Quantile connectedness between social network sentiment and sustainability index volatility: Evidence from the Moroccan financial market

Authors

DOI:

https://doi.org/10.18559/ebr.2024.3.1200

Keywords:

COVID-19, ESG, frequency spillovers, quantile connectedness, sustainability

Abstract

The goal of this paper is to investigate the connectedness between investor sentiment and volatility on the environmental, social, and governance index (ESG) in Morocco. Therefore, on the basis of an investor sentiment index constructed from the X platform, and using quantile and frequency connectedness approaches, the findings reveal a significant connectedness between sentiment and ESG volatility, particularly during turbulent events. Although sentiment acts most of the time as a net receiver of shocks, notably during the COVID-19 pandemic and geopolitical crises, it sometimes becomes a net sender of shocks. Furthermore, the spillovers between sentiment and ESG volatility are determined mainly by the long-term component, especially during extreme events, implying the persistence of shock transmission due to high uncertainty. The results also illustrate the impact of market conditions on the spillovers between sentiment and ESG volatility. The conclusions of this study provide useful guidance for pro-ESG investors, policymakers, and companies.

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References

Abdollahi, H., Fjesme, S. L., & Sirnes, E. (2024). Measuring market volatility connectedness to media sentiment. The North American Journal of Economics and Finance, 71, 102091. https://doi.org/10.1016/j.najef.2024.102091 DOI: https://doi.org/10.1016/j.najef.2024.102091
View in Google Scholar

AlZaabi, S. A. (2021). Correlating sentiment in Reddit’s Wallstreetbets with the stock market using machine learning techniques. Rochester Institute of Technology [thesis].
View in Google Scholar

Albuquerque, R., Koskinen, Y., Yang, S., & Zhang, C. (2020). Resiliency of environmental and social stocks: An analysis of the exogenous COVID-19 market crash. The Review of Corporate Finance Studies, 9(3), 593–621. https://doi.org/10.1093/rcfs/cfaa011 DOI: https://doi.org/10.1093/rcfs/cfaa011
View in Google Scholar

Ando, T., Greenwood-Nimmo, M., & Shin, Y. (2022). Quantile connectedness: Modeling tail behavior in the topology of financial networks. Management Science, 68(4), 2401–2431. https://doi.org/10.1287/mnsc.2021.3984 DOI: https://doi.org/10.1287/mnsc.2021.3984
View in Google Scholar

Bannier, C. E., Bofinger, Y., & Rock, B. (2022). Corporate social responsibility and credit risk. Finance Research Letters, 44, 102052. https://doi.org/10.1016/j.frl.2021.102052 DOI: https://doi.org/10.1016/j.frl.2021.102052
View in Google Scholar

Baruník, J., & Křehlík, T. (2018). Measuring the frequency dynamics of financial connectedness and systemic risk. Journal of Financial Econometrics, 16(2), 271–296. https://doi.org/10.1093/jjfinec/nby001 DOI: https://doi.org/10.1093/jjfinec/nby001
View in Google Scholar

Bofinger, Y., Heyden, K. J., & Rock, B. (2022). Corporate social responsibility and market efficiency: Evidence from ESG and misvaluation measures. Journal of Banking & Finance, 134, 106322. https://doi.org/10.1016/j.jbankfin.2021.106322 DOI: https://doi.org/10.1016/j.jbankfin.2021.106322
View in Google Scholar

Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. https://doi.org/10.1016/0304-4076(86)90063-1 DOI: https://doi.org/10.1016/0304-4076(86)90063-1
View in Google Scholar

Boubaker, S., Liu, Z., & Zhan, Y. (2022). Customer relationships, corporate social responsibility, and stock price reaction: Lessons from China during health crisis times. Finance Research Letters, 47, 102699. https://doi.org/10.1016/j.frl.2022.102699 DOI: https://doi.org/10.1016/j.frl.2022.102699
View in Google Scholar

Broadstock, D. C., Chan, K., Cheng, L. T., & Wang, X. (2021). The role of ESG performance during times of financial crisis: Evidence from COVID-19 in China. Finance Research Letters, 38, 101716. https://doi.org/10.1016/j.frl.2020.101716 DOI: https://doi.org/10.1016/j.frl.2020.101716
View in Google Scholar

