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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