Dynamic Cross-Correlation Between BRICS Markets, Commodities and Green Bonds
| dc.contributor.author | Pereira, Eder | |
| dc.contributor.author | Anjos, Letícia | |
| dc.contributor.author | Ferreira, Paulo | |
| dc.contributor.author | Quintino, Derick | |
| dc.contributor.author | Almeida, Dora | |
| dc.date.accessioned | 2025-07-07T10:09:11Z | |
| dc.date.available | 2025-07-07T10:09:11Z | |
| dc.date.embargo | 2026-06 | |
| dc.date.issued | 2025-06-28 | |
| dc.description.abstract | This paper evaluated the cross-correlation between the BRICS (Brazil, Russia, India, China and South Africa) markets with commodities and green bonds. For this purpose, the detrended moving-average cross-correlation coefficient (?DMCA) was used, based on a sliding windows approach, with data covering a sample before the COVID-19 pandemic, during the COVID-19 pandemic and after Russia invaded Ukraine. The results show a positive cross-correlation between BRICS markets and commodities and green bonds after the COVID-19 pandemic, mainly for long time scales. This result can contribute to financial risk analysis, especially regarding hedge funds. | por |
| dc.identifier.authoremail | eder.johnson@ifma.edu.br | |
| dc.identifier.authoremail | leticiassdosanjos@gmail.com | |
| dc.identifier.authoremail | pferreira@ipportalegre.pt | |
| dc.identifier.authoremail | derickdq@alumni.usp.br | |
| dc.identifier.authoremail | dora.almeida@uevora.pt | |
| dc.identifier.doi | https://doi.org/10.1142/S0219477525500531 | por |
| dc.identifier.uri | https://www.worldscientific.com/doi/10.1142/S0219477525500531 | |
| dc.identifier.uri | http://hdl.handle.net/10174/38943 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.publisher | World Scientific Connect/Fluctuation and Noise Letters | por |
| dc.rights | embargoedAccess | por |
| dc.subject | BRICS | por |
| dc.subject | green bonds | por |
| dc.subject | cross-correlation | por |
| dc.title | Dynamic Cross-Correlation Between BRICS Markets, Commodities and Green Bonds | por |
| dc.type | article | por |
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