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Are Sustainability Indices Infected by the Volatility of Stock Indices? Analysis before and after the COVID-19 Pandemic

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  • Manuel Carlos Nogueira

    (ISPGAYA–Higher Polytechnic Institute of Gaya, Avenida dos Descobrimentos 303, Santa Marinha, 4400-103 Vila Nova de Gaia, Portugal
    GOVCOPP–Research Unit in Governance, Competitiveness and Public Policy, Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), University of Aveiro, 3810-193 Aveiro, Portugal)

  • Mara Madaleno

    (GOVCOPP–Research Unit in Governance, Competitiveness and Public Policy, Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), University of Aveiro, 3810-193 Aveiro, Portugal)

Abstract

Considering the growing importance of sustainable investments worldwide, we explore the volatility transmission effects between the EURO STOXX Sustainability Index and the stock market indexes of its stocks. Using daily index return data, during 2000–2022, covering the COVID-19 pandemic, Multivariate Generalized Auto-Regressive Conditional Heteroskedasticity (MGARCH) models are used to explore if volatility effects of the stock indices felt during the pandemic implied any evolution in the effects already felt between the volatilities existing in these stock indices and the effects of stock market indices’ volatility over the sustainability index. Results point to the great dependence that the sustainability index has on stock index movements. The volatility felt in stock indices during the pandemic period did not become decisive in reversing a previous correlation trajectory between the stock market and sustainability indexes. Provided that sustainability is not observed exclusively in financial and economic terms, but in a triple bottom line context (including the social and environmental sides), we should not verify a high influence of stock market indexes over the sustainability index, as the results point out. Policymakers and investors should be aware of the high influence and take measures to turn the sustainability index more independent.

Suggested Citation

  • Manuel Carlos Nogueira & Mara Madaleno, 2022. "Are Sustainability Indices Infected by the Volatility of Stock Indices? Analysis before and after the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(22), pages 1-13, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15434-:d:978652
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    1. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    2. Benedict Sheehy & Federica Farneti, 2021. "Corporate Social Responsibility, Sustainability, Sustainable Development and Corporate Sustainability: What Is the Difference, and Does It Matter?," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    3. Alda, Mercedes, 2020. "ESG fund scores in UK SRI and conventional pension funds: Are the ESG concerns of the SRI niche affecting the conventional mainstream?," Finance Research Letters, Elsevier, vol. 36(C).
    4. Hafner, Christian M. & Herwartz, Helmut & Maxand, Simone, 2022. "Identification of structural multivariate GARCH models," Journal of Econometrics, Elsevier, vol. 227(1), pages 212-227.
    5. Mansi Jain & Gagan Deep Sharma & Mrinalini Srivastava, 2019. "Can Sustainable Investment Yield Better Financial Returns: A Comparative Study of ESG Indices and MSCI Indices," Risks, MDPI, vol. 7(1), pages 1-18, February.
    6. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    7. HAFNER, Christian & HERWARTZ, Helmut, 1998. "Volatility impulse response functions for multivariate GARCH models," LIDAM Discussion Papers CORE 1998047, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    8. Zaghum Umar & Mariya Gubareva, 2021. "The relationship between the Covid-19 media coverage and the Environmental, Social and Governance leaders equity volatility: a time-frequency wavelet analysis," Applied Economics, Taylor & Francis Journals, vol. 53(27), pages 3193-3206, June.
    9. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    10. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    11. Bonga-Bonga, Lumengo, 2018. "Uncovering equity market contagion among BRICS countries: An application of the multivariate GARCH model," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 36-44.
    12. Sharma, Gagan Deep & Tiwari, Aviral Kumar & Talan, Gaurav & Jain, Mansi, 2021. "Revisiting the sustainable versus conventional investment dilemma in COVID-19 times," Energy Policy, Elsevier, vol. 156(C).
    13. Luc Bauwens & Sébastien Laurent & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109, January.
    14. S. Sudha, 2015. "Risk-return and Volatility analysis of Sustainability Index in India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(6), pages 1329-1342, December.
    15. Anatoly B. Schmidt, 2022. "Optimal ESG portfolios: an example for the Dow Jones Index," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 12(2), pages 529-535, April.
    16. Benoit Mandelbrot, 1963. "New Methods in Statistical Economics," Journal of Political Economy, University of Chicago Press, vol. 71(5), pages 421-421.
    17. Yousaf, Imran & Suleman, Muhammad Tahir & Demirer, Riza, 2022. "Green investments: A luxury good or a financial necessity?," Energy Economics, Elsevier, vol. 105(C).
    18. Umar, Zaghum & Gubareva, Mariya & Tran, Dang Khoa & Teplova, Tamara, 2021. "Impact of the Covid-19 induced panic on the Environmental, Social and Governance leaders equity volatility: A time-frequency analysis," Research in International Business and Finance, Elsevier, vol. 58(C).
    19. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    20. Emil Andersson & Mahim Hoque & Md Lutfur Rahman & Gazi Salah Uddin & Ranadeva Jayasekera, 2022. "ESG investment: What do we learn from its interaction with stock, currency and commodity markets?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3623-3639, July.
    21. Kroner, Kenneth F & Ng, Victor K, 1998. "Modeling Asymmetric Comovements of Asset Returns," The Review of Financial Studies, Society for Financial Studies, vol. 11(4), pages 817-844.
    22. Felipe Arias Fogliano de Souza Cunha & Erick Meira de Oliveira & Renato J. Orsato & Marcelo Cabus Klotzle & Fernando Luiz Cyrino Oliveira & Rodrigo Goyannes Gusmão Caiado, 2020. "Can sustainable investments outperform traditional benchmarks? Evidence from global stock markets," Business Strategy and the Environment, Wiley Blackwell, vol. 29(2), pages 682-697, February.
    23. Li, Chao & Wu, Mian & Chen, Xi & Huang, Wenli, 2022. "Environmental, social and governance performance, corporate transparency, and credit rating: Some evidence from Chinese A-share listed companies," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    24. Philipp Krueger & Zacharias Sautner & Laura T Starks, 2020. "The Importance of Climate Risks for Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1067-1111.
    25. Iqbal, Najaf & Naeem, Muhammad Abubakr & Suleman, Muhammed Tahir, 2022. "Quantifying the asymmetric spillovers in sustainable investments," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    26. Gaurav Talan & Gagan Deep Sharma, 2019. "Doing Well by Doing Good: A Systematic Review and Research Agenda for Sustainable Investment," Sustainability, MDPI, vol. 11(2), pages 1-16, January.
    27. Maddalena Cavicchioli, 2021. "Fourth Moment Structure of Markov Switching Multivariate GARCH Models," Journal of Financial Econometrics, Oxford University Press, vol. 19(4), pages 565-582.
    28. Zhang, Wenting & He, Xie & Hamori, Shigeyuki, 2022. "Volatility spillover and investment strategies among sustainability-related financial indexes: Evidence from the DCC-GARCH-based dynamic connectedness and DCC-GARCH t-copula approach," International Review of Financial Analysis, Elsevier, vol. 83(C).
    29. Revelli, Christophe, 2017. "Socially responsible investing (SRI): From mainstream to margin?," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 711-717.
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