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The predictive role of country-level ESG indicators

Dudás, Fanni and Naffa, Helena ORCID: https://orcid.org/0000-0003-4284-1601 (2020) The predictive role of country-level ESG indicators. Economy and Finance, 7 (4). pp. 441-453. DOI 10.33908/EF.2020.4.5

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Official URL: https://doi.org/10.33908/EF.2020.4.5


Abstract

Environmental, social and governance aspects, collectively known as ESG factors, have gained significant importance in finance recently. This paper focuses on uncovering the importance of the predictive power of country-level ESG indicators in estimating risk premiums. We use the Worldwide Governance Indicators and the database of global ESG indicators provided by the World Bank, while we apply the neural networks methodology. A constant relationship between ESG factors and risk premiums would result in obvious implications for policymakers, as well as for investors. We seek empirical evidence to leverage ESG considerations in investment decisions and policymaking to ensure sustainable economic development.

Item Type:Article
Uncontrolled Keywords:ESG investments, neural networks, risk premium, sustainability
JEL classification:G11 - Portfolio Choice; Investment Decisions
Q01 - Sustainable Development
Q56 - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
Divisions:Corvinus Doctoral Schools
Institute of Finance
Subjects:Ecology
Environmental economics
DOI:10.33908/EF.2020.4.5
ID Code:11890
Deposited By: MTMT SWORD
Deposited On:08 Oct 2025 14:21
Last Modified:08 Oct 2025 14:21

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