炭素・水・クリーンエネルギー・グリーンボンド・ESG市場間の裾依存コネクテッドネス
Tail-Dependent Connectedness Across Carbon, Water, Clean-Energy, Green-Bond, and ESG Markets (原題)
Bunnag T
🤖 gxceed AI 要約
日本語
EUA価格、水ETF、クリーンエネルギー指数、グリーンボンドETF、ESG株指数の5市場間のリターン連動性を、分位ベクトル自己回帰(QVAR)と一般化予測誤差分散分解で分析。全期間の総連動性は約34%で安定しているが、ローリング推定では上位裾(0.95分位)で統計的に有意な増幅が確認された。水関連株が最も持続的な純送信者、グリーンボンドが主要な純受信者であり、高VIX局面では連動性がむしろ低下する。状態依存型の最小分散ポートフォリオはボラティリティを13.22%から5.91%に低減するが、リターンも低下する。
English
This study examines return connectedness among EU Allowance prices, a global water ETF, a clean-energy index, a green-bond ETF, and an ESG equity index using quantile VAR and generalized forecast-error variance decomposition. Full-sample total connectedness is moderate and stable (~34%), but rolling estimates reveal statistically significant upper-tail amplification at the 0.95 quantile. Water equities are the most persistent net transmitter and green bonds the principal net receiver; high-VIX windows show lower, not higher, connectedness. A state-contingent minimum-variance portfolio cuts annualized volatility from 13.22% to 5.91% but with lower returns.
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SSBJ基準やTCFD開示が進み、機関投資家の移行リスク管理において炭素価格・グリーンボンド・ESG市場間の連動性理解が重要になる。本論文は、ストレス時に持続可能資産間の分散効果が一様に低下するわけではないことを示し、日本企業の移行金融戦略やポートフォリオ構築に示唆を与える。
In the global GX context
As global disclosure frameworks (TCFD, ISSB, CSRD) push investors to assess transition risk across carbon, green-bond, and ESG markets, this paper shows that tail connectedness is state-contingent and not uniformly amplified by stress. It adds nuance to the assumption that sustainable assets become more integrated during crises, informing diversification and risk-management strategies under transition finance.
👥 読者別の含意
🔬研究者:分位点VARと裾依存連動性の手法を、持続可能金融市場のリスク伝播分析に応用する実証例として参考になる。
🏢実務担当者:グリーンボンドやESG株を含むポートフォリオの分散効果が、市場ストレス時に必ずしも低下しないことを踏まえたリスク管理が可能。
🏛政策担当者:炭素価格とグリーンボンド市場の連動性を監視し、移行リスクの伝播経路を考慮した政策設計の必要性を示唆。
📄 Abstract(原文)
Sustainable financial markets link carbon pricing, environmental infrastructure, low-carbon technology, fixed-income financing, and broad environmental, social, and governance investment. Whether these markets transmit shocks differently in the tails of the return distribution remains important for diversification and transition-risk management. This study examines return connectedness among European Union Allowance prices, a global water exchange-traded fund, a global clean-energy index, a U.S.-dollar green-bond exchange-traded fund, and an ESG equity index. The synchronized sample contains 1,441 daily level observations from 16 March 2020 to 31 December 2025, yielding 1,440 percentage log returns. A quantile vector autoregression is combined with generalized forecast-error variance decomposition to estimate total, directional, and net connectedness at the 0.05, 0.25, 0.50, 0.75, and 0.95 quantiles. Rolling estimates, stationary-bootstrap confidence intervals, volatility and interest-rate regimes, and forecast-horizon sensitivity provide additional inference. Full-sample total connectedness is moderate and unusually stable, ranging from 33.90% to 34.16%. Rolling evidence nevertheless reveals statistically supported upper-tail amplification: the 0.95-quantile total connectedness exceeds the median by 0.672 percentage points on average, with a 95% stationary-bootstrap interval of 0.372 to 0.961. The lower-tail difference is not statistically distinguishable from zero. The water-equity portfolio is the most persistent net transmitter, while green bonds are the principal net receiver. High-VIX windows exhibit lower rather than higher average connectedness. An exact cluster decomposition attributes this decline to weaker cross-cluster links, while connectedness within the CGW–CLEAN–SPESG equity cluster rises slightly. Extreme conditional returns and observable market stress are therefore related but distinct states. The findings support state-contingent diversification and caution against assuming that all forms of stress mechanically intensify integration among sustainable assets. A strictly timed out-of-sample extension shows that a state-contingent QVAR-adjusted minimum-variance portfolio reduces annualized volatility from 13.22% for equal weighting to 5.91% and maximum drawdown from 21.39% to 13.22%, although this protection is accompanied by lower realized returns. Connectedness therefore provides decision value primarily through risk containment rather than return enhancement in this sample.
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.20944/preprints202609.2688.v1first seen 2026-10-02 04:21:03
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