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Return Connectedness Among Selected Asset Classes and Green Bonds

  • 2025
  • OriginalPaper
  • Chapter
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Abstract

This study delves into the dynamic relationship between green bonds and various asset classes, focusing on the periods before and after the COVID-19 pandemic. It examines how green bonds, which finance environmentally beneficial projects, interact with traditional and non-traditional bonds, including high-yield and ABS bonds. The research employs a time-varying parameter vector auto-regression (TVP-VAR) model to analyze daily data from January 2015 to October 2023, providing insights into the interconnectedness of these asset classes. The study introduces a novel portfolio construction method, the 'minimum connectedness' portfolio (MCON), and compares it with traditional approaches like Minimum Variance (MV) and Minimum Correlation Portfolios (MCOR). The findings reveal that green bonds' behavior significantly differs pre- and post-COVID, with tighter monetary policies increasing the connectedness among asset classes. The study concludes that while green bonds do not necessarily enhance portfolio performance, their role in diversified portfolios is crucial for understanding risk transmission dynamics. The research underscores the importance of considering different portfolio construction techniques when incorporating green bonds into investment strategies, highlighting their potential benefits and challenges.
I thank Murad Harasheh for his deep and interesting observations. I also thank all the participants to the Second Edition Yunus Social Business Center Conference in Sustainable and Socially Responsible Finance, 2-4 Nov. 2023.

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Title
Return Connectedness Among Selected Asset Classes and Green Bonds
Author
Massimiliano Marzo
Copyright Year
2025
DOI
https://doi.org/10.1007/978-3-032-07046-3_19
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