Caldara, D., & Iacoviello, M. (2022). Measuring geopolitical risk. American Economic Review, 112(4), 1194–1225. https://doi.org/10.1257/aer.20191823 DOI: https://doi.org/10.1257/aer.20191823
View in Google Scholar

Chen, H. Y., & Yang, S. S. (2020). Do investors exaggerate corporate ESG information? Evidence of the ESG momentum effect in the Taiwanese market. Pacific-Basin Finance Journal, 63, 101407. https://doi.org/10.1016/j.pacfin.2020.101407 DOI: https://doi.org/10.1016/j.pacfin.2020.101407
View in Google Scholar

Chen, Y., & Lin, B. (2022). Quantifying the extreme spillovers on worldwide ESG leaders’ equity. International Review of Financial Analysis, 84, 102425. https://doi.org/10.1016/j.irfa.2022.102425 DOI: https://doi.org/10.1016/j.irfa.2022.102425
View in Google Scholar

Cheng, R., Kim, H., & Ryu, D. (2024). ESG performance and firm value in the Chinese market. Investment Analysts Journal, 53(1), 1–15. https://doi.org/10.1080/10293523.2023.2218124 DOI: https://doi.org/10.1080/10293523.2023.2218124
View in Google Scholar

Chiu, C. W. J., Harris, R. D., Stoja, E., & Chin, M. (2018). Financial market volatility, macroeconomic fundamentals and investor sentiment. Journal of Banking & Finance, 92, 130–145. https://doi.org/10.1016/j.jbankfin.2018.05.003 DOI: https://doi.org/10.1016/j.jbankfin.2018.05.003
View in Google Scholar

Cunado, J., Chatziantoniou, I., Gabauer, D., de Gracia, F. P., & Hardik, M. (2023). Dynamic spillovers across precious metals and oil realized volatilities: Evidence from quantile extended joint connectedness measures. Journal of Commodity Markets, 30, 100327. https://doi.org/10.1016/j.jcomm.2023.100327 DOI: https://doi.org/10.1016/j.jcomm.2023.100327
View in Google Scholar

Da, Z., Engelberg, J., & Gao, P. (2011). In search of attention. The Journal of Finance, 66(5), 1461–1499. https://doi.org/10.1111/j.1540-6261.2011.01679.x DOI: https://doi.org/10.1111/j.1540-6261.2011.01679.x
View in Google Scholar

Daugaard, D. (2020). Emerging new themes in environmental, social and governance investing: A systematic literature review. Accounting & Finance, 60(2), 1501–1530. https://doi.org/10.1111/acfi.12479 DOI: https://doi.org/10.1111/acfi.12479
View in Google Scholar

Demers, E., Hendrikse, J., Joos, P., & Lev, B. (2021). ESG did not immunize stocks during the COVID‐19 crisis, but investments in intangible assets did. Journal of Business Finance & Accounting, 48(3–4), 433–462. https://doi.org/10.1111/jbfa.12523 DOI: https://doi.org/10.1111/jbfa.12523
View in Google Scholar

Dhasmana, S., Ghosh, S., & Kanjilal, K. (2023). Does investor sentiment influence ESG stock performance? Evidence from India. Journal of Behavioral and Experimental Finance, 37, 100789. https://doi.org/10.1016/j.jbef.2023.100789 DOI: https://doi.org/10.1016/j.jbef.2023.100789
View in Google Scholar

Diebold, F. X., & Yilmaz, K. (2012). Better to give than to receive: Predictive directional measurement of volatility spillovers. International Journal of Forecasting, 28(1), 57–66. https://doi.org/10.1016/j.ijforecast.2011.02.006 DOI: https://doi.org/10.1016/j.ijforecast.2011.02.006
View in Google Scholar

Döttling, R., & Kim, S. (2024). Sustainability preferences under stress: Evidence from COVID-19. Journal of Financial and Quantitative Analysis, 59(2), 435–473. https://doi.org/10.1017/S0022109022001296 DOI: https://doi.org/10.1017/S0022109022001296
View in Google Scholar

Duc, D. T. V., Hoai, N. T., Nguyen, D. P., Anh, N. H., & Hai, H. H. (2024). Google Search intensity and stock returns in frontier markets: Evidence from the Vietnamese market. Economics and Business Review, 10(1), 30–56. https://doi.org/10.18559/ebr.2024.1.778 DOI: https://doi.org/10.18559/ebr.2024.1.778
View in Google Scholar

