46
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Do Green Bonds Affect Extreme Spillover and Hedging Effects Across Stocks and Commodities?

, , &
Received 14 Dec 2022, Accepted 26 Mar 2024, Published online: 17 Apr 2024
 

Abstract

This study investigates the extreme connectedness network among Green bonds, stocks and commodities and its implications for portfolio diversification during the turbulent periods. To this end, we implement the novel QVAR methodology by Ando, Greenwood-Nimmo, and Shin to study the connectedness at the median, extreme lower, and extreme upper quantiles. The results reveal dynamic spillovers among markets. Interestingly, static spillover effects are stronger for the extreme upper and lower quantiles than for the intermediate quantiles. Commodities are the major net transmitters, whereas Shanghai Stock Exchange green bond is the net receiver of shocks in the system. These results are supported by the findings of portfolio management analyses, which suggest that Green bonds and gold could function as potential diversification assets, serving as safe havens, particularly for the stock and Brent markets. Our study provides valuable insights for investors aiming to optimize their hedging strategies, guiding risk management, and portfolio diversification.

JEL classification:

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1 The start date of the data series is determined by the availability of the Green bond index series.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 572.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.