The Impact of ESG Ratings on the Systematic and Unsystematic Risk of European Companies
ESG評価が欧州企業の系統的リスクと非系統的リスクに与える影響 (AI 翻訳)
T. Hildenbrand, A. Röser, Alexander Zureck
🤖 gxceed AI 要約
日本語
本稿は、2017年から2022年におけるSTOXX Europe 600構成企業を対象に、ESG格付け（Bloomberg開示スコアとMorningstar Sustainalyticsスコア）が系統的リスクと非系統的リスクに与える影響を分析。パネル回帰により、時期や業種に応じてESGとリスクの関係が変化することを明らかにした。
English
This study analyzes the impact of ESG ratings (Bloomberg Disclosure Score and Morningstar Sustainalytics Score) on systematic and unsystematic risk for STOXX Europe 600 companies from 2017-2022. Using panel regression, it finds that the relationship between ESG and risk varies over time and across sectors, with ESG performance reducing systematic risk in recent years for ESG-sensitive industries.
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ESG投資が定着する中、欧州企業の実証結果は、国内企業のリスク管理や開示戦略に示唆を与える。特に、ESGパフォーマンスが系統的リスクに与える影響が時期により変化する点は、日本の機関投資家にとって注視すべき知見。
In the global GX context
This paper contributes to the global debate on ESG materiality by showing that ESG ratings affect systematic and unsystematic risk differently across time periods and industries. For investors and companies aligning with TCFD/ISSB frameworks, the evolving risk-ESG relationship underscores the need for dynamic risk assessment rather than static ratings.
👥 読者別の含意
🔬研究者:Provides empirical evidence on the time-varying and sector-specific impact of ESG ratings on company risk.
🏢実務担当者:Highlights the importance of considering ESG rating methodologies and time horizons when assessing investment risk.
🏛政策担当者:Suggests that disclosure regulation (e.g., ISSB) should account for dynamic ESG-risk linkages to improve market efficiency.
📄 Abstract（原文）
This study investigates the impact of environmental, social, and governance (ESG) ratings on the systematic and unsystematic risk of European companies from 2017 to 2022. Using data from the STOXX Europe 600 Index, we employ panel regression and multiple linear regression analyses to examine two ESG rating methodologies: the Bloomberg Disclosure Score, which serves as a proxy for ESG transparency, and the Morningstar Sustainalytics Score, which represents ESG performance. To ensure robustness, control variables—including market capitalization, EBIT margin, debt-to-equity ratio, payout ratio, sector classification, and the risk-free interest rate—are included in the analyses. The main findings show that from 2017 to 2021, ESG transparency has a significant positive impact on systematic risk. In 2022, however, this relationship becomes negative, indicating a shift in the way transparency affects risk. Throughout the study period, no significant effect of ESG transparency on unsystematic risk is observed. Regarding ESG performance, the results show that in ESG-sensitive sectors, higher ESG performance significantly increases systematic risk from 2017 to 2019. From 2019 to 2022, better ESG performance is associated with a significant reduction in systematic risk. In addition, a significant positive impact on unsystematic risk is found from 2019 to 2022. These findings highlight the complex and dynamic relationship between ESG ratings and company risk profiles, which is influenced by factors such as time period, industry sensitivity, and rating methodology. The study underlines the importance of context in understanding the impact of ESG factors on investment risk.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3905/joi.2026.006first seen 2026-07-19 05:56:38
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