The COVID-19 Pandemic and Overconfidence Bias: The Case of Cyclical and Defensive Sectors

Autor: Md Qamar Azam, Nazia Iqbal Hashmi, Iqbal Thonse Hawaldar, Md Shabbir Alam, Mirza Allim Baig
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Risks, Vol 10, Iss 3, p 56 (2022)
Druh dokumentu: article
ISSN: 2227-9091
DOI: 10.3390/risks10030056
Popis: This research paper analyses the impact of COVID-19 to investigate the overconfidence bias in 12 cyclical and defensive sectors in pre- and during COVID-19 periods using daily data from 1 January 2015 to 31 December 2020. The results of VAR show that in the pre COVID-19 phase overconfidence bias is more prevalent in all the cyclical sectors; in particular, MEDIA, METAL and REALTY have highly significant coefficients . In the defensive sectors, the VAR outcomes are not as strong as we expected, except for SERVICES. During the COVID-19 period, the investor shifted their focus to COVID-19-related opportunities, leading to a surge in the IT and PHARMA sectors. In both phases, METAL, MEDIA and REALTY exhibit overconfidence-driven stock trading behaviour. ENERGY is the only sector in both the phases that does not witness overconfidence bias.
Databáze: Directory of Open Access Journals
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