The role of ESG factor in stock clustering based on risk-return-liquidity dimensions

IF 3.8 3区 经济学 Q1 BUSINESS, FINANCE
Lucie Staněk Gyönyör , Matúš Horváth , Daniel Stašek , Martin Stachoň
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引用次数: 0

Abstract

ESG stocks exhibit discernible attributes that encompass both financial and non-financial considerations. Our study examines whether ESG stocks provide unique characteristics in terms of return, risk, and liquidity. We use a multivariate statistical approach to analyze the ESG ratings of S&P 1200 stocks from seven major data providers and their structural combinations. The findings indicate the absence of a general systematic effect over seven consecutive years. Still, unidimensional scores, particularly Governance, demonstrate greater significance compared to multidimensional indicators, suggesting the financial importance of core ESG information and its usefulness in financial decision-making. Besides, we discuss the effect of specific events and investors’ understanding of ESG scores’ representation. Although the article argues for a substantial overlap between traditional financial analysis and the core features of the Governance dimension, ESG may not emerge as a dominant factor in stock clustering and, thus, cannot be recognized as a separate sub-asset class indicator.
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来源期刊
CiteScore
7.30
自引率
8.30%
发文量
168
期刊介绍: The focus of the North-American Journal of Economics and Finance is on the economics of integration of goods, services, financial markets, at both regional and global levels with the role of economic policy in that process playing an important role. Both theoretical and empirical papers are welcome. Empirical and policy-related papers that rely on data and the experiences of countries outside North America are also welcome. Papers should offer concrete lessons about the ongoing process of globalization, or policy implications about how governments, domestic or international institutions, can improve the coordination of their activities. Empirical analysis should be capable of replication. Authors of accepted papers will be encouraged to supply data and computer programs.
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