IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/111136.html
   My bibliography  Save this paper

How did Australian financial markets react to the COVID-19 vaccine rollout? Fresh evidence from quantile copula spectrum analysis

Author

Listed:
  • Matsuki, Takashi
  • Pan, Lei

Abstract

We provide the first study of how large and persistent the Australian financial markets reacted to the COVID-19 vaccine rollout. Using the novel quantile copula coherency developed by Baruník and Kley (2019), our study properly detects short- and long-lived significant reactions of the stock price index and foreign exchange returns to the vaccine rate variation.

Suggested Citation

  • Matsuki, Takashi & Pan, Lei, 2021. "How did Australian financial markets react to the COVID-19 vaccine rollout? Fresh evidence from quantile copula spectrum analysis," MPRA Paper 111136, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:111136
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/111136/1/MPRA_paper_111127.pdf
    File Function: original version
    Download Restriction: no
    File URL: https://mpra.ub.uni-muenchen.de/111136/7/MPRA_paper_111136.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Elgin, Ceyhun & Yalaman, Abdullah & Yasar, Sezer & Basbug, Gokce, 2021. "Economic policy responses to the COVID-19 pandemic: The role of central bank independence," Economics Letters, Elsevier, vol. 204(C).
    2. Bakas, Dimitrios & Triantafyllou, Athanasios, 2020. "Commodity price volatility and the economic uncertainty of pandemics," Economics Letters, Elsevier, vol. 193(C).
    3. Rouatbi, Wael & Demir, Ender & Kizys, Renatas & Zaremba, Adam, 2021. "Immunizing markets against the pandemic: COVID-19 vaccinations and stock volatility around the world," International Review of Financial Analysis, Elsevier, vol. 77(C).
    4. Rahman, Md Lutfur & Amin, Abu & Al Mamun, Mohammed Abdullah, 2021. "The COVID-19 outbreak and stock market reactions: Evidence from Australia," Finance Research Letters, Elsevier, vol. 38(C).
    5. Jozef Baruník & Tobias Kley, 2019. "Quantile coherency: A general measure for dependence between cyclical economic variables," The Econometrics Journal, Royal Economic Society, vol. 22(2), pages 131-152.
    6. Zhou, Hang & Yu, Mei & Li, Jiahui & Qin, Qilin, 2021. "Rare disasters, exchange rates, and macroeconomic policy: Evidence from COVID-19," Economics Letters, Elsevier, vol. 209(C).
    7. Rubbaniy, Ghulame & Polyzos, Stathis & Rizvi, Syed Kumail Abbas & Tessema, Abiot, 2021. "COVID-19, Lockdowns and herding towards a cryptocurrency market-specific implied volatility index," Economics Letters, Elsevier, vol. 207(C).
    8. Hanke, Michael & Kosolapova, Maria & Weissensteiner, Alex, 2020. "COVID-19 and market expectations: Evidence from option-implied densities," Economics Letters, Elsevier, vol. 195(C).
    9. Amar, Amine Ben & Belaid, Fateh & Youssef, Adel Ben & Chiao, Benjamin & Guesmi, Khaled, 2021. "The unprecedented reaction of equity and commodity markets to COVID-19," Finance Research Letters, Elsevier, vol. 38(C).
    10. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Larkin, Charles & Oxley, Les, 2020. "Any port in a storm: Cryptocurrency safe-havens during the COVID-19 pandemic," Economics Letters, Elsevier, vol. 194(C).
    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. Jiang, Yonghong & Wu, Lanxin & Tian, Gengyu & Nie, He, 2021. "Do cryptocurrencies hedge against EPU and the equity market volatility during COVID-19? – New evidence from quantile coherency analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    2. Ahmet Goncu, 2021. "Effects of Covid-19 Pandemic on Chinese Commodity Futures Markets," Papers 2106.09250, arXiv.org.
    3. Pagnottoni, Paolo & Spelta, Alessandro & Pecora, Nicolò & Flori, Andrea & Pammolli, Fabio, 2021. "Financial earthquakes: SARS-CoV-2 news shock propagation in stock and sovereign bond markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    4. Shaen Corbet & Les Oxley, 2023. "Investigating the Academic Response to Cryptocurrencies: Insights from Research Diversification as Separated by Journal Ranking," Review of Corporate Finance, now publishers, vol. 3(4), pages 487-528, September.
