Is the energy transition impacting the Eurozone sovereign credit risk? Evidence from Machine Learning

日本語

本研究は機械学習を用いて、エネルギー転換がユーロ圏ソブリン信用リスクに与える影響を分析。再生可能エネルギーへの移行が国債利回りやCDSスプレッドに与える影響を評価し、気候変動リスクが金融安定性に及ぼす含意を提示。政策立案者や投資家にとって重要な知見を提供する。

English

This study uses machine learning to analyze the impact of the energy transition on Eurozone sovereign credit risk. It evaluates how the shift to renewable energy affects government bond yields and CDS spreads, offering insights into the implications of climate risk for financial stability. The findings are relevant for policymakers and investors.

日本のGX文脈において

日本では、GX経済移行債やカーボンプライシング導入が進む中、エネルギー転換が国債市場や金融機関のポートフォリオに与える影響は重要。本研究の手法は、日本のソブリン信用リスク評価やESG投資戦略に応用可能。

In the global GX context

This paper contributes to the global discourse on climate-related financial risks, particularly in the context of the ECB's climate stress tests and the EU's sustainable finance agenda. It provides empirical evidence on how energy transition policies can affect sovereign creditworthiness, relevant for investors and regulators worldwide.