Herding behavior in African stock markets: A state-space assessment during times of crisis

被引:0
作者
Assoe, Kodjovi [1 ]
Mbengue, Mohamed Lamine [2 ]
Sene, Babacar [3 ]
Sy, Oumar [4 ]
机构
[1] Univ Quebec Montreal, Sch Management, Montreal, PQ H2X3X2, Canada
[2] Univ Amadou Mahtar Mbow, UFR Sci Econ & Gest, Dakar, Senegal
[3] Univ Cheikh Anta Diop, Fac Sci Econ & Gest, Dakar, Senegal
[4] Dalhousie Univ, Fac Management, Halifax, NS, Canada
关键词
African stock markets; Herding behavior; State-space model; Crisis; IMPACT;
D O I
10.1016/j.frl.2025.107208
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This study investigates the dynamics of herding behavior across 17 African stock markets from 2009 to 2022, encompassing major crises such as the European debt crisis, the Arab Spring, the Ebola outbreak, Brexit, COVID-19, and the Russia-Ukraine conflict. Employing state-space models, we find significant and persistent herding patterns across all markets. The timevarying herding dynamics reveal slightly negative, albeit statistically significant, herding during normal times. Contrary to conventional expectations, herding does not intensify during crises. Instead, investors tend to focus on fundamentals rather than following the crowd. These results provide novel insights into the behavior of African stock markets under stress.
引用
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页数:12
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