    5. Kamal, Javed Bin & Wohar, Mark, 2023. "Heterogenous responses of stock markets to covid related news and sentiments: Evidence from the 1st year of pandemic," International Economics, Elsevier, vol. 173(C), pages 68-85.
    6. Yousaf, Imran & Pham, Linh & Goodell, John W., 2023. "Interconnectedness between healthcare tokens and healthcare stocks: Evidence from a quantile VAR approach," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 271-283.
    7. Kołodziejczyk, Hanna, 2023. "Stablecoins as diversifiers, hedges and safe havens: A quantile coherency approach," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    8. Dong, Zibing & Li, Yanshuang & Zhuang, Xintian & Wang, Jian, 2022. "Impacts of COVID-19 on global stock sectors: Evidence from time-varying connectedness and asymmetric nexus analysis," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    9. Yousaf, Imran & Jareño, Francisco & Tolentino, Marta, 2023. "Connectedness between Defi assets and equity markets during COVID-19: A sector analysis," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    10. Ali, Heba, 2022. "Corporate dividend policy in the time of COVID-19: Evidence from the G-12 countries," Finance Research Letters, Elsevier, vol. 46(PB).
    11. Tarchella, Salma & Khalfaoui, Rabeh & Hammoudeh, Shawkat, 2024. "The safe haven, hedging, and diversification properties of oil, gold, and cryptocurrency for the G7 equity markets: Evidence from the pre- and post-COVID-19 periods," Research in International Business and Finance, Elsevier, vol. 67(PB).
    12. Najam Iqbal & Muhammad Saqib Manzoor & Muhammad Ishaq Bhatti, 2021. "Asymmetry and Leverage with News Impact Curve Perspective in Australian Stock Returns’ Volatility during COVID-19," JRFM, MDPI, vol. 14(7), pages 1-15, July.
    13. Anastasiou, Dimitris & Ballis, Antonis & Drakos, Konstantinos, 2022. "Constructing a positive sentiment index for COVID-19: Evidence from G20 stock markets," International Review of Financial Analysis, Elsevier, vol. 81(C).
    14. Umar, Muhammad & Shahzad, Fakhar & Ullah, Irfan & Fanghua, Tong, 2023. "A comparative analysis of cryptocurrency returns and economic policy uncertainty pre- and post-Covid-19," Research in International Business and Finance, Elsevier, vol. 65(C).
    15. Afees Salisu & Idris Adediran, 2021. "Uncertainty Due to Infectious Diseases and Energy Market Volatility," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 1(1), pages 1-4.
    16. ?ikolaos A. Kyriazis, 2021. "Impacts of Stock Indices, Oil, and Twitter Sentiment on Major Cryptocurrencies during the COVID-19 First Wave," Bulletin of Applied Economics, Risk Market Journals, vol. 8(2), pages 133-146.
    17. Karim, Sitara & Naeem, Muhammad Abubakr & Lucey, Brian M., 2022. "Do ethics outpace sins?," Finance Research Letters, Elsevier, vol. 47(PB).
    18. Zouhaier Dhifaoui & Sami Ben Jabeur & Rabeh Khalfaoui & Muhammad Ali Nasir, 2023. "Time‐varying partial‐directed coherence approach to forecast global energy prices with stochastic volatility model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2292-2306, December.
    19. Ashok, Shruti & Corbet, Shaen & Dhingra, Deepika & Goodell, John W. & Kumar, Satish & Yadav, Miklesh Prasad, 2022. "Are energy markets informationally smarter than equity markets? Evidence from the COVID-19 experience," Finance Research Letters, Elsevier, vol. 47(PB).
    20. Tiwari, Aviral Kumar & Aye, Goodness C. & Gupta, Rangan & Gkillas, Konstantinos, 2020. "Gold-oil dependence dynamics and the role of geopolitical risks: Evidence from a Markov-switching time-varying copula model," Energy Economics, Elsevier, vol. 88(C).

    More about this item

    Keywords

    Australia; Financial markets; COVID-19 vaccine; Quantile copula spectrum; Quantile coherency;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:111136. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.