El Khoury, R., Alshater, M. M., Li, Y., & Xiong, X. (2024). Quantile time-frequency connectedness among G7 stock markets and clean energy markets. The Quarterly Review of Economics and Finance, 93, 7190. https://doi.org/10.1016/j.qref.2023.11.004 DOI: https://doi.org/10.1016/j.qref.2023.11.004
View in Google Scholar

El Ouadghiri, I., Guesmi, K., Peillex, J., & Ziegler, A. (2021). Public attention to environmental issues and stock market returns. Ecological Economics, 180, 106836. https://doi.org/10.1016/j.ecolecon.2020.106836 DOI: https://doi.org/10.1016/j.ecolecon.2020.106836
View in Google Scholar

El Oubani, A. (2022). Market efficiency dynamics during the COVID-19 pandemic. Revue des Etudes Multidisciplinaires en Sciences Economiques et Sociales, 7(2), 357–376. https://doi.org/10.48375/IMIST.PRSM/remses-v7i2.32041
View in Google Scholar

El Oubani, A. (2023). Complex adaptive behavior of investors to market dynamics: A PLS-SEM analysis. Journal of Applied Structural Equation Modeling, 7(2), 1–25. https://doi.org/10.47263/JASEM.7(2)03 DOI: https://doi.org/10.47263/JASEM.7(2)03
View in Google Scholar

El Oubani, A. (2024). Investor sentiment and sustainable investment: evidence from North African stock markets. Future Business Journal, 10(1), 68. https://doi.org/10.1186/s43093-024-00349-x DOI: https://doi.org/10.1186/s43093-024-00349-x
View in Google Scholar

El Oubani, A., & Lekhal, M. (2022). An agent-based model of financial market efficiency dynamics. Borsa Istanbul Review, 22(4), 699–710. https://doi.org/10.1016/j.bir.2021.10.005 DOI: https://doi.org/10.1016/j.bir.2021.10.005
View in Google Scholar

Engelhardt, N., Ekkenga, J., & Posch, P. (2021). ESG ratings and stock performance during the COVID-19 crisis. Sustainability, 13(13), 7133. https://doi.org/10.3390/su13137133 DOI: https://doi.org/10.3390/su13137133
View in Google Scholar

Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of UK inflation. Econometrica, 50, 987–1008. https://doi.org/10.2307/1912773 DOI: https://doi.org/10.2307/1912773
View in Google Scholar

Fama, E. F. (1970). Efficient capital markets: A review of theory an empirical work. Journal of Finance, 25(2), 383–417. https://doi.org/10.2307/2325486 DOI: https://doi.org/10.1111/j.1540-6261.1970.tb00518.x
View in Google Scholar

Ferrer, R., Shahzad, S. J. H., López, R., & Jareño, F. (2018). Time and frequency dynamics of connectedness between renewable energy stocks and crude oil prices. Energy Economics, 76, 1–20. https://doi.org/10.1016/j.eneco.2018.09.022 DOI: https://doi.org/10.1016/j.eneco.2018.09.022
View in Google Scholar

Ford, J. M., Gehricke, S. A., & Zhang, J. E. (2022). Option traders are concerned about climate risks: ESG ratings and short-term sentiment. Journal of Behavioral and Experimental Finance, 35, 100687. https://doi.org/10.1016/j.jbef.2022.100687 DOI: https://doi.org/10.1016/j.jbef.2022.100687
View in Google Scholar

Gao, Y., Li, Y., Zhao, C., & Wang, Y. (2022). Risk spillover analysis across worldwide ESG stock markets: New evidence from the frequency-domain. The North American Journal of Economics and Finance, 59, 101619. https://doi.org/10.1016/j.najef.2021.101619 DOI: https://doi.org/10.1016/j.najef.2021.101619
View in Google Scholar

Garel, A., & Petit-Romec, A. (2021). Investor rewards to environmental responsibility: Evidence from the COVID-19 crisis. Journal of Corporate Finance, 68, 101948. https://doi.org/10.1016/j.jcorpfin.2021.101948 DOI: https://doi.org/10.1016/j.jcorpfin.2021.101948
View in Google Scholar

