IDEAS home Printed from https://ideas.repec.org/a/kap/apfinm/v30y2023i4d10.1007_s10690-023-09398-8.html
   My bibliography  Save this article

Does G7 Engross the Shock of COVID 19: An Assessment with Market Volatility?

Author

Listed:
  • Nupur Moni Das

    (Sri Sri University)

  • Bhabani Sankar Rout

    (Siksha ‘O’ Anusandhan (Deemed to be University))

  • Yashmin Khatun

    (National Institute of Technology)

Abstract

The paper has emphasized on the downside potential of the stock market faced by G-7 countries in the times of COVID-19 relative to other economic crises. The results of VaR models, ES, and correlation suggests that most of the nations in G-7 group experienced highest risk during COVID-19 relative to other regimes and also increased inter-linkage of different markets within the group is visible during this period. The work can definitely be a reference to the investors for taking investment decisions as well as the governments and regulators for framing policies to keep the market stable by clinging to the policies of those markets which has managed to stay stable even at turbulent times. Moreover, the group as a whole can also rethink of policy measures together to beat the crisis.

Suggested Citation

  • Nupur Moni Das & Bhabani Sankar Rout & Yashmin Khatun, 2023. "Does G7 Engross the Shock of COVID 19: An Assessment with Market Volatility?," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(4), pages 795-816, December.
    • Handle: RePEc:kap:apfinm:v:30:y:2023:i:4:d:10.1007_s10690-023-09398-8
    DOI: 10.1007/s10690-023-09398-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10690-023-09398-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10690-023-09398-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Stefano Ramelli & Alexander F Wagner, 2020. "Feverish Stock Price Reactions to COVID-19," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 9(3), pages 622-655.
    2. Darryll Hendricks, 1996. "Evaluation of value-at-risk models using historical data," Proceedings 512, Federal Reserve Bank of Chicago.
    3. Narayan, Seema & Smyth, Russell, 2015. "The financial econometrics of price discovery and predictability," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 380-393.
    4. Mohamed Zouaoui & Geneviève Nouyrigat & Francisca Beer, 2011. "How does investor sentiment affect stock market crises?Evidence from panel data," Working Papers CREGO 1110304, Université de Bourgogne - CREGO EA7317 Centre de recherches en gestion des organisations.
    5. George M. von Furstenberg & Bang Nam Jeon, 1989. "International Stock Price Movements: Links and Messages," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 20(1), pages 125-180.
    6. Mohamed Zouaoui & Geneviève Nouyrigat & Francisca Beer, 2011. "How Does Investor Sentiment Affect Stock Market Crises? Evidence from Panel Data," The Financial Review, Eastern Finance Association, vol. 46(4), pages 723-747, November.
    7. BenSaïda, Ahmed & Litimi, Houda & Abdallah, Oussama, 2018. "Volatility spillover shifts in global financial markets," Economic Modelling, Elsevier, vol. 73(C), pages 343-353.
    8. Boyle, Phelim P., 1977. "Options: A Monte Carlo approach," Journal of Financial Economics, Elsevier, vol. 4(3), pages 323-338, May.
    9. Douglas J. Miller & Wei‐Han Liu, 2006. "Improved estimation of portfolio value‐at‐risk under copula models with mixed marginals," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(10), pages 997-1018, October.
    10. Gupta, Rakesh & Guidi, Francesco, 2012. "Cointegration relationship and time varying co-movements among Indian and Asian developed stock markets," International Review of Financial Analysis, Elsevier, vol. 21(C), pages 10-22.
    11. Cheng, Tingting & Liu, Junli & Yao, Wenying & Zhao, Albert Bo, 2022. "The impact of COVID-19 pandemic on the volatility connectedness network of global stock market," Pacific-Basin Finance Journal, Elsevier, vol. 71(C).
    12. Kusumahadi, Teresia Angelia & Permana, Fikri C, 2021. "Impact of COVID-19 on Global Stock Market Volatility," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 36(1), pages 20-45.
    13. Donadelli, Michael & Kizys, Renatas & Riedel, Max, 2017. "Dangerous infectious diseases: Bad news for Main Street, good news for Wall Street?," Journal of Financial Markets, Elsevier, vol. 35(C), pages 84-103.
    14. Juanjuan Zhuo & Masao Kumamoto, 2020. "Stock market reactions to COVID-19 and containment policies: A panel VAR approach," Economics Bulletin, AccessEcon, vol. 40(4), pages 3296-3305.
    15. Agmon, Tamir, 1972. "The Relations Among Equity Markets: A Study of Share Price Co-Movements in the United States, United Kingdom, Germany and Japan," Journal of Finance, American Finance Association, vol. 27(4), pages 839-855, September.
    16. Susan Thomas & Mandira Sarma & Ajay Shah, 2003. "Selection of Value-at-Risk models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(4), pages 337-358.
    17. Darryll Hendricks, 1996. "Evaluation of value-at-risk models using historical data," Economic Policy Review, Federal Reserve Bank of New York, vol. 2(Apr), pages 39-69.
    18. Natarajana, Vinodh & Raja , Azariah & Priyac, Nagarajan, 2014. "Examining mean-volatility spillovers across national stock markets," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 19(36), pages 55-62.
    19. Yun Feng & Xin Li, 2022. "Causal estimation of COVID-19 and SARS on China's stock market: evidence from a time series counterfactual prediction," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 1734-1751, December.
