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Does Heterogeneity in COVID-19 News Affect Asset Market? Monte-Carlo Simulation Based Wavelet Transform

Author

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  • Asima Siddique

    (Management Science Department, COMSATS University Islamabad, Islamabad 46000, Pakistan)

  • Ghulam Mujtaba Kayani

    (Management Science Department, COMSATS University Islamabad, Islamabad 46000, Pakistan)

  • Saira Ashfaq

    (Management Science Department, Bahria University Islamabad, Islamabad 44000, Pakistan)

Abstract

The current study investigates the connectedness between US COVID-19 news, Dowes Jones Index (DJI), green bonds, gold, and bitcoin prices for the period 22 January 2020–3 August 2021. The study has employed wavelet coherency, the continuous wavelet transform, and the wavelet-based Granger causality methods to obtain the dependence result. The continuous wavelet transform (CWT) analysis reveals that the United States equity market prices are extremely sensitive with regard to spreading coronavirus (USCOVID-19) news and changes in the oil price. Green bonds, gold, and bitcoin have minimal connectedness with the equity market, which might lead to the hedge and safe haven role of these assets during the COVID-19 crisis period. Lastly, very strong comovement was found between bitcoin and gold during the entire sample. The results of the present study offer a number of fresh and noticeable policy implications for international investors and asset managers.

Suggested Citation

  • Asima Siddique & Ghulam Mujtaba Kayani & Saira Ashfaq, 2021. "Does Heterogeneity in COVID-19 News Affect Asset Market? Monte-Carlo Simulation Based Wavelet Transform," JRFM, MDPI, vol. 14(10), pages 1-16, October.
    • Handle: RePEc:gam:jjrfmx:v:14:y:2021:i:10:p:463-:d:648446
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    References listed on IDEAS

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    Cited by:

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    2. Bejaoui, Azza & Frikha, Wajdi & Jeribi, Ahmed & Bariviera, Aurelio F., 2023. "Connectedness between emerging stock markets, gold, cryptocurrencies, DeFi and NFT: Some new evidence from wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 619(C).
    3. Seyed Alireza Athari & Ngo Thai Hung, 2022. "Time–frequency return co-movement among asset classes around the COVID-19 outbreak: portfolio implications," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(4), pages 736-756, October.
    4. Maneejuk, Paravee & Kaewtathip, Nuttaphong & Jaipong, Peemmawat & Yamaka, Woraphon, 2022. "The transition of the global financial markets' connectedness during the COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    5. Hakan Yilmazkuday, 2021. "Changes in Consumption in the Early COVID-19 Era: Zip-Code Level Evidence from the U.S," JRFM, MDPI, vol. 14(10), pages 1-10, October.
    6. Ruzita Abdul-Rahim & Airil Khalid & Zulkefly Abdul Karim & Mamunur Rashid, 2022. "Exploring the Driving Forces of Stock-Cryptocurrency Comovements during COVID-19 Pandemic: An Analysis Using Wavelet Coherence and Seemingly Unrelated Regression," Mathematics, MDPI, vol. 10(12), pages 1-19, June.

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