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

Mohammad Alomari, Abedalrazaq Alrababa’a, Mobeen Ur Rehman, David M. Power (Lead / Corresponding author)

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)
76 Downloads (Pure)


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.
Original languageEnglish
Article number101584
Number of pages10
JournalNorth American Journal of Economics and Finance
Early online date29 Oct 2021
Publication statusPublished - Jan 2022


  • Infectious diseases tracking
  • sectoral returns
  • US
  • COVID-19
  • quantile regression
  • Sectoral returns
  • Quantile regression

ASJC Scopus subject areas

  • Economics and Econometrics
  • Finance


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