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Green bonds forecasting: evidence from pre-crisis, Covid-19 and Russian–Ukrainian crisis frameworks

Souhir Amri Amamou (Faculty of Economic Sciences and Management of Mahdia, University of Monastir, Mahdia, Tunisia) (BESTMOD Laboratory of Research, Higher Institute of Management of Tunis, Ariana, Tunisia)
Mouna Ben Daoud (University of Tunis Higher Institute of Management of Tunis, Tunis, Tunisia)
Saoussen Aguir Bargaoui (Higher Institute of Finance and Taxation of Sousse, University of Sousse, Sousse, Tunisia) (LAboratory of Research in Applied Microeconomy (LARMA), Faculty of Economic Sciences and Management of Tunis, Tunis El Manar University, Tunis, Tunisia)

Journal of Economic Studies

ISSN: 0144-3585

Article publication date: 4 June 2024

51

Abstract

Purpose

Without precedent, green bonds confront, for the first time since their emergence, a twofold crisis context, namely the Covid-19-Russian–Ukrainian crisis period. In this context, this paper aims to investigate the connectedness between the two pioneering bond market classes that are conventional and treasury, with the green bonds market.

Design/methodology/approach

In their forecasting target, authors use a Support Vector Regression model on daily S&P 500 Green, Conventional and Treasury Bond Indexes for a year from 2012 to 2022.

Findings

Authors argue that conventional bonds could better explain and predict green bonds than treasury bonds for the three studied sub-periods (pre-crisis period, Covid-19 crisis and Covid-19-Russian–Ukrainian crisis period). Furthermore, conventional and treasury bonds lose their forecasting power in crisis framework due to enhancements in market connectedness relationships. This effect makes spillovers in bond markets more sensitive to crisis and less predictable. Furthermore, this research paper indicates that even if the indicators of the COVID-19 crisis have stagnated and the markets have adapted to this rather harsh economic framework, the forecast errors persist higher than in the pre-crisis phase due to the Russian–Ukrainian crisis effect not yet addressed by the literature.

Originality/value

This study has several implications for the field of green bond forecasting. It not only illuminates the market participants to the best market forecasters, but it also contributes to the literature by proposing an unadvanced investigation of green bonds forecasting in Crisis periods that could help market participants and market policymakers to anticipate market evolutions and adapt their strategies to period specificities.

Keywords

Citation

Amri Amamou, S., Ben Daoud, M. and Aguir Bargaoui, S. (2024), "Green bonds forecasting: evidence from pre-crisis, Covid-19 and Russian–Ukrainian crisis frameworks", Journal of Economic Studies, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JES-01-2024-0061

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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