Insider trading, overconfidence, and private information flow
被引:3
|
作者:
Jiang, Ying
论文数: 0引用数: 0
h-index: 0
机构:
Northeast Normal Univ, Sch Math & Stat, MOE Key Lab Appl Stat, Changchun 130024, Peoples R ChinaNortheast Normal Univ, Sch Math & Stat, MOE Key Lab Appl Stat, Changchun 130024, Peoples R China
Jiang, Ying
[1
]
Liu, Hong
论文数: 0引用数: 0
h-index: 0
机构:
Northeast Normal Univ, Sch Math & Stat, MOE Key Lab Appl Stat, Changchun 130024, Peoples R ChinaNortheast Normal Univ, Sch Math & Stat, MOE Key Lab Appl Stat, Changchun 130024, Peoples R China
Liu, Hong
[1
]
机构:
[1] Northeast Normal Univ, Sch Math & Stat, MOE Key Lab Appl Stat, Changchun 130024, Peoples R China
Insider trading;
Private information flow;
Overconfidence;
D O I:
10.1016/j.najef.2022.101664
中图分类号:
F8 [财政、金融];
学科分类号:
0202 ;
摘要:
In this study, we investigate a dynamic model wherein an overconfident and a risk-neutral informed trader optimally exploit their long-lived private information regarding the value of an asset. We find that when the degree of overconfidence becomes larger, or the intensity of private information flow becomes larger relative to the initial private signal, the market becomes more stable. Additionally, we find that the greater the intensity of private information flow relative to the initial private signal, the more evident the patient transaction and the slower the information is incorporated in the price.