Dynamics of Connectedness in Clean Energy Stocks.
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| Title: | Dynamics of Connectedness in Clean Energy Stocks. |
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| Authors: | Fuentes, Fernanda1 (AUTHOR) fefuentes@utalca.cl, Herrera, Rodrigo2 (AUTHOR) rodrigo.herrera@utalca.cl |
| Source: | Energies (19961073). Jul2020, Vol. 13 Issue 14, p3705. 1p. 4 Charts, 5 Graphs. |
| Subject Terms: | *Mathematical connectedness, *Gold markets, *Portfolio diversification, *Stock exchanges, *Commodity exchanges |
| Abstract: | This paper examines the dynamics of connectedness among the realized volatility indices of 16 clean energy stocks belonging to the SPGCE and the implied volatility indices of two important stock markets—the S&P 500 and the STOXX50—and two commodities markets—the crude oil and gold markets. The empirical results show a unidirectional connectedness from the implied volatility indices to the clean energy stocks. Our analysis further reveals similar volatility connectedness behaviors among companies in the same energy production subsector. However, there exists heterogeneous behavior between different energy production subsectors over time. Further, we identify pairwise directional connectedness clusters among related companies, indicating that there are few possibilities for portfolio diversification within the energy production subsectors. Finally, through an impulse–response analysis, we confirm that the expectation of future market volatility of the S&P 500 index and the gold price plays a leading role in volatility connectedness with clean energy stocks. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 144754228 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Dynamics of Connectedness in Clean Energy Stocks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Fuentes%2C+Fernanda%22">Fuentes, Fernanda</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> fefuentes@utalca.cl</i><br /><searchLink fieldCode="AR" term="%22Herrera%2C+Rodrigo%22">Herrera, Rodrigo</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> rodrigo.herrera@utalca.cl</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jul2020, Vol. 13 Issue 14, p3705. 1p. 4 Charts, 5 Graphs. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Mathematical+connectedness%22">Mathematical connectedness</searchLink><br />*<searchLink fieldCode="DE" term="%22Gold+markets%22">Gold markets</searchLink><br />*<searchLink fieldCode="DE" term="%22Portfolio+diversification%22">Portfolio diversification</searchLink><br />*<searchLink fieldCode="DE" term="%22Stock+exchanges%22">Stock exchanges</searchLink><br />*<searchLink fieldCode="DE" term="%22Commodity+exchanges%22">Commodity exchanges</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper examines the dynamics of connectedness among the realized volatility indices of 16 clean energy stocks belonging to the SPGCE and the implied volatility indices of two important stock markets—the S&P 500 and the STOXX50—and two commodities markets—the crude oil and gold markets. The empirical results show a unidirectional connectedness from the implied volatility indices to the clean energy stocks. Our analysis further reveals similar volatility connectedness behaviors among companies in the same energy production subsector. However, there exists heterogeneous behavior between different energy production subsectors over time. Further, we identify pairwise directional connectedness clusters among related companies, indicating that there are few possibilities for portfolio diversification within the energy production subsectors. Finally, through an impulse–response analysis, we confirm that the expectation of future market volatility of the S&P 500 index and the gold price plays a leading role in volatility connectedness with clean energy stocks. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=144754228 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en13143705 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: 3705 Subjects: – SubjectFull: Mathematical connectedness Type: general – SubjectFull: Gold markets Type: general – SubjectFull: Portfolio diversification Type: general – SubjectFull: Stock exchanges Type: general – SubjectFull: Commodity exchanges Type: general Titles: – TitleFull: Dynamics of Connectedness in Clean Energy Stocks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fuentes, Fernanda – PersonEntity: Name: NameFull: Herrera, Rodrigo IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 07 Text: Jul2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 13 – Type: issue Value: 14 Titles: – TitleFull: Energies (19961073) Type: main |
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