Please use this identifier to cite or link to this item:
https://digital.lib.ueh.edu.vn/handle/UEH/74111
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Salem Adel Ziadat | - |
dc.date.accessioned | 2025-02-20T04:09:48Z | - |
dc.date.available | 2025-02-20T04:09:48Z | - |
dc.date.issued | 2024 | - |
dc.identifier.issn | Walid Mensi | - |
dc.identifier.issn | Sami Al-Kharusi | - |
dc.identifier.issn | Xuan Vinh Vo | - |
dc.identifier.issn | Sang Hoon Kang | - |
dc.identifier.issn | 0140-9883 | - |
dc.identifier.uri | https://digital.lib.ueh.edu.vn/handle/UEH/74111 | - |
dc.description.abstract | Acknowledging the long-term potential of alternative energy sources, this paper examines the quantile frequency connectedness between clean energy markets and international stock markets, with implications related to hedging effectiveness. The main results point out that spillovers run from the US, the EU, the UK, and the Renewable Energy and Clean Technology Index to Japan and the Global Clean Energy Index. Furthermore, while the transmissions are concentrated in the short run during normal (0.5) and bull market (0.95) conditions, they extend to intermediate and long-term amid busting market (0,05 quantile) states, signifying a long-lasting impact that cannot be absorbed in the short run. Notably, clean energy index roles in information transmissions range from a net sender (Renewable Energy and Clean Technology Index), isolated (Green Bond Index), and a net receiver (Global Clean Energy Index). From a multivariant portfolio design perspective, we notice that a substantial weight should be allocated to clean energy assets, WTI, and CSI300 when compared with the rest of the financial markets. Moreover, the low (high) volatility regime yields lower (higher) weights than the ones reported in the mean state, but the results remain largely similar. Bivariant portfolio weights show that GB should have substantial weight when paired with all assets | en |
dc.language.iso | eng | - |
dc.publisher | Elsevier | - |
dc.relation.ispartof | Energy Economics | - |
dc.relation.ispartofseries | Vol. 136 | - |
dc.rights | Elsevier | - |
dc.subject | Clean energy | en |
dc.subject | Stocks | en |
dc.subject | Spillover | en |
dc.subject | Portfolio management | en |
dc.title | Are clean energy markets hedges for stock markets? A tail quantile connectedness regression | en |
dc.type | Journal Article | en |
dc.identifier.doi | https://doi.org/10.1016/j.eneco.2024.107757 | - |
ueh.JournalRanking | Scopus | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | none | - |
item.fulltext | Only abstracts | - |
item.openairetype | Journal Article | - |
Appears in Collections: | INTERNATIONAL PUBLICATIONS |
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