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Infectious diseases tracking and sectoral stock market returns: A quantile regression analysis

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  • Alomari, Mohammad
  • Al Rababa'a, Abdel Razzaq
  • Ur Rehman, Mobeen
  • Power, David M.

Abstract

This paper investigates the relationship between changes in the newspaper-based infectious diseases tracking index (ITI) of Baker et al. (2020) and sectoral stock market returns in the US. Our results spanning the period 1985:01 to 2020:03 reveal the presence of a negative (positive) relationship between returns and ITI at lower (higher) return quantiles (representing different market conditions) in a majority of the sectors. For the health care sector, this relationship is negative at all quantiles. Interestingly, inclusion of the COVID-19 period in the sample data leads to the detection of a stronger relationship for smaller quantiles across all sectors. An asymmetric relationship between returns and the ITI is witnessed across different market conditions for the Consumer Staples, Healthcare, Industrial and Technology sectors. Results from a rolling regression uncover differences in the magnitudes of responses to various infectious diseases over time. Our results carry important implications regarding investment strategies for US sectoral returns in the presence of news relating to infectious diseases.

Suggested Citation

  • Alomari, Mohammad & Al Rababa'a, Abdel Razzaq & Ur Rehman, Mobeen & Power, David M., 2022. "Infectious diseases tracking and sectoral stock market returns: A quantile regression analysis," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    • Handle: RePEc:eee:ecofin:v:59:y:2022:i:c:s106294082100187x
    DOI: 10.1016/j.najef.2021.101584
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    Cited by:

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    3. Muhammad Niaz Khan & Suzanne G. M. Fifield & David M. Power, 2024. "The impact of the COVID 19 pandemic on stock market volatility: evidence from a selection of developed and emerging stock markets," SN Business & Economics, Springer, vol. 4(6), pages 1-26, June.
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    7. Liyun Zhou & Weinan Lin & Chunpeng Yang, 2024. "Investor trading behavior and asset prices: Evidence from quantile regression analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1722-1744, April.

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    More about this item

    Keywords

    Infectious diseases tracking; Sectoral returns; US; COVID-19; Quantile regression;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • I10 - Health, Education, and Welfare - - Health - - - General

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