IDEAS home Printed from https://ideas.repec.org/a/wei/journl/v10y2020i2p97-121.html
   My bibliography  Save this article

Capital Market Reactions to the Arrival of COVID-19: A Developing Market Perspective

Author

Listed:
  • Abu Taleb Mohammad Adnan

    (BGMEA University of Fashion and Technology (BUFT), Dhaka, Bangladesh)

  • Mohammad Mahadi Hasan

    (Anwar Khan Modern University, Dhaka, Bangladesh)

  • Ezaz Ahmed

    (Columbia College, Columbia, USA)

Abstract

Research findings on Capital markets’ reaction to infectious diseases in emerging market contexts are not comprehensible. Therefore, using the daily individual stock’s return of 311 listed firms during an estimation period of 250 trading days; this research applies an Event Study Methodology to define the immediate stock market response to Covid19’s arrival in Bangladesh. Mean Return Model, Market Return Model, and Market model are applied to determine the Average Abnormal Returns and Cumulative Average Abnormal Returns for short term event window. Both Parametric and non-parametric tests of the significance of returns around the several event windows suggest that, despite the perceived weak market efficiency, the local stock market shows unprecedented efficient market reaction to the announcement. The significant statistical difference of CAAR between industry segments in both pre and post-event windows signifies that the negative impact of the announcement was identical for all industry segments. Behavioral overreaction induced Panic selling and herding effect has also been observed among investors due to the announcement. Findings from the study will be useful for investors and financial analysts in accessing the unpredictable systematic risk in portfolio diversification while facilitating policymakers to construct contingency strategy.

Suggested Citation

  • Abu Taleb Mohammad Adnan & Mohammad Mahadi Hasan & Ezaz Ahmed, 2020. "Capital Market Reactions to the Arrival of COVID-19: A Developing Market Perspective," Economic Research Guardian, Weissberg Publishing, vol. 10(2), pages 97-121, December.
    • Handle: RePEc:wei:journl:v:10:y:2020:i:2:p:97-121
    as

    Download full text from publisher

    File URL: https://www.ecrg.ro/files/p2020.10(2)20y3.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Akhtaruzzaman, Md & Boubaker, Sabri & Sensoy, Ahmet, 2021. "Financial contagion during COVID–19 crisis," Finance Research Letters, Elsevier, vol. 38(C).
    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. ATM Adnan & Sameer Al Johani, 2023. "Stock Market Reaction to COVID-19: A Cross-Sectional Industry Analysis in Frontier Market," IIM Kozhikode Society & Management Review, , vol. 12(2), pages 157-181, July.
    2. Mohanasundaram Thangamuthu & Suneel Maheshwari & Deepak Raghava Naik, 2022. "Volatility Spillover Effects during Pre-and-Post COVID-19 Outbreak on Indian Market from the USA, China, Japan, Germany, and Australia," JRFM, MDPI, vol. 15(9), pages 1-15, August.

