IDEAS home Printed from https://ideas.repec.org/a/spr/reaccs/v25y2020i4d10.1007_s11142-020-09542-z.html
   My bibliography  Save this article

Gender and beauty in the financial analyst profession: evidence from the United States and China

Author

Listed:
  • Congcong Li

    (Duquesne University)

  • An-Ping Lin

    (Singapore Management University)

  • Hai Lu

    (University of Toronto
    Peking University)

  • Kevin Veenstra

    (McMaster University)

Abstract

We examine how gender and beauty affect the likelihood of being voted as an All-Star in the financial analyst profession in both the United States and China. We find that female analysts are more likely to be voted as All-Star analysts in the United States, but good-looking female U.S. analysts are less likely to be voted as All-Stars. The conclusion is the opposite for Chinese analysts. We find that female analysts in China are less likely to be voted as All-Stars, but the likelihood increases with their facial attractiveness. These findings implicate a beauty penalty for female analysts in the United States and gender discrimination against female analysts in China. This career path evidence from a competitive financial industry suggests that gender and beauty biases may be rooted deeply in culture and the legal environment and should not be treated homogenously.

Suggested Citation

  • Congcong Li & An-Ping Lin & Hai Lu & Kevin Veenstra, 2020. "Gender and beauty in the financial analyst profession: evidence from the United States and China," Review of Accounting Studies, Springer, vol. 25(4), pages 1230-1262, December.
    • Handle: RePEc:spr:reaccs:v:25:y:2020:i:4:d:10.1007_s11142-020-09542-z
    DOI: 10.1007/s11142-020-09542-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11142-020-09542-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11142-020-09542-z?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.

