Volatility spillover between carbon credit markets and cryptocurrencies: evidence from EUA futures, Bitcoin and Ethereum
炭素クレジット市場と暗号資産間のボラティリティ・スピルオーバー:EUA先物、ビットコイン、イーサリアムからの証拠 (AI 翻訳)
Thu Minh Thi VU, Linh Ha Nguyen
🤖 gxceed AI 要約
日本語
本研究は2020-2024年のEUA先物、ビットコイン、イーサリアム間のボラティリティ・スピルオーバーを分析。DCC-GARCHとDiebold-Yilmaz指標を用い、COVID-19パンデミックやロシア・ウクライナ戦争などの危機時にスピルオーバーが顕著になることを発見。イーサリアムが主な送信者、EUAはほとんど影響を受けない。
English
This study analyzes volatility spillovers between EUA futures, Bitcoin, and Ethereum from 2020-2024 using DCC-GARCH and Diebold-Yilmaz index. Results show significant but time-varying spillovers, intensifying during crises like COVID-19 and the Russia-Ukraine war. Ethereum is the main net transmitter, while EUA remains largely insulated.
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
日本ではJ-クレジット市場が形成されつつあるが、EUAを対象とした本研究は、炭素市場と金融市場の連関を理解する上で示唆に富む。特に、日本の炭素クレジット市場設計や、グリーンファイナンスにおける資産間のリスク連動を考える際の参考となる。
In the global GX context
This paper contributes to the growing literature on green-digital finance by empirically linking carbon credit markets (EUA) with cryptocurrencies. It highlights crisis-driven spillover dynamics relevant for climate finance risk management and regulatory oversight of emerging carbon markets globally.
👥 読者別の含意
🔬研究者:Provides empirical evidence on cross-market volatility transmission between carbon credits and cryptocurrencies using advanced time-series methods.
🏢実務担当者:Insights for carbon market participants and crypto investors on portfolio diversification and risk assessment under crisis conditions.
🏛政策担当者:Highlights the need for monitoring cross-asset contagion risks between carbon markets and digital assets, especially during market stress.
📄 Abstract(原文)
Purpose This study investigates the volatility spillover dynamics between carbon credit market represented by European Union Allowance (EUA) futures and major cryptocurrencies, Bitcoin (BTC) and Ethereum (ETH), during the 2020–2024 period. It aims to understand whether these assets, despite their difference in regulatory and structural features, exhibit interconnected volatility pattern and particularly under crisis or shock conditions. Design/methodology/approach The article employs a two-step econometric approach. First, the Dynamic Conditional Correlation Generalized Autoregressive Conditional Heteroskedasticity (DCC-GARCH) model is used to estimate time-varying return correlations among EUA, BTC and ETH. And second, the Diebold–Yilmaz (2012) spillovers index based on forecast error variance decomposition is applied to quantify the sizes, directions and evolution of volatility spillovers across markets. Findings The results reveal significant but uneven and time-varying volatility spillovers between carbon and cryptocurrency markets. Spillover intensity becomes more prominent, especially during major crisis periods such as the COVID-19 pandemic, the Russia–Ukraine war and the FTX collapse. Spillovers are asymmetric and regime-dependent. ETH emerges as the main net volatility transmitter, while BTC exhibits a near-neutral and regime-dependent role, alternating between transmitting and receiving shocks. EUA futures remain largely insulated, with only limited outward volatility transmission even under extreme market conditions. These findings suggest the presence of conditional and crisis-driven spillover linkages between green and digital assets. Originality/value This is among the first studies to empirically examine the volatility transmissions between carbon credit and cryptocurrency market using advanced econometric tools. It contributes to the emerging green -digital finance literature by identifying dynamic and directional interdependency across these evolving asset types.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1108/ijoem-06-2025-1339first seen 2026-06-17 05:44:08 · last seen 2026-06-17 07:14:03
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