Assessing green bond risk: an empirical investigation

IF 5.5 Q1 BUSINESS, FINANCE
Green Finance Pub Date : 2021-01-01 DOI:10.3934/gf.2021012
A. Tsoukala, G. Tsiotas
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引用次数: 6

Abstract

Green bonds have gained a significant share in the bond market. However, dynamic risk and its spillover to other conventional bond investments plays an important role in its understanding. In this paper, we analyze the volatility and correlation dynamics between conventional bond and green bond assets under both loose and stringent eligibility green-labeled criteria. We build dynamic conditional correlation (DCC) model specifications using alternative distributional assumptions. We also assess risk dynamics expressed by Value-at-Risk (VaR) and its corresponding loss function. We illustrate risk assessment in within and out-of-sample periods using conventional and green bond returns. The results show that there is significant spillover between conventional and green bond assets, triggering significant hedging strategies. However, these spillover effects are subjected to the type of green-labeled criteria. Finally, a risk assessment using VaR forecasting and its corresponding loss function estimation also demonstrates significant differentiation between green and conventional bonds.
绿色债券风险评估:实证研究
绿色债券在债券市场上占有相当大的份额。然而,动态风险及其对其他传统债券投资的溢出对其理解起着重要作用。本文分析了传统债券和绿色债券资产在宽松和严格绿色标签标准下的波动性和相关性动态。我们建立动态条件相关(DCC)模型规范使用替代分布假设。我们还评估了由风险价值(VaR)及其相应的损失函数表示的风险动态。我们使用传统债券和绿色债券回报说明样本内和样本外时期的风险评估。结果表明,传统债券和绿色债券资产之间存在显著的溢出效应,引发了显著的对冲策略。然而,这些溢出效应受到绿色标签标准的影响。最后,使用VaR预测及其相应的损失函数估计的风险评估也表明绿色债券与传统债券之间存在显著差异。
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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来源期刊
Green Finance
Green Finance Multiple-
CiteScore
9.60
自引率
3.50%
发文量
14
审稿时长
6 weeks
期刊介绍: Green Finance is an international, interdisciplinary Open Access journal dedicated to green finance, environmental, and sustainability research and practice. It offers a platform for publishing original contributions and technical reviews on green finance and related topics, following a rigorous peer-review process. Accepted article types include original research, reviews, editorials, letters, and conference reports.
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