IDEAS home Printed from https://ideas.repec.org/a/gam/jrisks/v11y2023i5p94-d1148464.html
   My bibliography  Save this article

COVID-19 Media Chatter and Macroeconomic Reflectors on Black Swan: A Spanish and Indian Stock Markets Comparison

Author

Listed:
  • Indranil Ghosh

    (IT & Analytics Area, Institute of Management Technology Hyderabad, Shamshabad, Hyderabad 501218, Telangana, India)

  • Esteban Alfaro-Cortés

    (Quantitative Methods and Socio-Economic Development Group, Institute for Regional Development (IDR), University of Castilla-La Mancha (UCLM), 02071 Albacete, Spain)

  • Matías Gámez

    (Quantitative Methods and Socio-Economic Development Group, Institute for Regional Development (IDR), University of Castilla-La Mancha (UCLM), 02071 Albacete, Spain)

  • Noelia García-Rubio

    (Faculty of Economics and Business Administration, University of Castilla-La Mancha (UCLM), 02071 Albacete, Spain)

Abstract

Predictive analytics of financial markets in developed and emerging economies during the COVID-19 regime is undeniably challenging due to unavoidable uncertainty and the profound proliferation of negative news on different platforms. Tracking the media echo is crucial to explaining and anticipating the abrupt fluctuations in financial markets. The present research attempts to propound a robust framework capable of channeling macroeconomic reflectors and essential media chatter-linked variables to draw precise forecasts of future figures for Spanish and Indian stock markets. The predictive structure combines Isometric Mapping (ISOMAP), which is a non-linear feature transformation tool, and Gradient Boosting Regression (GBR), which is an ensemble machine learning technique to perform predictive modelling. The Explainable Artificial Intelligence (XAI) is used to interpret the black-box type predictive model to infer meaningful insights. The overall results duly justify the incorporation of local and global media chatter indices in explaining the dynamics of respective financial markets. The findings imply marginally better predictability of Indian stock markets than their Spanish counterparts. The current work strives to compare and contrast the reaction of developed and developing financial markets during the COVID-19 pandemic, which has been argued to share a close resemblance to the Black Swan event when applying a robust research framework. The insights linked to the dependence of stock markets on macroeconomic indicators can be leveraged for policy formulations for augmenting household finance.

Suggested Citation

  • Indranil Ghosh & Esteban Alfaro-Cortés & Matías Gámez & Noelia García-Rubio, 2023. "COVID-19 Media Chatter and Macroeconomic Reflectors on Black Swan: A Spanish and Indian Stock Markets Comparison," Risks, MDPI, vol. 11(5), pages 1-27, May.
    • Handle: RePEc:gam:jrisks:v:11:y:2023:i:5:p:94-:d:1148464
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-9091/11/5/94/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-9091/11/5/94/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yousfi, Mohamed & Ben Zaied, Younes & Ben Cheikh, Nidhaleddine & Ben Lahouel, Béchir & Bouzgarrou, Houssem, 2021. "Effects of the COVID-19 pandemic on the US stock market and uncertainty: A comparative assessment between the first and second waves," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    2. Umara Noreen & Attayah Shafique & Usman Ayub & Syed Kashif Saeed, 2022. "Does the Adaptive Market Hypothesis Reconcile the Behavioral Finance and the Efficient Market Hypothesis?," Risks, MDPI, vol. 10(9), pages 1-14, August.
    3. Xiaoling Yu & Kaitian Xiao, 2022. "Dependencies and Volatility Spillovers among Chinese Stock and Crude Oil Future Markets: Evidence from Time-Varying Copula and BEKK-GARCH Models," JRFM, MDPI, vol. 15(11), pages 1-18, October.
    4. Drake, Pamela Peterson, 2022. "The gold-stock market relationship during COVID-19," Finance Research Letters, Elsevier, vol. 44(C).
    5. Qian Chen & Xiang Gao & Jianming Mo & Zhouling Xu, 2022. "Market Reaction to Local Attention around Earnings Announcements in China: Evidence from Internet Search Activity," IJFS, MDPI, vol. 10(4), pages 1-26, October.
    Full references (including those not matched with items on IDEAS)