    20. Mohamed Zouaoui & G. Nouyrigat & F. Beer, 2011. "How Does Investor Sentiment Affect StockMarket Crises? Evidence from Panel Data," Post-Print halshs-00785809, HAL.
    21. repec:bla:jfinan:v:59:y:2004:i:4:p:1481-1509 is not listed on IDEAS
    22. Yanli Huo & Chunhui Xu & Takayuki Shiina, 2020. "Modeling and solving portfolio selection problems based on PVaR," Quantitative Finance, Taylor & Francis Journals, vol. 20(12), pages 1889-1898, December.
    23. Onur Polat, 2022. "High-frequency stock market connectedness in G-7: evidence from time-frequency domains," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 24(1/2), pages 16-28.
    24. Khan, Saleheen & Park, Kwang Woo (Ken), 2009. "Contagion in the stock markets: The Asian financial crisis revisited," Journal of Asian Economics, Elsevier, vol. 20(5), pages 561-569, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Subhash Karmakar & Gautam Bandyopadhyay & Jayanta Nath Mukhopadhyay, 2024. "Systemic Risk in Indian Financial Institutions: A Probabilistic Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(3), pages 579-656, September.
    2. Muntazir Hussain & Usman Bashir & Ramiz Ur Rehman, 2024. "Exchange Rate and Stock Prices Volatility Connectedness and Spillover during Pandemic Induced-Crises: Evidence from BRICS Countries," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(1), pages 183-203, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bhanwar Singh & Rosy Dhall & Sahil Narang & Savita Rawat, 2024. "The Outbreak of COVID-19 and Stock Market Responses: An Event Study and Panel Data Analysis for G-20 Countries," Global Business Review, International Management Institute, vol. 25(3), pages 606-631, June.
    2. Cervantes, Paula & Díaz, Antonio & Esparcia, Carlos & Huélamo, Diego, 2022. "The impact of COVID-19 induced panic on stock market returns: A two-year experience," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 1075-1097.
    3. Tihana Škrinjarić, 2021. "Profiting on the Stock Market in Pandemic Times: Study of COVID-19 Effects on CESEE Stock Markets," Mathematics, MDPI, vol. 9(17), pages 1-20, August.
    4. Betül Kalaycı & Ayşe Özmen & Gerhard-Wilhelm Weber, 2020. "Mutual relevance of investor sentiment and finance by modeling coupled stochastic systems with MARS," Annals of Operations Research, Springer, vol. 295(1), pages 183-206, December.
    5. Yide Wang & Chao Yu & Xujie Zhao, 2023. "Does herding effect help forecast market volatility?—Evidence from the Chinese stock market," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1275-1290, August.
    6. Tao Chen & Erin P. K. So & Isabel K. M. Yan, 2021. "Are crises sentimental?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 962-985, January.
    7. Godfrey Marozva & Margaret Rutendo Magwedere, 2021. "Nexus Between Stock Returns, Funding Liquidity and COVID-19," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 71(3-4), pages 86-100, July-Dece.
    8. Bildirici, Melike E. & Badur, Mesut M., 2019. "The effects of oil and gasoline prices on confidence and stock return of the energy companies for Turkey and the US," Energy, Elsevier, vol. 173(C), pages 1234-1241.
    9. Agoraki, Maria-Eleni K. & Aslanidis, Nektarios & Kouretas, Georgios P., 2022. "U.S. banks’ lending, financial stability, and text-based sentiment analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 73-90.
    10. Deven Bathia & Don Bredin & Dirk Nitzsche, 2016. "International Sentiment Spillovers in Equity Returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(4), pages 332-359, October.
    11. Dash, Saumya Ranjan & Maitra, Debasish, 2019. "The relationship between emerging and developed market sentiment: A wavelet-based time-frequency analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 135-150.
    12. Chia-Hao Lee & Pei-I Chou, 2012. "Trading Activity and Financial Market Integration," The Financial Review, Eastern Finance Association, vol. 47(3), pages 589-616, August.
    13. Tariq Aziz & Valeed Ahmad Ansari, 2021. "How Does Google Search Affect the Stock Market? Evidence from Indian Companies," Vision, , vol. 25(2), pages 224-232, June.
    14. Li, Yingqi & Mittoo, Usha R. & Yu, Xin & Zhang, Zhou, 2021. "The impact of global financial crisis on regulation S private debt market," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 231-248.
    15. Deven Bathia & Don Bredin, 2013. "An examination of investor sentiment effect on G7 stock market returns," The European Journal of Finance, Taylor & Francis Journals, vol. 19(9), pages 909-937, October.
    16. Tihana Škrinjarić, 2022. "Higher Moments Actually Matter: Spillover Approach for Case of CESEE Stock Markets," Mathematics, MDPI, vol. 10(24), pages 1-34, December.
    17. Biswajit Patra & Puja Padhi, 2015. "Backtesting of Value at Risk Methodology: Analysis of Banking Shares in India," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 9(3), pages 254-277, August.
    18. Karavias, Yiannis & Spilioti, Stella & Tzavalis, Elias, 2016. "A comparison of investors’ sentiments and risk premium effects on valuing shares," Finance Research Letters, Elsevier, vol. 17(C), pages 1-6.
    19. Reis, Pedro Manuel Nogueira & Pinho, Carlos, 2020. "A new European investor sentiment index (EURsent) and its return and volatility predictability," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    20. Goodell, John W. & Kumar, Satish & Lahmar, Oumaima & Pandey, Nitesh, 2023. "A bibliometric analysis of cultural finance," International Review of Financial Analysis, Elsevier, vol. 85(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:apfinm:v:30:y:2023:i:4:d:10.1007_s10690-023-09398-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.