INVESTORS’ HERD BEHAVIOR RELATED TO THE PANDEMIC-RISK REFLECTED ON THE GCC STOCK MARKETS

• Main Authors: Marwan Mohamed Abdeldayem, Saeed Hameed Al Dulaimi
• Format: Article
• Language: deu
• Published: Faculty of Economics University of Rijeka 2020-12-01
• Series: Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu
• Subjects: covid-19; gcc stock markets; investor herding; pandemic-risk; cross-sectional standard deviation (cssd); confirmatory factor analysis (cfa)
• Online Access: https://www.efri.uniri.hr/upload/Zbornik%202_2020/13-Abdeldayem_et_al-2020-2.pdf
• ISSN: 1331-8004; 1846-7520

The purpose of this study is to examine the causal association between expectations of pandemic risk and herding behavior. The study was undertaken in two stages. First, it was felt necessary to obtain a broad overview of the effect of the pandemic related risk of COVID-19 on investors’ herding in the GCC. This was achieved by analyzing secondary data (i.e. daily historic prices on five GCC country market indices). In analyzing the secondary data, the study follows Christie and Huang (1995) and employs the cross-sectional standard deviation (CSSD) of returns to detect investors’ herding behavior. Second, in an attempt to obtain a more precise understanding of the impact of pandemic related risk, a questionnaire survey was distributed and collected from 318 investors from the GCC stock markets. A confirmatory factor analysis (CFA) was also used as the primary analysis between the two variables: i.e. expectations of pandemic risk and herding behavior. The findings reveal that expectations of pandemic risk have a significant positive impact on the herding behavior in the GCC stock markets during the coronavirus crisis in the first quarter of 2020. Finally, the results of this study are robust to a range of model specifications.