Giannarakis, G., Partalidou, X., Zafeiriou, E., & Sariannidis, N. (2016). An analysis of United States on Dow Jones sustainability index. Investment Management and Financial Innovations 13(3), 353–361. http://dx.doi.org/10.21511/imfi.13(3-2).2016.07 DOI: https://doi.org/10.21511/imfi.13(3-2).2016.07
View in Google Scholar

Guo, P., & Shi, J. (2024). Geopolitical risks, investor sentiment and industry stock market volatility in China: Evidence from a quantile regression approach. The North American Journal of Economics and Finance, 72, 102139. https://doi.org/10.1016/j.najef.2024.102139 DOI: https://doi.org/10.1016/j.najef.2024.102139
View in Google Scholar

Haroon, O., & Rizvi, S. A. R. (2020). COVID-19: Media coverage and financial markets behavior—A sectoral inquiry. Journal of Behavioral and Experimental Finance, 27, 100343. https://doi.org/10.1016/j.jbef.2020.100343 DOI: https://doi.org/10.1016/j.jbef.2020.100343
View in Google Scholar

Hartzmark, S. M., & Sussman, A. B. (2019). Do investors value sustainability? A natural experiment examining ranking and fund flows. The Journal of Finance, 74(6), 2789–2837. https://doi.org/10.1111/jofi.12841 DOI: https://doi.org/10.1111/jofi.12841
View in Google Scholar

Isaak, M., & Lentz, W. (2020). Consumer preferences for sustainability in food and non-food horticulture production. Sustainability, 12(17), 7004. https://doi.org/10.3390/su12177004 DOI: https://doi.org/10.3390/su12177004
View in Google Scholar

Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics Letters, 6(3), 255–259. https://doi.org/10.1016/0165-1765(80)90024-5 DOI: https://doi.org/10.1016/0165-1765(80)90024-5
View in Google Scholar

Khan, M. A., Khan, A., Hassan, M. K., & Maraghini, M. P. (2024). Market response to environmental social and governance performance: A global analysis. Research in International Business and Finance, 67, 102131. https://doi.org/10.1016/j.ribaf.2023.102131 DOI: https://doi.org/10.1016/j.ribaf.2023.102131
View in Google Scholar

Klink, S., & Gonciarenko, S. (2017, April 19). Philips couples sustainability performance to interest rate of its new EUR 1 billion Revolving Credit Facility [Press release]. https://www.philips.com/a-w/about/news/archive/standard/news/press/2017/20170419-philips-couples-sustainability-performance-to-interest-rate-of-its-new-eur-1-billion-revolving-credit-facility.html
View in Google Scholar

Koop, G., Pesaran, M. H., & Potter, S. M. (1996). Impulse response analysis in nonlinear multivariate models. Journal of Econometrics, 74(1), 119–147. https://doi.org/10.1016/0304-4076(95)01753-4 DOI: https://doi.org/10.1016/0304-4076(95)01753-4
View in Google Scholar

Lei, H., Xue, M., Liu, H., & Ye, J. (2023). Precious metal as a safe haven for global ESG stocks: Portfolio implications for socially responsible investing. Resources Policy, 80, 103170. https://doi.org/10.1016/j.resourpol.2022.103170 DOI: https://doi.org/10.1016/j.resourpol.2022.103170
View in Google Scholar

Lekhal, M., & El Oubani, A. (2020). Does the adaptive market hypothesis explain the evolution of emerging markets efficiency? Evidence from the Moroccan financial market. Heliyon, 6(7), e04429. https://doi.org/10.1016/j.heliyon.2020.e04429 DOI: https://doi.org/10.1016/j.heliyon.2020.e04429
View in Google Scholar

Li, H., Zhang, X., & Zhao, Y. (2022). ESG and firm’s default risk. Finance Research Letters, 47, 102713. https://doi.org/10.1016/j.frl.2022.102713 DOI: https://doi.org/10.1016/j.frl.2022.102713
View in Google Scholar

Li, Y., Shi, Y., Shi, Y., Yi, S., & Zhang, W. (2023). COVID-19 vaccinations and risk spillovers: Evidence from Asia-Pacific stock markets. Pacific-Basin Finance Journal, 79, 102004. https://doi.org/10.1016/j.pacfin.2023.102004 DOI: https://doi.org/10.1016/j.pacfin.2023.102004
View in Google Scholar

