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Return and Risk Spillovers between ESG Global Index and Stock Markets: Evidence from Time and Frequency Analysis

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  • Kılıç, Yunus
  • Destek, Mehmet Akif
  • Cevik, Emrah Ismail
  • Bugan, Mehmet Fatih
  • Korkmaz, Oya
  • Dibooglu, Sel

Abstract

In this paper, we examine the comovements between stock market returns and investments that take into account Environmental, Social, and Governance (ESG) factors by studying interconnections between the two returns in time and frequency space. We study interdependencies between the conventional stock market and ESG stocks using daily data from 2007 – 2021 for a set of 19 developing and 19 developed countries. Our results show significant comovement patterns between ESG returns and stock returns at various frequencies, time scales, and various sample episodes in all countries, particularly over financial turmoil episodes. For the most part, we document positive (in-phase) comovements between the stock returns and ESG returns in developing countries and negative (out-of-phase) comovements in developed countries. This implies limited portfolio gains from adding ESG stocks to portfolio diversification in developing countries but significant gains in developed countries.

Suggested Citation

  • Kılıç, Yunus & Destek, Mehmet Akif & Cevik, Emrah Ismail & Bugan, Mehmet Fatih & Korkmaz, Oya & Dibooglu, Sel, 2022. "Return and Risk Spillovers between ESG Global Index and Stock Markets: Evidence from Time and Frequency Analysis," MPRA Paper 117557, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:117557
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    References listed on IDEAS

    as
    1. Vacha, Lukas & Barunik, Jozef, 2012. "Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis," Energy Economics, Elsevier, vol. 34(1), pages 241-247.
    2. Hélène Pasquini-Descomps & Jean-Michel Sahut, 2014. "ESG Impact on Market Performance of Firms: International Evidence," Working Papers 2014-212, Department of Research, Ipag Business School.
    3. Omane-Adjepong, Maurice & Alagidede, Paul & Akosah, Nana Kwame, 2019. "Wavelet time-scale persistence analysis of cryptocurrency market returns and volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 105-120.
    4. Xiang Deng & Xiang Cheng, 2019. "Can ESG Indices Improve the Enterprises’ Stock Market Performance?—An Empirical Study from China," Sustainability, MDPI, vol. 11(17), pages 1-13, September.
    5. Mehmet Balcilar & Riza Demirer & Rangan Gupta, 2017. "Do Sustainable Stocks Offer Diversification Benefits for Conventional Portfolios? An Empirical Analysis of Risk Spillovers and Dynamic Correlations," Sustainability, MDPI, vol. 9(10), pages 1-18, October.
    6. Ali Alshehhi & Haitham Nobanee & Nilesh Khare, 2018. "The Impact of Sustainability Practices on Corporate Financial Performance: Literature Trends and Future Research Potential," Sustainability, MDPI, vol. 10(2), pages 1-25, February.
    7. Aloui, Chaker & Hkiri, Besma, 2014. "Co-movements of GCC emerging stock markets: New evidence from wavelet coherence analysis," Economic Modelling, Elsevier, vol. 36(C), pages 421-431.
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    Cited by:

    1. Rahul Verma & Rajesh Mohnot, 2023. "Relative Impact of the U.S. Energy Market Sentiments on Stocks and ESG Index Returns: Evidence from GCC Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 290-300, March.
    2. Wan, Jieru & Yin, Libo & Wu, You, 2024. "Return and volatility connectedness across global ESG stock indexes: Evidence from the time-frequency domain analysis," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 397-428.
    3. Mandas, Marco & Lahmar, Oumaima & Piras, Luca & De Lisa, Riccardo, 2024. "ESG reputational risk and market valuation: Evidence from the European banking industry," Research in International Business and Finance, Elsevier, vol. 69(C).
    4. Zhuoqi Teng & Renhong Wu & Yugang He & Anibal Coronel, 2023. "Swings in Crude Oil Valuations: Analyzing Their Bearing on China’s Stock Market Returns amid the COVID-19 Pandemic Upheaval," Discrete Dynamics in Nature and Society, Hindawi, vol. 2023, pages 1-10, June.
    5. Jiahui Su & Yidi Sun, 2023. "An Improved TOPSIS Model Based on Cumulative Prospect Theory: Application to ESG Performance Evaluation of State-Owned Mining Enterprises," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
    6. Bhattacherjee, Purba & Mishra, Sibanjan & Kang, Sang Hoon, 2023. "Does market sentiment and global uncertainties influence ESG-oil nexus? A time-frequency analysis," Resources Policy, Elsevier, vol. 86(PA).

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    More about this item

    Keywords

    Wavelet coherence analysis; ESG investing; stock markets; portfolio diversification;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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