Monetary Policies on Green Financial Markets: Evidence from a Multi-Moment Connectedness Network

Tingguo Zheng, Hongyin Zhang, Shiqi Ye
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Abstract

This paper introduces a novel multi-moment connectedness network approach for analyzing the interconnectedness of green financial market. Focusing on the impact of monetary policy shocks, our study reveals that connectedness within the green bond and equity markets varies with different moments (returns, volatility, skewness, and kurtosis) and changes significantly around Federal Open Market Committee (FOMC) events. Static analysis shows a decrease in connectedness with higher moments, while dynamic analysis highlights increased sensitivity to event-driven shocks. We find that both tight and loose monetary policy shocks initially elevate connectedness within the first six months. However, the effects of tight shocks gradually fade, whereas loose shocks may reduce connectedness after one year. These results offer insight to policymakers in regulating sustainable economies and investment managers in strategizing asset allocation and risk management, especially in environmentally focused markets. Our study contributes to understanding the complex dynamics of the green financial market in response to monetary policies, helping in decision-making for sustainable economic development and financial stability.
货币政策对绿色金融市场的影响:来自多时刻关联网络的证据
本文介绍了一种新颖的多矩关联网络方法,用于分析绿色金融市场的相互关联性。我们的研究以货币政策冲击的影响为重点,揭示了绿色债券和股票市场的关联性随不同时刻(收益率、波动率、偏度和峰度)而变化,并在联邦公开市场委员会(FOMC)事件前后发生显著变化。静态分析表明,随着矩数的增加,非关联性降低,而动态分析则突出了对事件驱动冲击的敏感性增加。我们发现,紧缩和宽松的货币政策冲击最初都会在头六个月内提升关联度。然而,紧缩冲击的影响会逐渐减弱,而宽松冲击则可能在一年后降低关联度。这些结果为监管可持续经济的政策制定者和指导资产配置与风险管理的投资经理提供了启示,尤其是在以环保为重点的市场中。我们的研究有助于理解绿色金融市场响应货币政策的复杂动态,有助于为可持续经济发展和金融稳定做出决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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