Liao, Y., & Pan, Z. (2022). Extreme risk connectedness among global major financial institutions: Links to globalization and emerging market fear. Pacific-Basin Finance Journal, 76, 101862. https://doi.org/10.1016/j.pacfin.2022.101862 DOI: https://doi.org/10.1016/j.pacfin.2022.101862
View in Google Scholar

Lins, K. V., Servaes, H., & Tamayo, A. (2017). Social capital, trust, and firm performance: The value of corporate social responsibility during the financial crisis. The Journal of Finance, 72(4), 1785–1824. https://doi.org/10.1111/jofi.12505 DOI: https://doi.org/10.1111/jofi.12505
View in Google Scholar

Liu, L., Nemoto, N., & Lu, C. (2023). The Effect of ESG performance on the stock market during the COVID-19 Pandemic—Evidence from Japan. Economic Analysis and Policy, 79, 702–712. https://doi.org/10.1016/j.eap.2023.06.038 DOI: https://doi.org/10.1016/j.eap.2023.06.038
View in Google Scholar

Liu, Z., Wang, S., Liu, S., Yu, H., & Wang, H. (2022). Volatility risk premium, return predictability, and ESG sentiment: Evidence from China’s spots and options’ markets. Complexity, (1), 6813797. https://doi.org/10.1155/2022/6813797 DOI: https://doi.org/10.1155/2022/6813797
View in Google Scholar

Lo, A. W. (2004). The adaptive markets hypothesis. The Journal of Portfolio Management, 30(5), 15–29. https://doi.org/10.3905/jpm.2004.442611 DOI: https://doi.org/10.3905/jpm.2004.442611
View in Google Scholar

Londono, J. M. (2019). Bad bad contagion. Journal of Banking & Finance, 108, 105652. https://doi.org/10.1016/j.jbankfin.2019.105652 DOI: https://doi.org/10.1016/j.jbankfin.2019.105652
View in Google Scholar

López-Cabarcos, M. Á., Pérez-Pico, A. M., & López-Pérez, M. L. (2019). Does social network sentiment influence S&P 500 Environmental & Socially Responsible Index? Sustainability, 11(2), 320. https://doi.org/10.3390/su11020320 DOI: https://doi.org/10.3390/su11020320
View in Google Scholar

Mensi, W., Al-Yahyaee, K. H., Vo, X. V., & Kang, S. H. (2021). Modeling the frequency dynamics of spillovers and connectedness between crude oil and MENA stock markets with portfolio implications. Economic Analysis and Policy, 71, 397–419. https://doi.org/10.1016/j.eap.2021.06.001 DOI: https://doi.org/10.1016/j.eap.2021.06.001
View in Google Scholar

Murata, R., & Hamori, S. (2021). ESG disclosures and stock price crash risk. Journal of Risk and Financial Management, 14(2), 70. https://doi.org/10.3390/jrfm14020070 DOI: https://doi.org/10.3390/jrfm14020070
View in Google Scholar

Naeem, M. A., Farid, S., Faruk, B., & Shahzad, S. J. H. (2020). Can happiness predict future volatility in stock markets? Research in International Business and Finance, 54, 101298. https://doi.org/10.1016/j.ribaf.2020.101298 DOI: https://doi.org/10.1016/j.ribaf.2020.101298
View in Google Scholar

Naeem, M. A., Yousaf, I., Karim, S., Tiwari, A. K., & Farid, S. (2023). Comparing asymmetric price efficiency in regional ESG markets before and during COVID-19. Economic Modelling, 118, 106095. https://doi.org/10.1016/j.econmod.2022.106095 DOI: https://doi.org/10.1016/j.econmod.2022.106095
View in Google Scholar

Nofsinger, J. R., Sulaeman, J., & Varma, A. (2019). Institutional investors and corporate social responsibility. Journal of Corporate Finance, 58, 700–725. https://doi.org/10.1016/j.jcorpfin.2019.07.012 DOI: https://doi.org/10.1016/j.jcorpfin.2019.07.012
View in Google Scholar

Nofsinger, J., & Varma, A. (2014). Socially responsible funds and market crises. Journal of Banking & Finance, 48, 180–193. https://doi.org/10.1016/j.jbankfin.2013.12.016 DOI: https://doi.org/10.1016/j.jbankfin.2013.12.016
View in Google Scholar

