Spillover connectedness among climate risk, cleantech and green bonds: evidence from quantile and frequency-dependent approach
気候リスク、クリーンテック、グリーンボンド間のスピルオーバー連結性:分位点および周波数依存アプローチによる証拠 (AI 翻訳)
Thomas Adjei Kuffour, Patrick Kwashie Akorsu, Peterson Owusu Junior
🤖 gxceed AI 要約
日本語
本研究は、気候リスク(物理的・移行的)とクリーンテック8セクターおよびグリーンボンドとの動的相互連関を、2017~2024年の日次データを用いて分位点ベクトル自己回帰(QVAR)により分析。スピルオーバー効果は市場環境に依存し、極端な市場条件下で強まる。気候リスク指数は短期的にはネット受信者だが、中長期的には送信者に転換。クリーンテックセクターではバイオ燃料や地熱が送信者、風力・太陽光・水濾過が受信者。グリーンボンドは安定化要因として機能。
English
This study examines the dynamic interconnectedness of climate risks (physical and transition) with eight clean technology sectors and green bonds using quantile vector autoregressions (QVAR) on daily data from 2017 to 2024. Spillover effects are regime-dependent, stronger under extreme market conditions. Climate risk indices act as net receivers short-term but become net transmitters medium- to long-term. Biofuels and geothermal are net transmitters; wind, solar, and water filtration are net receivers. Green bonds serve as a stabilizer and safe haven.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本のグリーンボンド市場やクリーンテック投資戦略にとって、気候リスクの時間的・市場状況依存的な波及効果を理解する上で示唆に富む。特に、グリーンボンドの安全資産性は日本のESG投資家にも有用。ただし、日本のデータや政策への直接的な言及はない。
In the global GX context
The paper provides empirical evidence on the time-varying roles of climate risk indices and the stabilizing function of green bonds, which is relevant for global green finance and portfolio diversification. The frequency-dependent analysis offers insights for policy design in climate-resilient investments.
👥 読者別の含意
🔬研究者:Methodologically demonstrates the use of QVAR for studying climate-finance linkages, highlighting regime-dependent spillovers.
🏢実務担当者:Green bond investors and clean energy portfolio managers can use the diversification implications and safe-haven properties of green bonds.
🏛政策担当者:Supports the design of policies that enhance the resilience of green financial systems by understanding risk transmission channels.
📄 Abstract(原文)
Abstract The study examines the dynamic and interlinked relations of climate risks (physical and transition) with clean technology sectors and green bonds. Employing daily data spanning 2017–2024, the study quantile vector autoregressions (QVAR) to capture the asymmetrical and time-varying interactions of eight clean technology sectors (solar, wind, biofuels, geothermal, smart transportation, green buildings, smart grids and water filtration), climate risks and green bonds. The analysis revealed that spillover effects are highly regime- and frequency-dependent, with stronger interconnectedness emerging under extreme bearish and bullish market conditions compared to normal periods. Importantly, climate risk indices (transition and physical risks) exhibit time-varying roles, acting as net receivers in the short run but evolving into dominant net transmitters over medium- and long-term horizons. This highlights their dual function as absorbers of immediate shocks and long-term drivers of volatility across clean technology markets. The clean technology sectors displayed heterogeneous behaviours: biofuels and geothermal consistently emerged as key net transmitters of shocks, while wind, solar and water filtration acted as reliable net receivers, suggesting that they absorb external disturbances rather than propagate them, which may indicate potential diversification benefits. In contrast, the green bond market consistently played the role of a stabiliser by absorbing risks, corroborating its reputation as a potential safe-haven asset, especially during periods of heightened volatility. The study provides diversification strategies to reduce the financial loss due to climate risk, particularly invested in CleanTech, and thus provide market-based evidence that can support more informed decision-making and the design of policies aimed at enhancing the resilience and efficiency of green financial systems.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1186/s43093-026-00884-9first seen 2026-07-02 05:07:18
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