Abstract

The growing concern surrounding climate change has piqued interest in incorporating green bonds (GBs) into investment portfolios. This article integrates green and non-green assets into one framework, creating a two-way feedback mechanism. Using a modified error variance decomposition and network diagrams, we quantitatively and systematically analyze the connections between the green bond market and various other market information at different time frequencies. Furthermore, we investigated the spillover values in extreme conditions using quantile connectivity methods. Our findings reveal that: (i) GBs exhibit a stronger correlation with traditional fixed-income markets than green assets, (ii) short-term spillover effects are the most pronounced, followed by medium- and long-term effects, (iii) changes in the spillover index appear to stem from significant economic events, indicating heightened market correlation during financial turbulence, and (iv) uncertainty contributes more significantly to systemic spillovers than financial factors, albeit with variations across different frequencies, (v) GB shows its potential as a safe asset in extreme downturns and normal market conditions. These results have significant economic implications for investors, portfolio managers, and policymakers.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call