Journal of Energy Economics and Policy
author_facet Themistoclis Pantos
Stathis Polyzos
Aggelos Armenatzoglou
Ilias Kampouris
author_sort Themistoclis Pantos
title Volatility Spillovers in Electricity Markets: Evidence from the United States
title_short Volatility Spillovers in Electricity Markets: Evidence from the United States
title_full Volatility Spillovers in Electricity Markets: Evidence from the United States
title_fullStr Volatility Spillovers in Electricity Markets: Evidence from the United States
title_full_unstemmed Volatility Spillovers in Electricity Markets: Evidence from the United States
title_sort volatility spillovers in electricity markets: evidence from the united states
publisher EconJournals
series International Journal of Energy Economics and Policy
issn 2146-4553
publishDate 2019-06-01
description <p>This paper examines the degree of market integration, as observed by measuring volatility spillovers, in selected wholesale electricity spot markets from<br />United States. We choose markets located at interconnected and non-interconnected areas. We use a Multivariate GARCH framework, which allows<br />us to model time varying correlations and to conclude whether the markets show evidence of interdependency. We estimate the variance-covariance<br />and correlation structure, in order to observe the evolution of interactions among markets, accounting for asymmetric effects. We find evidence of<br />significant correlations between interconnected markets, which are mainly due to electricity transmission, since the observed correlations are above<br />0.5, but our results show that the desired level of integration has not been accomplished yet. Nevertheless, full integration is not an objective target,<br />unless new technologies offer a boost towards that direction. Our results suggest that we should move towards a more integrated market, through<br />legislation reforms and investment in infrastructure, which could increase competition and could lead to capital savings through lower electricity prices.<br />The unique selection of the markets under examination and the 4-variate BEKK model for electricity markets are special characteristics of this paper.</p><p><strong>Keywords</strong>: Energy Markets, Electricity Markets, Market Integration, BEKK, Asymmetric Dynamic Conditional Correlation</p><p><strong>JEL Claasifications:</strong> Q43, Q48, O21, C44</p><p>DOI: <a href="https://doi.org/10.32479/ijeep.7563">https://doi.org/10.32479/ijeep.7563</a></p>
url https://www.econjournals.com/index.php/ijeep/article/view/7563
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AT aggelosarmenatzoglou volatilityspilloversinelectricitymarketsevidencefromtheunitedstates
AT iliaskampouris volatilityspilloversinelectricitymarketsevidencefromtheunitedstates
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