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

被引:14
作者
Alomari, Mohammad [1 ]
Al Rababa'a, Abdel Razzaq [2 ]
Rehman, Mobeen Ur [3 ]
Power, David M. [4 ]
机构
[1] German Jordanian Univ, Sch Management & Logist Sci, Amman 11180, Jordan
[2] Yarmouk Univ, Fac Econ & Adm Sci, Irbid 21163, Jordan
[3] Shaheed Zulfikar Ali Bhutto Inst Sci & Technol SZ, Islamabad, Pakistan
[4] Univ Dundee, Sch Business, Dundee DD1 4HN, Scotland
关键词
Infectious diseases tracking; Sectoral returns; US; COVID-19; Quantile regression; RISK;
D O I
10.1016/j.najef.2021.101584
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
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.
引用
收藏
页数:10
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