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Relationship among Covid-19, stock price and green finance markets pragmatic evidence from volatility dynamics

Author

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  • Cong Ma

    (Guangxi University of Science and Technology)

  • Mui Yee Cheok

    (Universiti Tun Abdul Razak)

Abstract

This paper aims to map the effects of the rapid spread of coronavirus (COVID-19) on stock price dynamics and markets selections based on data from March 22, 2021, to September 20, 2021. Options markets from 2020 to 2021, multiple kinds of critical COVID-19 data. The proposed hypothetical modal considers investors' behavior and errors caused by the level of sentiment elicited for stock markets and green categories. This paper another element (1) Covid-19 (2) feeling, and (3) networking websites, for example, Covid-19 influence on the green size, green direction, and impact on securities prices. This paper used google search data work also creates a proxy for emotions dependent on five main categories of Data: (1) Covid-19, pandemic effect (2) markets, (3) lockdown, (4) banking and government aid. Moreover, this paper Use (a) VIX index sentiment, (b) S& The P 500 index is a measure of how well a sentiment (c) Sentiment in the S& amp;P 500 bank index. The Projected to empirical Finding follow First Level during the Covid-19, effect on jump volatility, and variability level in persistence on the green stock market exceeds that on the options market. VIX index green financial level increases with the COVID green financial level increase with the COVID-19 market index, index banking index and lockdown index. Therefore, it concluded the Share market statistic, COVID-19 benchmark, and long-run volatility. The fraction of the leap government assistance reduced. We find that the outbreak of the Pandemic of COVID-19 effects of the S&P 500 Index and S&P 500 Banks Index decrease with highest values (39%) but only after a surge in volatility covid-19 Pandemic. These results comply with our model's expectations.

Suggested Citation

  • Cong Ma & Mui Yee Cheok, 2023. "Relationship among Covid-19, stock price and green finance markets pragmatic evidence from volatility dynamics," Economic Change and Restructuring, Springer, vol. 56(1), pages 265-295, February.
  • Handle: RePEc:kap:ecopln:v:56:y:2023:i:1:d:10.1007_s10644-021-09379-9
    DOI: 10.1007/s10644-021-09379-9
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    References listed on IDEAS

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    1. Josue Cox & Daniel L. Greenwald & Sydney C. Ludvigson, 2020. "What Explains the COVID-19 Stock Market?," NBER Working Papers 27784, National Bureau of Economic Research, Inc.
    2. Lei Li & Philip E. Strahan & Song Zhang, 2020. "Banks as Lenders of First Resort: Evidence from the COVID-19 Crisis," NBER Working Papers 27256, National Bureau of Economic Research, Inc.
    3. Zhi Da & Joseph Engelberg & Pengjie Gao, 2015. "Editor's Choice The Sum of All FEARS Investor Sentiment and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 1-32.
    4. Arif, Muhammad & Hasan, Mudassar & Alawi, Suha M. & Naeem, Muhammad Abubakr, 2021. "COVID-19 and time-frequency connectedness between green and conventional financial markets," Global Finance Journal, Elsevier, vol. 49(C).
    5. Zhang, Jia-Bing & Gao, Ya-Chun & Cai, Shi-Min, 2020. "The hierarchical structure of stock market in times of global financial crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    6. Bekaert, Geert & Hoerova, Marie, 2014. "The VIX, the variance premium and stock market volatility," Journal of Econometrics, Elsevier, vol. 183(2), pages 181-192.
    7. Andersen, Torben G & Bollerslev, Tim, 1998. "Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 885-905, November.
    8. Ian Martin, 2011. "Simple Variance Swaps," NBER Working Papers 16884, National Bureau of Economic Research, Inc.
    9. Acharya, Viral & Engle, Robert & Steffen, Sascha, 2021. "Why did bank stocks crash during COVID-19?," CEPR Discussion Papers 15901, C.E.P.R. Discussion Papers.
    10. Lei Li & Philip E Strahan & Song Zhang, 2020. "Banks as Lenders of First Resort: Evidence from the COVID-19 Crisis," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 9(3), pages 472-500.
    11. Andersen, Torben G. & Bollerslev, Tim & Lange, Steve, 1999. "Forecasting financial market volatility: Sample frequency vis-a-vis forecast horizon," Journal of Empirical Finance, Elsevier, vol. 6(5), pages 457-477, December.
    12. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Ebens, Heiko, 2001. "The distribution of realized stock return volatility," Journal of Financial Economics, Elsevier, vol. 61(1), pages 43-76, July.
    13. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    14. Jordan Ngu Chuan Yong & Sayyed Mahdi Ziaei & Kenneth R. Szulczyk, 2021. "The Impact of Covid-19 Pandemic on Stock Market Return Volatility: Evidence from Malaysia and Singapore," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 11(3), pages 191-204, March.
    15. Jordan Ngu Chuan Yong & Sayyed Mahdi Ziaei & Kenneth R Szulczyk, 2021. "The Impact of Covid-19 Pandemic on Stock Market Return Volatility: Evidence from Malaysia and Singapore," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 11(3), pages 191-204.
    16. K. Victor Chow & Wanjun Jiang & Bingxin Li & Jingrui Li, 2020. "Decomposing the VIX: Implications for the predictability of stock returns," The Financial Review, Eastern Finance Association, vol. 55(4), pages 645-668, November.
    17. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    18. Yoshino, Naoyuki & Taghizadeh-Hesary, Farhad & Otsuka, Miyu, 2021. "Covid-19 and Optimal Portfolio Selection for Investment in Sustainable Development Goals," Finance Research Letters, Elsevier, vol. 38(C).
    19. Michael Lemmon & Sophie Xiaoyan Ni, 2014. "Differences in Trading and Pricing Between Stock and Index Options," Management Science, INFORMS, vol. 60(8), pages 1985-2001, August.
    20. Laura Alfaro & Anusha Chari & Andrew N. Greenland & Peter K. Schott, 2020. "Aggregate and Firm-Level Stock Returns During Pandemics, in Real Time," NBER Working Papers 26950, National Bureau of Economic Research, Inc.
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