    References listed on IDEAS

    as
    1. Hamermesh, Daniel S & Biddle, Jeff E, 1994. "Beauty and the Labor Market," American Economic Review, American Economic Association, vol. 84(5), pages 1174-1194, December.
    2. Lauren Cohen & Andrea Frazzini & Christopher Malloy, 2010. "Sell‐Side School Ties," Journal of Finance, American Finance Association, vol. 65(4), pages 1409-1437, August.
    3. Goldin, Claudia D. & Rouse, Cecilia, 2000. "Orchestrating Impartiality: The Impact of “Blind†Auditions on Female Musicians," Scholarly Articles 30703974, Harvard University Department of Economics.
    4. Alok Kumar, 2010. "Self‐Selection and the Forecasting Abilities of Female Equity Analysts," Journal of Accounting Research, Wiley Blackwell, vol. 48(2), pages 393-435, May.
    5. repec:wyi:journl:002164 is not listed on IDEAS
    6. Boris Groysberg & Paul M. Healy & David A. Maber, 2011. "What Drives Sell‐Side Analyst Compensation at High‐Status Investment Banks?," Journal of Accounting Research, Wiley Blackwell, vol. 49(4), pages 969-1000, September.
    7. Mark Egan & Gregor Matvos & Amit Seru, 2022. "When Harry Fired Sally: The Double Standard in Punishing Misconduct," Journal of Political Economy, University of Chicago Press, vol. 130(5), pages 1184-1248.
    8. Hamermesh, Daniel S. & Meng, Xin & Zhang, Junsen, 2002. "Dress for success--does primping pay?," Labour Economics, Elsevier, vol. 9(3), pages 361-373, July.
    9. Andreoni, James & Petrie, Ragan, 2008. "Beauty, gender and stereotypes: Evidence from laboratory experiments," Journal of Economic Psychology, Elsevier, vol. 29(1), pages 73-93, February.
    10. Altonji, Joseph G. & Blank, Rebecca M., 1999. "Race and gender in the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 48, pages 3143-3259, Elsevier.
    11. Markus M. Mobius & Tanya S. Rosenblat, 2006. "Why Beauty Matters," American Economic Review, American Economic Association, vol. 96(1), pages 222-235, March.
    12. Huasheng Gao & Yaheng Lin & Yujing Ma, 2016. "Sex Discrimination and Female Top Managers: Evidence from China," Journal of Business Ethics, Springer, vol. 138(4), pages 683-702, November.
    13. repec:eee:labchp:v:3:y:1999:i:pc:p:3143-3259 is not listed on IDEAS
    14. John R. Graham & Campbell R. Harvey & Manju Puri, 2017. "A Corporate Beauty Contest," Management Science, INFORMS, vol. 63(9), pages 3044-3056, September.
    15. Berggren, Niclas & Jordahl, Henrik & Poutvaara, Panu, 2010. "The looks of a winner: Beauty and electoral success," Journal of Public Economics, Elsevier, vol. 94(1-2), pages 8-15, February.
    16. Bradley J. Ruffle & Ze'ev Shtudiner, 2015. "Are Good-Looking People More Employable?," Management Science, INFORMS, vol. 61(8), pages 1760-1776, August.
    17. Cecilia Rouse & Claudia Goldin, 2000. "Orchestrating Impartiality: The Impact of "Blind" Auditions on Female Musicians," American Economic Review, American Economic Association, vol. 90(4), pages 715-741, September.
    18. Clement, Michael B., 1999. "Analyst forecast accuracy: Do ability, resources, and portfolio complexity matter?," Journal of Accounting and Economics, Elsevier, vol. 27(3), pages 285-303, July.
    19. Lily Hua Fang & Sterling Huang, 2017. "Gender and Connections among Wall Street Analysts," Review of Financial Studies, Society for Financial Studies, vol. 30(9), pages 3305-3335.
    20. Catherine C. Eckel & Ragan Petrie, 2011. "Face Value," American Economic Review, American Economic Association, vol. 101(4), pages 1497-1513, June.
    21. Peter Kuhn & Kailing Shen, 2013. "Gender Discrimination in Job Ads: Evidence from China," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(1), pages 287-336.
    22. Deryugina, Tatyana & Shurchkov, Olga, 2015. "Now you see it, now you don’t: The vanishing beauty premium," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 331-345.
    23. Harrison Hong & Jeffrey D. Kubik, 2003. "Analyzing the Analysts: Career Concerns and Biased Earnings Forecasts," Journal of Finance, American Finance Association, vol. 58(1), pages 313-351, February.
    24. Biddle, Jeff E & Hamermesh, Daniel S, 1998. "Beauty, Productivity, and Discrimination: Lawyers' Looks and Lucre," Journal of Labor Economics, University of Chicago Press, vol. 16(1), pages 172-201, January.
    25. William A. Darity & Patrick L. Mason, 1998. "Evidence on Discrimination in Employment: Codes of Color, Codes of Gender," Journal of Economic Perspectives, American Economic Association, vol. 12(2), pages 63-90, Spring.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Jin, Han & Mazouz, Khelifa & Wu, Yuliang & Xu, Bin, 2023. "Can star analysts make superior coverage decisions in poor information environment?," Journal of Banking & Finance, Elsevier, vol. 146(C).
    2. Mo, Kyoungwon & Ha, Wonsuk & Park, Kyung-Jin, 2023. "Market reaction to analyst forecasts by analysts with familyship: Evidence from South Korea," Finance Research Letters, Elsevier, vol. 55(PB).
    3. Lin Peng & Siew Hong Teoh & Yakun Wang & Jiawen Yan, 2022. "Face Value: Trait Impressions, Performance Characteristics, and Market Outcomes for Financial Analysts," Journal of Accounting Research, Wiley Blackwell, vol. 60(2), pages 653-705, May.
    4. Bhagwat, Vineet & Shirley, Sara E. & Stark, Jeffrey R., 2023. "Gender, learning, and earnings estimate accuracy," Journal of Financial Markets, Elsevier, vol. 62(C).
    5. David Ong, 2022. "The college admissions contribution to the labor market beauty premium," Contemporary Economic Policy, Western Economic Association International, vol. 40(3), pages 491-512, July.
