Insider trading, overconfidence, and private information flow

Ying Jiang and Hong Liu

The North American Journal of Economics and Finance, 2022, vol. 60, issue C

Abstract: 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.

Keywords: Insider trading; Private information flow; Overconfidence; Asymmetric information (search for similar items in EconPapers)
JEL-codes: C72 D43 D82 G14 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1062940822000225
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecofin:v:60:y:2022:i:c:s1062940822000225

DOI: 10.1016/j.najef.2022.101664

Access Statistics for this article

The North American Journal of Economics and Finance is currently edited by Hamid Beladi

More articles in The North American Journal of Economics and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().