Green bonds and other assets: Evidence from extreme risk transmission.

Muhammad Abubakr Naeem, Thomas Conlon, John Cotter
Author Information
  1. Muhammad Abubakr Naeem: Accounting and Finance Department, United Arab Emirates University, P.O. Box 15551, Al-Ain, United Arab Emirates; South Ural State University, Lenin Prospect 76, Chelyabinsk, 454080, Russian Federation; Smurfit Graduate School of Business, University College Dublin, Ireland. Electronic address: muhammad.naeem@ucd.ie.
  2. Thomas Conlon: Smurfit Graduate School of Business, University College Dublin, Ireland. Electronic address: conlon.thomas@ucd.ie.
  3. John Cotter: Smurfit Graduate School of Business, University College Dublin, Ireland. Electronic address: john.cotter@ucd.ie.

Abstract

Green bonds (GB) are gaining a prominent role in sustainable development because of their ability to fund environment-friendly projects. This study aims to investigate if investors can benefit from the risk diversification properties of including GB with other assets, particularly within the context of the ongoing COVID-19 pandemic. To do so, we utilize a quantile-connectedness approach to examine a set of GB and traditional assets, i.e., commodities, stocks, and bonds, from 2008 to 2020. We find higher total time-varying risk spillovers during extreme high volatility periods than those with average and low volatility. For pairwise risk spillovers, GB offers more diversification opportunities when volatility is very low. Nevertheless, the diversification benefits increase during the COVID period. The strong bidirectional risk spillovers between GB and conventional bonds imply that GB can be considered a good alternative to traditional bonds while benefiting from their diversification potential, particularly with energy and agriculture. Our findings are useful for investors wishing to implement green diversification portfolio strategies in extreme volatility periods and act as an encouragement to policymakers to establish efficient policies to promote green finance.

Keywords

MeSH Term

Agriculture
COVID-19
Financial Management
Humans
Pandemics
SARS-CoV-2

Word Cloud

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