    6. Ruffle, Bradley J. & Sherman, Arie & Shtudiner, Zeev, 2022. "Gender and beauty price discrimination in produce markets," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 97(C).
    7. Wang, Yang & Zhang, Yifei & Kang, Wei & Ahmed, Ahmed Hassan, 2022. "Female analysts and COVID-19 corporate donation," Emerging Markets Review, Elsevier, vol. 53(C).
    8. Ling, Leng & Luo, Danglun & Li, Xiaoxia & Pan, Xintong, 2022. "Looking good by doing good: CEO attractiveness and corporate philanthropy11We thank the co-editor (Suqin Ge) and the referees for many valuable comments and suggestions. We thank Huimin Li and Jing Sh," China Economic Review, Elsevier, vol. 76(C).
    9. Jiang, Shuai & Guo, Yanhong & Zhou, Wenjun & Li, Xianneng, 2023. "Identifying predictors of analyst rating quality: An ensemble feature selection approach," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1853-1873.
    10. Walaa Wahid ElKelish*, 2023. "Accounting for Corporate Human Rights: Literature Review and Future Insights," Australian Accounting Review, CPA Australia, vol. 33(2), pages 203-226, June.
    11. Huang, Xing & Ivković, Zoran & Jiang, John Xuefeng & Wang, Isabel Yanyan, 2023. "Angel investment and first impressions," Journal of Financial Economics, Elsevier, vol. 149(2), pages 161-178.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ying Cao & Feng Guan & Zengquan Li & Yong George Yang, 2020. "Analysts’ Beauty and Performance," Management Science, INFORMS, vol. 66(9), pages 4315-4335, September.
    2. Dilmaghani, Maryam, 2020. "Beauty perks: Physical appearance, earnings, and fringe benefits," Economics & Human Biology, Elsevier, vol. 38(C).
    3. Joseph T. Halford & Hung‐Chia S. Hsu, 2020. "Beauty is wealth: CEO attractiveness and firm value," The Financial Review, Eastern Finance Association, vol. 55(4), pages 529-556, November.
    4. Bradley J. Ruffle & Ze'ev Shtudiner, 2015. "Are Good-Looking People More Employable?," Management Science, INFORMS, vol. 61(8), pages 1760-1776, August.
    5. Chan, Ho Fai & Ulrich, Fabian & Altman, Hannah & Schmidt, Sascha L. & Schreyer, Dominik & Torgler, Benno, 2022. "Beyond performance? The importance of subjective and objective physical appearance in award nominations and receptions in football," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 271-289.
    6. Ling, Leng & Luo, Danglun & Li, Xiaoxia & Pan, Xintong, 2022. "Looking good by doing good: CEO attractiveness and corporate philanthropy11We thank the co-editor (Suqin Ge) and the referees for many valuable comments and suggestions. We thank Huimin Li and Jing Sh," China Economic Review, Elsevier, vol. 76(C).
    7. Deng, Weiguang & Li, Dayang & Zhou, Dong, 2019. "Beauty and Job Accessibility: New Evidence from a Field Experiment," GLO Discussion Paper Series 369, Global Labor Organization (GLO).
    8. Ahmed, Shaker & Ranta, Mikko & Vähämaa, Emilia & Vähämaa, Sami, 2023. "Facial attractiveness and CEO compensation: Evidence from the banking industry," Journal of Economics and Business, Elsevier, vol. 123(C).
    9. Daniel Bradley & Sinan Gokkaya & Xi Liu, 2020. "Ties That Bind: The Value of Professional Connections to Sell-Side Analysts," Management Science, INFORMS, vol. 66(9), pages 4118-4151, September.
    10. Eiji Yamamura & Ryohei Hayashi & Yoshiro Tsutsui & Fumio Ohtake, 2022. "Racers’ attractive looks, popularity, and performance: how do speedboat racers react to fans’ expectations?," The Japanese Economic Review, Springer, vol. 73(4), pages 597-623, October.
    11. Berggren, Niclas & Jordahl, Henrik & Poutvaara, Panu, 2006. "The Looks of a Winner: Beauty, Gender and Electoral Success," Ratio Working Papers 104, The Ratio Institute.
    12. Balafoutas, Loukas & Fornwagner, Helena & Grosskopf, Brit, 2023. "Predictably competitive? What faces can tell us about competitive behavior," Games and Economic Behavior, Elsevier, vol. 142(C), pages 931-940.
    13. Deryugina, Tatyana & Shurchkov, Olga, 2015. "Now you see it, now you don’t: The vanishing beauty premium," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 331-345.
    14. Peng, Langchuan & Wang, Xi & Ying, Shanshan, 2020. "The heterogeneity of beauty premium in China: Evidence from CFPS," Economic Modelling, Elsevier, vol. 90(C), pages 386-396.
    15. Giovanni Busetta & Fabio Fiorillo & Giulio Palomba, 2021. "The impact of attractiveness on job opportunities in Italy: a gender field experiment," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(1), pages 171-201, April.
    16. Astghik Mavisakalyan, 2016. "Looks matter: Attractiveness and employment in the former soviet union," Bankwest Curtin Economics Centre Working Paper series WP1604, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.
    17. Desai, Pranav, 2021. "Essays in corporate finance and innovation," Other publications TiSEM 1ef5fdc6-9c52-43df-be1a-d, Tilburg University, School of Economics and Management.
    18. Kseniya Bortnikova, 2020. "Beauty and Productivity: A Meta-Analysis," Working Papers IES 2020/18, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jun 2020.
    19. Kapoor, Sacha & Magesan, Arvind, 2019. "Having it easy: Discrimination and specialization in the workplace," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 153-173.
    20. Mavisakalyan, Astghik, 2018. "Do employers reward physical attractiveness in transition countries?," Economics & Human Biology, Elsevier, vol. 28(C), pages 38-52.

    More about this item

    Keywords

    Analysts; Gender; Beauty; Labor market;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

    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:spr:reaccs:v:25:y:2020:i:4:d:10.1007_s11142-020-09542-z. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.