The interrelationship between the carbon market and the green bonds market: Evidence from wavelet quantile-on-quantile method

Xiaohang Ren, Yiying Li, Cheng Yan, Fenghua Wen and Zudi Lu

Technological Forecasting and Social Change, 2022, vol. 179, issue C

Abstract: The 26th edition of the United Nations climate change conference (COP26) underlines the importance of financial products and markets related to “carbon” (e.g., carbon and green bond markets). We, to our knowledge, are the first to construct a framework based on multiple time scales and market conditions to quantify the interrelationship between the carbon futures and green bond markets. Specifically, we estimate it from short-, medium-, and long-term perspectives and different market conditions by combining the maximum overlap discrete wavelet transform (MODWT) and two quantile methods to decompose the sequences into various frequencies and quantiles. We find that the carbon futures price unilaterally Granger causes the green bond index and empirically analyzes the asymmetric impact of the carbon futures with a two-dimensional quantile model constructed by the quantile-on-quantile (QQ) regression approach. We find positive effects of the carbon futures in the medium to long term and erratic performance in the short term. The effects are more pronounced when both markets are in an extreme state. Our findings enrich the research related to eco-economy and carbon finance, providing a more comprehensive and detailed research framework, and helping others optimize investment portfolios and policy arrangements.

Keywords: Carbon futures; Green bond; Wavelet analysis; Quantile granger causality test; Quantile-on-quantile regression (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (61)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:179:y:2022:i:c:s0040162522001433

DOI: 10.1016/j.techfore.2022.121611

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