Dynamic Cross-Correlation Between BRICS Markets, Commodities and Green Bonds

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 ([Formula: see text] 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.

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Publication Details

Journal
Fluctuation and Noise Letters
Published
2025-05-02
DOI
https://doi.org/10.1142/s0219477525500531
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
0.00
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article

Dynamic Cross-Correlation Between BRICS Markets, Commodities and Green Bonds

Derick Quintino, Paulo Ferreira, Éder Johnson de Area Leão Pereira, Dora Almeida et al.
Fluctuation and Noise Letters
Market Dynamics and Volatility
article

Dynamic Cross-Correlation Between BRICS Markets, Commodities and Green Bonds

Derick Quintino, Paulo Ferreira, Éder Johnson de Area Leão Pereira, Dora Almeida, Letícia S. Anjos
article en

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 ([Formula: see text] 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.

Fluctuation and Noise LettersVol. 24(06)
Universidade Federal de Lavras (BR), University of Évora (PT), Instituto Federal do Maranhão (BR), Universidade Politécnica de Portalegre (PT), Universidade Federal do Maranhão (BR)
Openalex Percentile: Top 86%
Market Dynamics and Volatility
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