    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. Marcos Albuquerque Junior & José António Filipe & Paulo de Melo Jorge Neto & Cristiano da Costa da Silva, 2021. "Assessing the Time-Frequency Co-Movements among the Five Largest Engineering Consulting Companies: A Wavelet-Base Metrics of Contagion and VaR Ratio," Mathematics, MDPI, vol. 9(5), pages 1-16, March.
    2. Serdar Neslihanoglu, 2021. "Linearity extensions of the market model: a case of the top 10 cryptocurrency prices during the pre-COVID-19 and COVID-19 periods," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-27, December.
    3. Sheng, Lin Wen & Uddin, Gazi Salah & Sen, Ding & Hao, Zhu Shi, 2024. "The asymmetric volatility spillover across Shanghai, Hong Kong and the U.S. stock markets: A regime weighted measure and its forecast inference," International Review of Financial Analysis, Elsevier, vol. 91(C).
    4. Jun Nagayasu, 2020. "Economic Activities and Regional Correlation During Economic and Natural Disasters," DSSR Discussion Papers 117, Graduate School of Economics and Management, Tohoku University.
    5. Liu, Bin & Xiao, Wen & Zhu, Xingting, 2023. "How does inter-industry spillover improve the performance of volatility forecasting?," The North American Journal of Economics and Finance, Elsevier, vol. 65(C).
    6. Ibhagui, Oyakhilome, 2021. "Stock market and deviations from covered interest parity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    7. Nhan Huynh & Dat Nguyen & Anh Dao, 2021. "Sectoral Performance and the Government Interventions during COVID-19 Pandemic: Australian Evidence," JRFM, MDPI, vol. 14(4), pages 1-16, April.
    8. Zhang, Lei & Bouri, Elie & Chen, Yan, 2023. "Co-jump dynamicity in the cryptocurrency market: A network modelling perspective," Finance Research Letters, Elsevier, vol. 58(PB).
    9. Baumöhl, Eduard & Bouri, Elie & Hoang, Thi-Hong-Van & Hussain Shahzad, Syed Jawad & Výrost, Tomáš, 2022. "Measuring systemic risk in the global banking sector: A cross-quantilogram network approach," Economic Modelling, Elsevier, vol. 109(C).
    10. Keewon Moon & Wookjae Heo & Jae Min Lee & John E. Grable, 2023. "Financial Stress and COVID-19: A Comprehensive Analysis of the Factors Associated with the Pandemic," Risks, MDPI, vol. 11(12), pages 1-24, December.
    11. Elie Bouri & Riza Demirer & Rangan Gupta & Jacobus Nel, 2021. "COVID-19 Pandemic and Investor Herding in International Stock Markets," Risks, MDPI, vol. 9(9), pages 1-11, September.
    12. Michał Buszko & Witold Orzeszko & Marcin Stawarz, 2021. "COVID-19 pandemic and stability of stock market—A sectoral approach," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-26, May.
    13. Samitas, Aristeidis & Papathanasiou, Spyros & Koutsokostas, Drosos & Kampouris, Elias, 2022. "Are timber and water investments safe-havens? A volatility spillover approach and portfolio hedging strategies for investors," Finance Research Letters, Elsevier, vol. 47(PA).
    14. Velásquez, Jorge Sepúlveda & Griñen, Pablo Tapia & Henríquez, Boris Pastén, 2022. "Emerging market dynamics in H1N1 and COVID-19 pandemics," Economics Letters, Elsevier, vol. 218(C).
    15. Bo Li & Sabri Boubaker & Zhenya Liu & Waël Louhichi & Yao Yao, 2023. "Exploring the Nonlinear Idiosyncratic Volatility Puzzle: Evidence from China," Computational Economics, Springer;Society for Computational Economics, vol. 62(2), pages 527-559, August.
    16. Shengnan Lv & Zeshui Xu & Xuecheng Fan & Yong Qin & Marinko Skare, 2023. "The mean reversion/persistence of financial cycles: Empirical evidence for 24 countries worldwide," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 18(1), pages 11-47, March.
    17. Pattanaporn Chatjuthamard & Pavitra Jindahra & Pattarake Sarajoti & Sirimon Treepongkaruna, 2021. "The effect of COVID‐19 on the global stock market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4923-4953, September.
    18. Nick James & Max Menzies, 2021. "Efficiency of communities and financial markets during the 2020 pandemic," Papers 2104.02318, arXiv.org, revised Jul 2021.
    19. Zhang, Yi & Zhou, Long & Chen, Yajiao & Liu, Fang, 2022. "The contagion effect of jump risk across Asian stock markets during the Covid-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    20. Erdinc Akyildirim & Oguzhan Cepni & Shaen Corbet & Gazi Salah Uddin, 2023. "Forecasting mid-price movement of Bitcoin futures using machine learning," Annals of Operations Research, Springer, vol. 330(1), pages 553-584, November.

    More about this item

    Keywords

    COVID19; Capital market; Event study; emerging Economy; Bangladesh;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    Statistics

    Access and download statistics

    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:wei:journl:v:10:y:2020:i:2:p:97-121. 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: Mihai Mutascu (email available below). General contact details of provider: .

    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.