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Climate policy uncertainty, sustainable finance and macro-financial interconnectedness

気候政策の不確実性、サステナブルファイナンスとマクロ金融の相互連関 (AI 翻訳)

Pushpa Negi, Som Nath Paul, Komal Khatter, Anand Jaiswal, Іhor Rekunenko

Cogent Economics & Finance📚 査読済 / ジャーナル2026-06-22#気候金融Origin: Global経営インパクト: 資金調達対象セクター: finance
DOI: 10.1080/23322039.2026.2691503
原典: https://doi.org/10.1080/23322039.2026.2691503
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🤖 gxceed AI 要約

日本語

本研究は、米国を対象に気候政策の不確実性(CPU)とマクロ経済指標、エネルギー市場、金融市場の動的かつ非対称な相互連関を分析。TVP-VARとQVARモデルを用い、市場が弱気・通常・強気の各局面でスピルオーバー効果が異なることを発見。強気局面ではCPUが金融市場やクリーンエネルギー資産へのショック源となる。政策の安定性と投資家のリスク管理の重要性を示唆。

English

This study analyzes the dynamic and asymmetric interconnectedness among climate policy uncertainty (CPU), macroeconomic indicators, energy markets, and financial markets in the US. Using TVP-VAR and QVAR models, it finds spillover effects vary across bearish, normal, and bullish regimes. Under bullish conditions, CPU becomes a significant source of shocks to financial markets and clean energy assets. The results emphasize the need for stable climate policies and CPU-aware risk management.

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

日本でもGX推進に伴い気候政策の不確実性が企業投資や金融市場に影響を与える可能性がある。本稿の知見は、日本の政策当局や企業がCPUをリスク管理に組み込む重要性を示唆する。

In the global GX context

Globally, this paper contributes to understanding how climate policy uncertainty (CPU) affects macro-financial stability, relevant for ISSB and TCFD risk assessments. It highlights that CPU is regime-dependent, urging regulators to ensure policy credibility and investors to adjust portfolio strategies accordingly.

👥 読者別の含意

🔬研究者:The TVP-VAR and QVAR methodology offers a framework to analyze regime-dependent spillovers from climate policy uncertainty to financial markets.

🏢実務担当者:Portfolio managers and risk officers should incorporate climate policy uncertainty (CPU) as a regime-dependent risk factor in asset allocation and hedging strategies.

🏛政策担当者:Stable and credible climate policies reduce uncertainty spillovers, supporting financial stability and the transition to a sustainable economy.

📄 Abstract(原文)

Climate policy uncertainty (CPU) has emerged as a critical factor influencing investment decisions, financial market dynamics, and the transition toward a sustainable economy. This study investigates the dynamic and asymmetric interconnectedness among CPU, key macroeconomic indicators, industrial output, energy markets and financial markets in the United States. Using monthly data, we employ an integrated econometric framework combining time-varying Parameter Vector Autoregression (TVP-VAR) and Quantile Vector Autoregression (QVAR) models to capture connectedness patterns across bearish, normal and bullish market regimes. The empirical findings reveal substantial heterogeneity in spillover dynamics across market states. At the average market level, energy prices and monetary policy variables emerge as the dominant transmitters of shocks, while CPU and industrial output function primarily as net receivers. Under bullish conditions, however, CPU becomes a significant source of shocks to financial markets and clean energy assets, with interconnectedness intensifying markedly during extreme market conditions. These results establish CPU as a regime-dependent driver of macro-financial connectedness, extending the predictions of Uncertainty Investment Theory and Real Options Theory. The findings highlight the importance of stable, credible climate policies and the need for investors to incorporate CPU into risk management and portfolio allocation strategies.Impact StatementThis study examines how climate policy uncertainty influences the interconnectedness of macroeconomic, energy, industrial, and financial markets. Using advanced econometric techniques, it shows that the effects of climate policy uncertainty vary across market conditions and become particularly influential during extreme market states. The findings highlight the importance of stable and credible climate policies for reducing uncertainty, supporting investment decisions, and promoting financial stability during the transition to a sustainable economy.

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