IDEAS home Printed from https://ideas.repec.org/a/taf/ufajxx/v65y2009i6p65-78.html
   My bibliography  Save this article

Gender and Job Performance: Evidence from Wall Street

Author

Listed:
  • Clifton Green
  • Narasimhan Jegadeesh
  • Yue Tang

Abstract

This study concerns the relationship between gender and job performance among brokerage firm equity analysts. Women’s representation in analyst positions dropped from 16 percent in 1995 to 14 percent in 2005. The study found significant gender-based differences in performance on various dimensions. For example, women cover roughly 9 stocks, on average, as compared with 10 for men, and women’s earnings estimates tend to be less accurate than men’s estimates. But the study also found that women are significantly more likely than men to be designated as All-Stars, which indicates that they outperform men in other aspects of job performance.We examined the relationship between gender and performance among sell-side analysts. Sell-side analysts are unique in that key aspects of their job performance can be publicly observed and evaluated. We used the following measures of job performance: number of stocks that analysts follow, longevity on the job, accuracy of analysts’ earnings forecasts, frequency of forecast revisions, and professional reputation (as measured by the coveted All-America Research Team designation in Institutional Investor magazine).Our findings have important implications for investment managers who use analysts’ forecasts as inputs for investment decisions. Understanding the factors that affect the precision of analysts’ forecasts would help managers appropriately weight individual forecasts to arrive at optimal earnings forecasts. We found that forecast accuracy is significantly related to gender. In fact, we found that gender is more important for forecast accuracy than an analyst’s All-Star status on the Institutional Investor survey.Our study also has important implications for understanding gender balance among sell-side analysts. A vast majority of analysts are men, and women are often alleged to face gender discrimination in such high-profile, well-paying jobs. Such concerns have led many investment banks to institute programs to promote diversity. Perhaps surprisingly, as issues of gender discrimination and affirmative action have attracted considerable attention over time, the proportion of female stock analysts has declined. In our study, we set out to determine whether this decline indicates growing discrimination or whether it reflects a shift in women’s career preferences. Gender discrimination means that when faced with a choice between equally qualified women and men, employers prefer to hire men. On the one hand, if gender discrimination affects hiring decisions, one would expect that a higher hurdle is set for women than for men and thus that women who are able to clear that hurdle would, on average, do a better job than their male counterparts. On the other hand, if affirmative action is an important factor in hiring decisions, then employers may set a lower hurdle for women in order to promote gender balance; if affirmative-action-based hiring is prevalent, women would, on average, perform worse than men. We found that women cover roughly one fewer stock than men do and tend to forecast less accurately than their male counterparts; but women are significantly more likely than men to be designated by Institutional Investor magazine as members of the All-America Research Team, which indicates that women outperform men from their clients’ perspective. Overall, neither women nor men exhibit dominant performance relative to the other gender. Taken together, our results do not support the view that employers engage in pervasive gender discrimination in hiring decisions by setting higher standards for women.Longevity on the job is an important consideration in recruitment decisions. We found that women are more likely than men to leave their analyst positions within the first two years after being hired. This statistical relationship between gender and attrition may deter brokerages from hiring women. If women who aspire to be analysts intend to stay on the job longer than indicated by the statistical evidence, they would be well advised to credibly convey their intention to potential employers.

Suggested Citation

  • Clifton Green & Narasimhan Jegadeesh & Yue Tang, 2009. "Gender and Job Performance: Evidence from Wall Street," Financial Analysts Journal, Taylor & Francis Journals, vol. 65(6), pages 65-78, November.
  • Handle: RePEc:taf:ufajxx:v:65:y:2009:i:6:p:65-78
    DOI: 10.2469/faj.v65.n6.1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.2469/faj.v65.n6.1
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.2469/faj.v65.n6.1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jannati, Sima, 2024. "The ripple effect of all-star females: Knowledge spillover and improved analyst performance," Journal of Empirical Finance, Elsevier, vol. 77(C).

    More about this item

    Statistics

    Access and download statistics

    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:taf:ufajxx:v:65:y:2009:i:6:p:65-78. 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 Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/ufaj20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.