Impact of climate risk on clean water investments: Does crude oil act as a hedge?
気候リスクが水保全投資に与える影響：原油はヘッジとして機能するか？ (AI 翻訳)
Mohammad Rakib Uddin Bhuiyan, Anupam Dutta, Ali Ahmed, Gazi Salah Uddin
🤖 gxceed AI 要約
日本語
本研究は、気候政策の不確実性（CPU）が水関連ETFの収益に与える影響を、レジーム・スイッチングVARモデルを用いて分析。低ボラティリティ時にはCPUがプラスの影響を与える一方、高ボラティリティ時にはマイナスの影響を示す。原油は水ポートフォリオのヘッジとして有効だが、ハイテクETFは効果が低い。非線形モデルの重要性を強調。
English
This study uses a Markov regime-switching VAR to analyze how climate policy uncertainty (CPU) affects water equity ETFs. CPU boosts returns in low-volatility regimes but depresses them in high-volatility regimes. Crude oil provides cost-effective hedging for water portfolios, while tech ETFs do not. The findings highlight the need for regime-sensitive strategies and nonlinear models in climate finance.
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、水関連インフラ投資が注目される中、気候政策の不確実性（CPU）が投資リターンに与える影響を理解することは重要です。本稿の解析手法は、日本の水関連ETFや政策連動分析にも応用可能です。
In the global GX context
This paper contributes to the growing literature on climate finance by demonstrating the regime-dependent impact of climate policy uncertainty on clean water investments. It offers practical insights for global investors on hedging with crude oil and highlights the importance of nonlinear modeling in sustainable finance.
👥 読者別の含意
🔬研究者:This study provides a regime-switching framework that can be extended to other climate-sensitive asset classes and policy scenarios.
🏢実務担当者:Water portfolio managers can use these findings to adjust hedging strategies based on market volatility regimes and the cost-effectiveness of crude oil as a hedge.
🏛政策担当者:Policymakers should communicate climate initiatives with awareness of market volatility conditions to avoid adverse impacts on clean water investments.
📄 Abstract（原文）
Water investments play an increasingly important role in sustainable finance, yet their response to climate policy uncertainty (CPU) under different market conditions remains poorly understood. This study examines the regime-dependent influence of CPU on water equity performance using monthly data for the First Trust Water ETF (FIW) and the Invesco Global Water ETF (PIO) from 2007 to 2024. A Markov regime-switching VAR framework is employed to capture nonlinear dynamics that conventional linear models may overlook. The results reveal two distinct volatility regimes with contrasting CPU effects. In low-volatility periods, CPU is associated with higher returns, indicating that climate-policy developments can signal investment opportunities when markets are stable. During high-volatility periods, CPU exerts a negative influence, consistent with rising discount rates applied to long-term water-infrastructure cash flows. Regime persistence differs across ETFs: FIW exhibits frequent, short-lived transitions, whereas PIO displays more persistent states. A complementary DCC-GARCH analysis shows that crude oil provides a relatively cost-effective hedge for water portfolios, while technology ETFs offer substantially weaker hedging performance. Overall, the findings highlight the importance of regime-sensitive portfolio strategies for investors and emphasize that policymakers should consider prevailing market conditions when communicating climate initiatives. The study demonstrates that nonlinear models are essential for uncovering climate-finance linkages that linear approaches fail to detect.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1016/j.joitmc.2025.100708first seen 2026-07-01 05:50:32
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