Complex non-linear relationship between conventional and green bonds: Insights amidst COVID-19 and the RU–UA conflict

IF 4.3 2区 经济学 Q1 BUSINESS, FINANCE Journal of Behavioral and Experimental Finance Pub Date : 2024-08-08 DOI:10.1016/j.jbef.2024.100966
Milena Kojić , Petar Mitić , Stephan Schlüter , Slobodan Rakić
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Abstract

In times of crisis, such as global pandemics or conflicts, investors’ preference between green and conventional bonds may lean towards the latter due to increased risk aversion and a focus on short-term stability. However, some investors motivated by increased awareness of sustainability issues may maintain or increase their allocation to green bonds, seeing them as an opportunity for long-term resilience and sustainable investing. We use multifractal detrended cross-correlation analysis, wavelet coherence, and copula-based dependence analysis to examine the complex relationship between the S&P Green Bond Index and the S&P 500 Bond Index. The results indicate the presence of multifractal cross-correlations, the strength of which is most pronounced in times of crisis, especially in the post-COVID-19 period. The wavelet-based analysis also detects the COVID-19 break and shows significant interdependence at all frequency levels after the RU–UA conflict. The copula-based correlation values exhibit a distinct oscillating pattern over time, characterized by an initial break coinciding with the impact of COVID-19. In light of these findings on the impact of COVID-19 and the RU–UA conflict, we have included the Geopolitical Risk Index in our analysis to better understand how geopolitical tensions and conflicts influence the observed interdependence and to gain insight into how changes in the global risk environment affect both bond market dynamics. Overall, the results of this study provide insights into the interconnectedness between conventional and green bond markets and highlight potential spillover effects and systemic risks in an increasingly complex financial landscape.

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传统债券与绿色债券之间复杂的非线性关系:在 COVID-19 和 RU-UA 冲突中的启示
在危机时期,如全球大流行病或冲突时期,投资者在绿色债券和传统债券之间的偏好可能会倾向于后者,原因是投资者的风险规避意识增强,注重短期稳定。然而,一些投资者由于对可持续发展问题的认识提高,可能会保持或增加对绿色债券的配置,将其视为长期抗风险和可持续投资的机会。我们使用多分形去趋势交叉相关分析、小波相干性和基于协整的依赖性分析来研究 S&P 绿色债券指数和 S&P 500 债券指数之间的复杂关系。结果表明存在多分形交叉相关性,其强度在危机时期最为明显,尤其是在后 COVID-19 时期。基于小波的分析也检测到了 COVID-19 的断裂,并显示在 RU-UA 冲突后的所有频率水平上都存在显著的相互依存关系。基于 copula 的相关值随着时间的推移呈现出明显的振荡模式,其特点是最初的断裂与 COVID-19 的影响相吻合。鉴于这些关于 COVID-19 和非盟冲突影响的研究结果,我们将地缘政治风险指数纳入了我们的分析,以更好地理解地缘政治紧张局势和冲突如何影响观察到的相互依存关系,并深入了解全球风险环境的变化如何影响这两个债券市场的动态。总之,本研究的结果为传统债券市场和绿色债券市场之间的相互联系提供了见解,并凸显了在日益复杂的金融环境中潜在的溢出效应和系统性风险。
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来源期刊
CiteScore
13.20
自引率
6.10%
发文量
75
审稿时长
69 days
期刊介绍: Behavioral and Experimental Finance represent lenses and approaches through which we can view financial decision-making. The aim of the journal is to publish high quality research in all fields of finance, where such research is carried out with a behavioral perspective and / or is carried out via experimental methods. It is open to but not limited to papers which cover investigations of biases, the role of various neurological markers in financial decision making, national and organizational culture as it impacts financial decision making, sentiment and asset pricing, the design and implementation of experiments to investigate financial decision making and trading, methodological experiments, and natural experiments. Journal of Behavioral and Experimental Finance welcomes full-length and short letter papers in the area of behavioral finance and experimental finance. The focus is on rapid dissemination of high-impact research in these areas.
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