Nyakurukwa, K., & Seetharam, Y. (2023a). Investor reaction to ESG news sentiment: Evidence from South Africa. Economia, 24(1), 68–85. https://doi.org/10.1108/ECON-09-2022-0126 DOI: https://doi.org/10.1108/ECON-09-2022-0126
View in Google Scholar

Nyakurukwa, K., & Seetharam, Y. (2023b). The evolution of studies on social media sentiment in the stock market: Insights from bibliometric analysis. Scientific African, 20, e01596. https://doi.org/10.1016/j.sciaf.2023.e01596 DOI: https://doi.org/10.1016/j.sciaf.2023.e01596
View in Google Scholar

Nyakurukwa, K., & Seetharam, Y. (2024). Sentimental showdown: News media vs. social media in stock markets. Heliyon, 10(9). e30211. https://doi.org/10.1016/j.heliyon.2024.e30211 DOI: https://doi.org/10.1016/j.heliyon.2024.e30211
View in Google Scholar

Ortas, E., Moneva, J. M., & Salvador, M. (2014). Do social and environmental screens influence ethical portfolio performance? Evidence from Europe. BRQ Business Research Quarterly, 17(1), 11–21. https://doi.org/10.1016/j.cede.2012.11.001 DOI: https://doi.org/10.1016/j.cede.2012.11.001
View in Google Scholar

Paramanik, R. N., & Singhal, V. (2020). Sentiment analysis of Indian stock market volatility. Procedia Computer Science, 176, 330–338. https://doi.org/10.1016/j.procs.2020.08.035 DOI: https://doi.org/10.1016/j.procs.2020.08.035
View in Google Scholar

Pedini, L., & Severini, S. (2022). Exploring the hedge, diversifier and safe haven properties of ESG investments: A cross-quantilogram analysis. MPRA Paper, 112339. University Library of Munich, Germany. https://ideas.repec.org/p/pra/mprapa/112339.html
View in Google Scholar

Pesaran, H. H., & Shin, Y. (1998). Generalized impulse response analysis in linear multivariate models. Economics Letters, 58(1), 17–29. https://doi.org/10.1016/S0165-1765(97)00214-0 DOI: https://doi.org/10.1016/S0165-1765(97)00214-0
View in Google Scholar

PH, H., & Rishad, A. (2020). An empirical examination of investor sentiment and stock market volatility: Evidence from India. Financial Innovation, 6(1), 1–15. https://doi.org/10.1186/s40854-020-00198-x DOI: https://doi.org/10.1186/s40854-020-00198-x
View in Google Scholar

Pitoska, E., Katarachia, A., Giannarakis, G., & Tsilikas, C. (2017). An analysis of determinants affecting the returns of Dow Jones sustainability index United States. International Journal of Economics and Financial Issues, 7(3), 113–118. https://dergipark.org.tr/en/pub/ijefi/issue/32021/354207
View in Google Scholar

Raimo, N., Caragnano, A., Zito, M., Vitolla, F., & Mariani, M. (2021). Extending the benefits of ESG disclosure: The effect on the cost of debt financing. Corporate Social Responsibility and Environmental Management, 28(4), 1412–1421. https://doi.org/10.1002/csr.2134 DOI: https://doi.org/10.1002/csr.2134
View in Google Scholar

Ren, X., Cao, Y., Liu, P. J., & Han, D. (2023). Does geopolitical risk affect firms’ idiosyncratic volatility? Evidence from China. International Review of Financial Analysis, 90, 102843. https://doi.org/10.1016/j.irfa.2023.102843 DOI: https://doi.org/10.1016/j.irfa.2023.102843
View in Google Scholar

Rubbaniy, G., Khalid, A. A., Rizwan, M. F., & Ali, S. (2022). Are ESG stocks safe-haven during COVID-19? Studies in Economics and Finance, 39(2), 239–255. https://doi.org/10.1108/SEF-08-2021-0320 DOI: https://doi.org/10.1108/SEF-08-2021-0320
View in Google Scholar

Sabbaghi, O. (2022). The impact of news on the volatility of ESG firms. Global Finance Journal, 51, 100570. https://doi.org/10.1016/j.gfj.2020.100570 DOI: https://doi.org/10.1016/j.gfj.2020.100570
View in Google Scholar

