The client is king : do mutual fund relationships bias analyst recommendations?

Michael FIRTH, Chen LIN, Ping LIU, Yuhai XUAN

Research output: Journal PublicationsJournal Article (refereed)peer-review

128 Citations (Scopus)


This paper investigates whether the business relations between mutual funds and brokerage firms influence sell-side analyst recommendations. Using a unique data set that discloses brokerage firms’ commission income derived from each mutual fund client as well as the share holdings of these mutual funds, we find that an analyst's recommendation on a stock relative to consensus is significantly higher if the stock is held by the mutual fund clients of the analyst's brokerage firm. The optimism in analyst recommendations increases with the weight of the stock in a mutual fund client's portfolio and the commission revenue generated from the mutual fund client. However, this favorable recommendation bias toward a client's existing portfolio stocks is mitigated if the stock in question is highly visible to other mutual fund investors. Abnormal stock returns are significantly greater both for the announcement period and, in the long run, for favorable stock recommendations from analysts not subject to client pressure than for equally favorable recommendations from business-related analysts. In addition, we find that, subsequent to announcements of bad news from the covered firms, analysts are significantly less likely to downgrade a stock held by client mutual funds. Mutual funds increase their holdings in a stock that receives a favorable recommendation but this impact is significantly reduced if the recommendation comes from analysts subject to client pressure.
Original languageEnglish
Pages (from-to)165-200
Number of pages36
JournalJournal of Accounting Research
Issue number1
Early online date23 Oct 2012
Publication statusPublished - Mar 2013

Bibliographical note

Firth, Lin, and Xuan gratefully acknowledge financial support from the Government of the HKSAR (CERG340309/CERG5403), the Chinese University of Hong Kong, and the Division of Research of the Harvard Business School, respectively.

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