    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. Kamal, Javed Bin & Wohar, Mark & Kamal, Khaled Bin, 2022. "Do gold, oil, equities, and currencies hedge economic policy uncertainty and geopolitical risks during covid crisis?," Resources Policy, Elsevier, vol. 78(C).
    2. Chen, Yu-Lun & Mo, Wan-Shin, 2023. "Determinants and dynamic interactions of trader positions in the gold futures market," Journal of Commodity Markets, Elsevier, vol. 31(C).
    3. Adriana AnaMaria Davidescu & Eduard Mihai Manta & Razvan Gabriel Hapau & Mihaela Gruiescu & Oana Mihaela Vacaru (Boita), 2023. "Exploring the Contagion Effect from Developed to Emerging CEE Financial Markets," Mathematics, MDPI, vol. 11(3), pages 1-50, January.
    4. Bentes, Sónia R., 2023. "Is gold a safe haven for the CIVETS countries under extremely adverse market conditions? Some new evidence from the MF-DCCA analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).
    5. Yarovaya, Larisa & Brzeszczyński, Janusz & Goodell, John W. & Lucey, Brian & Lau, Chi Keung Marco, 2022. "Rethinking financial contagion: Information transmission mechanism during the COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    6. Zhang, Jiaming & Guo, Songlin & Dou, Bin & Xie, Bingyuan, 2023. "Evidence of the internationalization of China's crude oil futures: Asymmetric linkages to global financial risks," Energy Economics, Elsevier, vol. 127(PA).
    7. Hapau Razvan Gabriel, 2023. "Capital Market Volatility During Crises: Oil Price Insights, VIX Index, and Gold Price Analysis," Management & Marketing, Sciendo, vol. 18(3), pages 290-314, September.
    8. Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia, 2023. "Do commodity markets catch a cold from stock markets? Modelling uncertainty spillovers using Google search trends and wavelet coherence," International Review of Financial Analysis, Elsevier, vol. 87(C).
    9. Wang, Yizhi & Lucey, Brian M. & Vigne, Samuel A. & Yarovaya, Larisa, 2022. "The Effects of Central Bank Digital Currencies News on Financial Markets," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    10. Feng Wang & Min Wu, 2021. "The Impacts of COVID-19 on China’s Economy and Energy in the Context of Trade Protectionism," IJERPH, MDPI, vol. 18(23), pages 1-23, December.
    11. Maghyereh, Aktham & Awartani, Basel & Virk, Nader S., 2022. "Asymmetric risk transmissions between oil, gold and US equities: Recent evidence from the realized variance of the futures prices," Resources Policy, Elsevier, vol. 79(C).
    12. Nepp, Alexander & Okhrin, Ostap & Egorova, Julia & Dzhuraeva, Zarnigor & Zykov, Alexander, 2022. "What threatens stock markets more - The coronavirus or the hype around it?," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 519-539.
    13. Imad A. Moosa & Ebrahim Merza, 2022. "The effect of COVID-19 on foreign direct investment inflows: stylised facts and some explanations," Future Business Journal, Springer, vol. 8(1), pages 1-12, December.
    14. Rabeh Khalfaoui & Sakiru Adebola Solarin & Adel Al-Qadasi & Sami Ben Jabeur, 2022. "Dynamic causality interplay from COVID-19 pandemic to oil price, stock market, and economic policy uncertainty: evidence from oil-importing and oil-exporting countries," Annals of Operations Research, Springer, vol. 313(1), pages 105-143, June.
    15. Press, Melea & Brzeszczyński, Janusz, 2022. "Do business models matter?," Finance Research Letters, Elsevier, vol. 48(C).
    16. Bouzgarrou, Houssam & Ftiti, Zied & Louhichi, Waël & Yousfi, Mohamed, 2023. "What can we learn about the market reaction to macroeconomic surprise? Evidence from the COVID-19 crisis," Research in International Business and Finance, Elsevier, vol. 64(C).
    17. Lee, Chien-Chiang & Lee, Hsiang-Tai, 2023. "Optimal portfolio diversification with a multi-chain regime-switching spillover GARCH model," Global Finance Journal, Elsevier, vol. 55(C).
    18. Wen, Jun & Zhao, Xinxin & Fu, Qiang & Chang, Chun-Ping, 2023. "The impact of financial risk on green innovation: Global evidence," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    19. Piñeiro-Chousa, Juan & López-Cabarcos, M. Ángeles & Quiñoá-Piñeiro, Lara & Pérez-Pico, Ada M., 2022. "US biopharmaceutical companies' stock market reaction to the COVID-19 pandemic. Understanding the concept of the ‘paradoxical spiral’ from a sustainability perspective," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    20. Hanns de la Fuente-Mella & Rolando Rubilar & Karime Chahuán-Jiménez & Víctor Leiva, 2021. "Modeling COVID-19 Cases Statistically and Evaluating Their Effect on the Economy of Countries," Mathematics, MDPI, vol. 9(13), pages 1-13, July.

    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:gam:jrisks:v:11:y:2023:i:5:p:94-:d:1148464. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.