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Cited by 348

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Network connectedness of green bonds and asset classes

Reboredo, Juan C., Ugolini, Andrea, Aiube, Fernando Antonio Lucena·2020·Energy Economics

Abstract

We identify network connectedness between green bonds and different asset classes over different investment horizons in the EU and US asset markets. We first focus on dynamic correlations between green bond and asset class price changes in different time scales on the basis of wavelet coherence. We then identify network connectedness by decomposing time series into different frequency components, in each of which we evaluate connectedness on the basis of the error variance decomposition of a multivariate vector autoregressive model. Our empirical evidence reveals strong connectedness between green bonds and treasury and corporate bonds in the short and long run and in both the EU and the USA, with green bonds receiving sizeable spillovers from treasury and corporate bond prices and transmitting negligible effects. Likewise, we find that green bonds are weakly connected with high-yield corporate bond, stock and energy assets over different time scales. These findings have implications for green bond investors regarding portfolio design and hedging decisions, and for the channelling of financial flows to economic activities that are consistent with a decarbonized economy.

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Metadata

Authors
Reboredo, J. C., Ugolini, A., & Aiube, F. A. L.
Venue
Energy Economics
Publisher
Elsevier BV
Published
2020-02
Volume
86
Pages
104629
ISSN
0140-9883 (ISSN-L)
OpenAlex
W2999869952
Cited by
348
References
30
FWCI
45.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Network connectedness of green bonds and asset classes. https://app.cochat.ai/papers/10.1016/j.eneco.2019.104629
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Reboredo, J. C., Ugolini, A., & Aiube, F. A. L. (2020). Network connectedness of green bonds and asset classes. Energy Economics. https://doi.org/10.1016/j.eneco.2019.104629

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