Shakil, M. H. (2021). Environmental, social and governance performance and financial risk: Moderating role of ESG controversies and board gender diversity. Resources Policy, 72, 102144. https://doi.org/10.1016/j.resourpol.2021.102144 DOI: https://doi.org/10.1016/j.resourpol.2021.102144
View in Google Scholar

Sheikh, U. A., Asadi, M., Roubaud, D., & Hammoudeh, S. (2024). Global uncertainties and Australian financial markets: Quantile time-frequency connectedness. International Review of Financial Analysis, 92, 103098. https://doi.org/10.1016/j.irfa.2024.103098 DOI: https://doi.org/10.1016/j.irfa.2024.103098
View in Google Scholar

Shi, Y., & Ho, K. Y. (2015). Long memory and regime switching: A simulation study on the Markov regime-switching ARFIMA model. Journal of Banking & Finance, 61, S189–S204. https://doi.org/10.1016/j.jbankfin.2015.08.025 DOI: https://doi.org/10.1016/j.jbankfin.2015.08.025
View in Google Scholar

Shiller, R. J. (1981). Do stock prices move too much to be justified by subsequent changes in dividends? The American Economic Review, 71(3), 421–436. https://www.aeaweb.org/aer/top20/71.3.421-436.pdf?mod=article_inline
View in Google Scholar

Shutes, K., McGrath, K., Lis, P., & Riegler, R. (2016). Twitter and the US stock market: The influence of microbloggers on share prices. Economics and Business Review, 2(3), 57–77. https://doi.org/10.18559/ebr.2016.3.5 DOI: https://doi.org/10.18559/ebr.2016.3.5
View in Google Scholar

Siganos, A., Vagenas-Nanos, E., & Verwijmeren, P. (2017). Divergence of sentiment and stock market trading. Journal of Banking & Finance, 78, 130–141. https://doi.org/10.1016/j.jbankfin.2017.02.005 DOI: https://doi.org/10.1016/j.jbankfin.2017.02.005
View in Google Scholar

Simon, H. A. (1982). Models of bounded rationality and other topics in economics (vol. 2). MIT Press.
View in Google Scholar

Sohag, K., Hammoudeh, S., Elsayed, A. H., Mariev, O., & Safonova, Y. (2022). Do geopolitical events transmit opportunity or threat to green markets? Decomposed measures of geopolitical risks. Energy Economics, 111, 106068. https://doi.org/10.1016/j.eneco.2022.106068 DOI: https://doi.org/10.1016/j.eneco.2022.106068
View in Google Scholar

Suleman, M. T., Tabash, M. I., & Sheikh, U. A. (2024). Do stock market fluctuations lead to currency deflation in the South Asian region? Evidence beyond symmetry. International Journal of Finance & Economics, 29(2), 1432–1450. https://doi.org/10.1002/ijfe.2746 DOI: https://doi.org/10.1002/ijfe.2746
View in Google Scholar

Taghizadeh-Hesary, F., & Rasoulinezhad, E. (2023). 97 An empirical assessment of ways to achieve a green economic recovery in the post-pandemic era in ASEAN. In F. Taghizadeh-Hesary, N. Yoshino, N. Panthamit, H. Phoumin (Eds.), Post-pandemic green recovery in ASEAN (pp. 97–116). Routledge. DOI: https://doi.org/10.4324/9781003324386-8
View in Google Scholar

Tversky, A., & Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases: Biases in judgments reveal some heuristics of thinking under uncertainty. Science, 185(4157), 1124–1131. https://doi.org/10.1126/science.185.4157.1124 DOI: https://doi.org/10.1126/science.185.4157.1124
View in Google Scholar

Umar, Z., Gubareva, M., Tran, D. K., & Teplova, T. (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, 58, 101493. https://doi.org/10.1016/j.ribaf.2021.101493 DOI: https://doi.org/10.1016/j.ribaf.2021.101493
View in Google Scholar

Vuong, N. B. (2022). Investor sentiment, corporate social responsibility, and financial performance: Evidence from Japanese companies. Borsa Istanbul Review, 22(5), 911–924. https://doi.org/10.1016/j.bir.2022.06.010 DOI: https://doi.org/10.1016/j.bir.2022.06.010
View in Google Scholar

