Covid-19 and heuristic biases: evidence from India

Shashank Kathpal (), Asif Akhtar (), Asma Zaheer () and Mohd Naved Khan ()
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Shashank Kathpal: GLA University
Asif Akhtar: Aligarh Muslim University
Asma Zaheer: King Abdulaziz University
Mohd Naved Khan: Saudi Electronic University

Journal of Financial Services Marketing, 2021, vol. 26, issue 4, No 9, 305-316

Abstract: Abstract Stock markets worldwide have witnessed high volatility during the year 2020 owing to the eruption of Covid-19. Due to the world’s unprecedented economic challenges, this study could potentially guide financial advisors and individual investors in dealing with pandemics. An association between investors’ perception toward the intensity of Covid-19 and heuristic biases is analyzed using the responses of 290 stock investors of National Capital Region (NCR), India. The data are validated through Cronbach’s alpha, and the model fit is analyzed using EFA. Confirmatory factor analysis (CFA) is employed to investigate the relationship between Covid-19 and heuristic biases. Covid-19 does not have any influence on the overconfidence of investors. A significant positive relationship is found between Covid-19 and the remaining three heuristics, i.e., availability, anchoring, and representativeness. The present study analyzes the association between Covid-19 and specific investors’ bias only and should not be interpreted for causality. The study has the potential to guide investors in understanding the errors they are making while investing during the pandemic and the ways to deal with them. The study could provide insights to the financial advisors in understanding their customers. The implications of the study may include inputs of the errors committed by them during the pandemic. Despite the fact that an enormous amount of literature exists in the field of investors’ sentiment, a scarcity of literature is available that measures the relationship between heuristic biases and the perceived impact of the pandemic. The current study attempts to fill this gap in the literature.

Keywords: Availability; Anchoring; Representativeness; Overconfidence; Covid-19 (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1057/s41264-021-00116-x

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