Precious metals as safe-haven for clean energy stock investment: Evidence from nonparametric Granger causality in distribution test
dc.authorid | Çevik, Emre/0000-0002-2012-9886 | |
dc.authorid | Çevik, Emrah İsmail/0000-0002-8155-1597 | |
dc.authorwosid | erdoğan, fatma/HJY-1150-2023 | |
dc.authorwosid | Çevik, Emre/ABI-4835-2020 | |
dc.authorwosid | Gedikli, Ayfer/AFU-9015-2022 | |
dc.contributor.author | Erdoğan, Seyfettin | |
dc.contributor.author | Gedikli, Ayfer | |
dc.contributor.author | Çevik, Emrah İsmail | |
dc.contributor.author | Erdogan, Fatma | |
dc.contributor.author | Çevik, Emre | |
dc.date.accessioned | 2023-07-26T11:53:50Z | |
dc.date.available | 2023-07-26T11:53:50Z | |
dc.date.issued | 2022 | |
dc.department | DÜ, Akçakoca Bey Siyasal Bilgiler Fakültesi, İktisat Bölümü | en_US |
dc.description.abstract | The study aims to examine the connectedness between clean energy stocks and precious metals prices under the different market episodes. We employ the Granger causality-in-the distribution test proposed by Candelon and Tokpavi (2016) to investigate the presence of a causality relationship between the variables for the whole dis-tribution because the test has superior power even if the sample size is small. WilderHill Clean Energy Index is considered a benchmark for the clean energy stock market and gold, silver, platinum, and palladium prices are used for the precious metals. By using daily data from January 1, 2001, to December 12, 2021, we find that there is a unidirectional causal link running from the clean energy stock returns to the precious metal prices in the center and the left tail of the distribution. On the other hand, there is strong feedback between the variables in the right tail of the distribution. These results show that clean energy stock prices have an edge in affecting precious metal prices and precious metals cannot be used to hedge the downside risk of clean energy stock investments. | en_US |
dc.identifier.doi | 10.1016/j.resourpol.2022.102945 | |
dc.identifier.issn | 0301-4207 | |
dc.identifier.issn | 1873-7641 | |
dc.identifier.scopus | 2-s2.0-85136248378 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.uri | https://doi.org/10.1016/j.resourpol.2022.102945 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12684/12624 | |
dc.identifier.volume | 79 | en_US |
dc.identifier.wos | WOS:000859575300001 | en_US |
dc.identifier.wosquality | Q1 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.institutionauthor | Gedikli, Ayfer | |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Sci Ltd | en_US |
dc.relation.ispartof | Resources Policy | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.snmz | $2023V1Guncelleme$ | en_US |
dc.subject | Clean Energy; Precious Metals; Gold; Causality; Hedging | en_US |
dc.subject | Quantile Dependence; Price Uncertainty; Oil Prices; Impact; Volatility; Markets | en_US |
dc.title | Precious metals as safe-haven for clean energy stock investment: Evidence from nonparametric Granger causality in distribution test | en_US |
dc.type | Article | en_US |
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