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Cited by 452

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Time-frequency comovement among green bonds, stocks, commodities, clean energy, and conventional bonds

Nguyen, Thi Thu Ha, Naeem, Muhammad Abubakr, Balli, Faruk, Balli, Hatice Ozer, Vo, Xuan Vinh·2021·Finance Research Letters

Abstract

Abstract The paper examines the inter-relationship between green bonds and other asset markets, including stocks, commodities, clean energy, and conventional bonds over 11 years from 2008 to 2019. The dynamic features of correlation across asset pairs over time and in different frequencies are assessed through the rolling window wavelet correlation approach. We find strong evidence that most correlation emerged and reached a peak in the aftermath of GFC 2007-2009. While comovement among stocks, commodities, and clean energy is found relatively high, the diversification benefit of green bonds is significantly revealed due to its low or negative correlation with stocks and commodities.

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Metadata

Authors
Nguyen, T. T. H., Naeem, M. A., Balli, F., Balli, H. O., & Vo, X. V.
Venue
Finance Research Letters
Publisher
Elsevier BV
Published
2021-05
Volume
40
Pages
101739
ISSN
1544-6123 (ISSN-L)
OpenAlex
W3081172876
Cited by
452
References
22
FWCI
55.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Time-frequency comovement among green bonds, stocks, commodities, clean energy, and conventional bonds. https://app.cochat.ai/papers/10.1016/j.frl.2020.101739
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Nguyen, T. T. H., Naeem, M. A., Balli, F., Balli, H. O., & Vo, X. V. (2021). Time-frequency comovement among green bonds, stocks, commodities, clean energy, and conventional bonds. Finance Research Letters. https://doi.org/10.1016/j.frl.2020.101739

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.