Wan, J., Yin, L., & Wu, Y. (2024). Return and volatility connectedness across global ESG stock indexes: Evidence from the time-frequency domain analysis. International Review of Economics & Finance, 89, 397–428. https://doi.org/10.1016/j.iref.2023.10.038 DOI: https://doi.org/10.1016/j.iref.2023.10.038
View in Google Scholar

Wang, H., Xu, L., & Sharma, S. S. (2021). Does investor attention increase stock market volatility during the COVID-19 pandemic? Pacific-Basin Finance Journal, 69, 101638. https://doi.org/10.1016/j.pacfin.2021.101638 DOI: https://doi.org/10.1016/j.pacfin.2021.101638
View in Google Scholar

Wang, W., Sun, Z., Wang, W., Hua, Q., & Wu, F. (2023). The impact of environmental uncertainty on ESG performance: Emotional vs. rational. Journal of Cleaner Production, 397, 136528. https://doi.org/10.1016/j.jclepro.2023.136528 DOI: https://doi.org/10.1016/j.jclepro.2023.136528
View in Google Scholar

Wei, Y., Zhang, Y., & Wang, Y. (2022). Information connectedness of international crude oil futures: Evidence from SC, WTI, and Brent. International Review of Financial Analysis, 81, 102100. https://doi.org/10.1016/j.irfa.2022.102100 DOI: https://doi.org/10.1016/j.irfa.2022.102100
View in Google Scholar

Willett, T. D. (2024). Some implications of behavioral finance for international monetary analysis. Economics and Business Review, 10(1), 7–29. https://doi.org/10.18559/ebr.2024.1.1193 DOI: https://doi.org/10.18559/ebr.2024.1.1193
View in Google Scholar

Wu, Y., Ren, W., Wan, J., & Liu, X. (2023). Time-frequency volatility connectedness between fossil energy and agricultural commodities: Comparing the COVID-19 pandemic with the Russia-Ukraine conflict. Finance Research Letters, 55, 103866. https://doi.org/10.1016/j.frl.2023.103866 DOI: https://doi.org/10.1016/j.frl.2023.103866
View in Google Scholar

Yang, J., Agyei, S. K., Bossman, A., Gubareva, M., & Marfo-Yiadom, E. (2024). Energy, metals, market uncertainties, and ESG stocks: Analysing predictability and safe havens. The North American Journal of Economics and Finance, 69, 102030. https://doi.org/10.1016/j.najef.2023.102030 DOI: https://doi.org/10.1016/j.najef.2023.102030
View in Google Scholar

Yu, H., Liang, C., Liu, Z., & Wang, H. (2023). News-based ESG sentiment and stock price crash risk. International Review of Financial Analysis, 88, 102646. https://doi.org/10.1016/j.irfa.2023.102646 DOI: https://doi.org/10.1016/j.irfa.2023.102646
View in Google Scholar

Zhan, J. X., & Santos-Paulino, A. U. (2021). Investing in the Sustainable Development Goals: Mobilization, channeling, and impact. Journal of International Business Policy, 4(1), 166–183. https://doi.org/10.1057%2Fs42214-020-00093-3 DOI: https://doi.org/10.1057/s42214-020-00093-3
View in Google Scholar

Zhang, A. Y., & Zhang, J. H. (2023). Renovation in environmental, social and governance (ESG) research: The application of machine learning. Asian Review of Accounting. https://doi.org/10.1108/ARA-07-2023-0201 DOI: https://doi.org/10.1108/ARA-07-2023-0201
View in Google Scholar

Zribi, W., Boufateh, T., Lahouel, B. B., & Urom, C. (2024). Uncertainty shocks, investor sentiment and environmental performance: Novel evidence from a PVAR approach. International Review of Financial Analysis, 93, 103196. https://doi.org/10.1016/j.irfa.2024.103196 DOI: https://doi.org/10.1016/j.irfa.2024.103196
View in Google Scholar

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2024-09-26 — Updated on 2024-09-30

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El Oubani, A. (2024). Quantile connectedness between social network sentiment and sustainability index volatility: Evidence from the Moroccan financial market. Economics and Business Review, 10(3), 163-196. https://doi.org/10.18559/ebr.2024.3.1200 (Original work published 2024)

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