File Download
There are no files associated with this item.
Supplementary
-
Citations:
- Appears in Collections:
Article: Politically Affiliated Analysts
Title | Politically Affiliated Analysts |
---|---|
Authors | |
Issue Date | 30-Apr-2024 |
Publisher | Institute for Operations Research and Management Sciences |
Citation | Management Science, 2024 How to Cite? |
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. |
Persistent Identifier | http://hdl.handle.net/10722/343572 |
ISSN | 2023 Impact Factor: 4.6 2023 SCImago Journal Rankings: 5.438 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kong, Dongmin | - |
dc.contributor.author | Lin, Chen | - |
dc.contributor.author | Liu, Shasha | - |
dc.contributor.author | Xuan, Yuhai | - |
dc.date.accessioned | 2024-05-21T03:11:54Z | - |
dc.date.available | 2024-05-21T03:11:54Z | - |
dc.date.issued | 2024-04-30 | - |
dc.identifier.citation | Management Science, 2024 | - |
dc.identifier.issn | 0025-1909 | - |
dc.identifier.uri | http://hdl.handle.net/10722/343572 | - |
dc.description.abstract | <p>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.<br></p> | - |
dc.language | eng | - |
dc.publisher | Institute for Operations Research and Management Sciences | - |
dc.relation.ispartof | Management Science | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | Politically Affiliated Analysts | - |
dc.type | Article | - |
dc.identifier.doi | 10.1287/mnsc.2022.00579 | - |
dc.identifier.eissn | 1526-5501 | - |
dc.identifier.issnl | 0025-1909 | - |