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Canadian Stock Market Volatility under COVID-19

Author

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  • Dinghai Xu

    (Department of Economics, University of Waterloo)

Abstract

This paper focuses on investigating the impacts of the novel coronavirus (COVID-19) on the Canadian stock market volatility from a time-varying parameter volatility model point of view.

Suggested Citation

  • Dinghai Xu, 2020. "Canadian Stock Market Volatility under COVID-19," Working Papers 2001, University of Waterloo, Department of Economics, revised May 2020.
    • Handle: RePEc:wat:wpaper:2001
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    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. Dinghai Xu, 2021. "A study on volatility spurious almost integration effect: A threshold realized GARCH approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4104-4126, July.
    3. Al-Awadhi, Abdullah M. & Alsaifi, Khaled & Al-Awadhi, Ahmad & Alhammadi, Salah, 2020. "Death and contagious infectious diseases: Impact of the COVID-19 virus on stock market returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    4. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    5. Stefano Ramelli & Alexander F. Wagner, 2020. "Feverish Stock Price Reactions to COVID-19," Swiss Finance Institute Research Paper Series 20-12, Swiss Finance Institute.
    6. Amado, Cristina & Teräsvirta, Timo, 2013. "Modelling volatility by variance decomposition," Journal of Econometrics, Elsevier, vol. 175(2), pages 142-153.
    7. Ole E. Barndorff-Nielsen & Peter Reinhard Hansen & Asger Lunde & Neil Shephard, 2008. "Designing Realized Kernels to Measure the ex post Variation of Equity Prices in the Presence of Noise," Econometrica, Econometric Society, vol. 76(6), pages 1481-1536, November.
    8. Jose A. Lopez, 1999. "Methods for evaluating value-at-risk estimates," Economic Review, Federal Reserve Bank of San Francisco, pages 3-17.
    9. Peter Reinhard Hansen & Zhuo Huang, 2016. "Exponential GARCH Modeling With Realized Measures of Volatility," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 269-287, April.
    10. Stefano Ramelli & Alexander F Wagner, 0. "Feverish Stock Price Reactions to COVID-19," Review of Corporate Finance Studies, Oxford University Press, vol. 9(3), pages 622-655.
    11. Alexander F. Wagner, 2020. "What the stock market tells us about the post-COVID-19 world," Nature Human Behaviour, Nature, vol. 4(5), pages 440-440, May.
    12. Zaremba, Adam & Kizys, Renatas & Aharon, David Y. & Demir, Ender, 2020. "Infected Markets: Novel Coronavirus, Government Interventions, and Stock Return Volatility around the Globe," Finance Research Letters, Elsevier, vol. 35(C).
    13. Engle, Robert F & Ng, Victor K, 1993. "Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    14. Scott R Baker & Nicholas Bloom & Steven J Davis & Kyle Kost & Marco Sammon & Tasaneeya Viratyosin & Jeffrey Pontiff, 0. "The Unprecedented Stock Market Reaction to COVID-19," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 742-758.
    15. Hillebrand, Eric, 2005. "Neglecting parameter changes in GARCH models," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 121-138.
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    17. Peter Reinhard Hansen & Asger Lunde, 2005. "A Realized Variance for the Whole Day Based on Intermittent High-Frequency Data," Journal of Financial Econometrics, Oxford University Press, vol. 3(4), pages 525-554.
    18. Wagner, Alexander F. & Ramelli, Stefano, 2020. "Feverish Stock Price Reactions to COVID-19," CEPR Discussion Papers 14511, C.E.P.R. Discussion Papers.
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    Cited by:

    1. Pham, Son Duy & Nguyen, Thao Thac Thanh & Do, Hung Xuan & Vo, Xuan Vinh, 2023. "Portfolio diversification during the COVID-19 pandemic: Do vaccinations matter?," Journal of Financial Stability, Elsevier, vol. 65(C).
    2. Gu, Tiantian & Venkateswaran, Anand & Erath, Marc, 2023. "Impact of fiscal stimulus on volatility: A cross-country analysis," Research in International Business and Finance, Elsevier, vol. 65(C).
    3. Si Mohammed, Kamel & Tedeschi, Marco & Mallek, Sabrine & Tarczyńska-Łuniewska, Małgorzata & Zhang, Anqi, 2023. "Realized semi variance quantile connectedness between oil prices and stock market: Spillover from Russian-Ukraine clash," Resources Policy, Elsevier, vol. 85(PA).
    4. Si Mohammed, K. & Mellit, A., 2023. "The relationship between oil prices and the indices of renewable energy and technology companies based on QQR and GCQ techniques," Renewable Energy, Elsevier, vol. 209(C), pages 97-105.
    5. Paresh Kumar Narayan & Syed Aun R. Rizvi & Ali Sakti, 2022. "Did green debt instruments aid diversification during the COVID-19 pandemic?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-15, December.
    6. Seyed Reza Tabatabaei Poudeh & Sungchul Choi & Chengbo Fu, 2022. "The Effect of COVID-19 on the Relationship between Idiosyncratic Volatility and Expected Stock Returns," Risks, MDPI, vol. 10(3), pages 1-11, March.

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    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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