Scholarlink

<p>This research examines the dynamic quantile–quantile connectedness (QQC) between green bonds (<i>GB</i>), <i>AI</i>, digital currency (<i>DC</i>), carbon efficiency (<i>CE</i>), and climate resilience (<i>CR</i>). The study uses daily data from June 2018 to January 2025, and the findings indicate that the chosen indicators exhibit nonlinear, spillover effects across the extreme quantile ranges. The connectedness pattern indicates high values at the lower and upper quantiles for <i>AI</i> and <i>CR</i>, indicating strong tail-dependent connectedness between them. Similarly, the higher connectedness between <i>GBs</i> and <i>CR</i> at both lower and higher quantiles, with negative net connectedness, indicates that <i>GBs</i> and <i>DC</i> are identified as net transmitters of climate resilience. In contrast, the <i>CE</i> serves as a net recipient of spillovers in the dynamic QQC framework. The connectedness pattern is re-analyzed with the quantile connectedness (QC) approach. The findings guide policymakers and renewable energy investors toward long-term, sustainable, and climate-resilient infrastructure.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Measuring the spillover effects: evidence from AI, green bonds, digital currency, and climate resilience with a quantile-on-quantile connectedness approach

  • 期刊论文

  • 发表日期：

    2026年7月3日

查看全文
  • Dan Wan,
  • Anwar Khan

摘要

This research examines the dynamic quantile–quantile connectedness (QQC) between green bonds (GB), AI, digital currency (DC), carbon efficiency (CE), and climate resilience (CR). The study uses daily data from June 2018 to January 2025, and the findings indicate that the chosen indicators exhibit nonlinear, spillover effects across the extreme quantile ranges. The connectedness pattern indicates high values at the lower and upper quantiles for AI and CR, indicating strong tail-dependent connectedness between them. Similarly, the higher connectedness between GBs and CR at both lower and higher quantiles, with negative net connectedness, indicates that GBs and DC are identified as net transmitters of climate resilience. In contrast, the CE serves as a net recipient of spillovers in the dynamic QQC framework. The connectedness pattern is re-analyzed with the quantile connectedness (QC) approach. The findings guide policymakers and renewable energy investors toward long-term, sustainable, and climate-resilient infrastructure.