Author
Listed:
- Dongmin Kong
(School of Finance, Zhongnan University of Economics and Law, Wuhan 430073, China; and School of Economics, Huazhong University of Science and Technology, Wuhan 430074, China)
- Chen Lin
(Faculty of Business and Economics, The University of Hong Kong, Pokfulam, Hong Kong)
- Shasha Liu
(School of Management, Jinan University, Guangzhou 510632, China)
- Yuhai Xuan
(The Paul Merage School of Business, University of California, Irvine, Irvine, California 92697)
Abstract
Government ownership of financial intermediaries is pervasive around the world. In this study, we examine the impact of common government ownership between the brokerage and listed firms on the information production role of brokerage firms. We show that affiliated analysts tend to issue more optimistic recommendations for stocks of firms controlled by the same government entity that controls their brokerage firms. This optimistic bias is particularly pronounced during periods of economic shocks. Our study demonstrates this by utilizing additional tariff impositions and tariff exemptions during the U.S.–China trade war as exogenous negative and positive shocks, respectively. Additionally, our study indicates that stocks recommended by politically affiliated analysts tend to underperform those recommended by independent analysts, implying that the optimism stems from conflicts of interest rather than superior information. Furthermore, our research highlights that sophisticated investors perceive the potential bias and incorporate it into their trading. Consistent with an exchange of favors story, politically affiliated brokerage firms receive a larger allocation during the issuance of local government debt, whereas governments subscribe for more shares during seasoned equity offerings by these affiliated brokerage firms.
Suggested Citation
Dongmin Kong & Chen Lin & Shasha Liu & Yuhai Xuan, 2025.
"Politically Affiliated Analysts,"
Management Science, INFORMS, vol. 71(2), pages 1074-1101, February.
Handle:
RePEc:inm:ormnsc:v:71:y:2025:i:2:p:1074-1101
DOI: 10.1287/mnsc.2022.00579
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormnsc:v:71:y:2025:i:2:p:1074-1101. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.