IDEAS home Printed from https://ideas.repec.org/a/sae/vision/v26y2022i4p454-460.html

Does Gender and Family Income Impact Stock Trading of B-School Students? Findings from a Stock Simulation Exercise

Author

Listed:
  • Nisha Prakash
  • Subburaj Alagarsamy

Abstract

Educators across the globe utilize online stock market simulation games to introduce students to trading in the stock market. The primary objective of the simulation exercise is to expose students to the practical application of financial theories on fundamental analysis, stock selection, building an optimal portfolio, monitoring the risk-return characteristics and continuously improving the portfolio based on changing realities. This article utilizes the trading data from a simulation exercise conducted by a leading B-school in India. The exercise was conducted as part of Security Analysis and Portfolio Management (SAPM) course offered by the B-school. The objective of the article is to understand the role of gender and family income in the trading patterns of students in the simulation exercise. The article covers 163 students who were part of the simulation exercise in 2019. The results indicate that male students trade more aggressively than female students, both in terms of number of trades and the number of companies traded. However, the female students reported higher stock trading performance, measured in stock returns. This is observed to be true at all the quartiles, with the largest magnitude of the difference in the mid-quartiles. The study also indicates that the students from wealthier families perform better than those from poorer backgrounds. However, family income is an insignificant differentiating factor. Further, regression analysis indicates that gender is a significant determinant of stock returns. Based on these findings, the authors argue that gender has a significant role in the stock trading performance of B-schoolers. The article contributes to the field of behavioural finance, especially on the literature of gender and performance in financial markets.

Suggested Citation

  • Nisha Prakash & Subburaj Alagarsamy, 2022. "Does Gender and Family Income Impact Stock Trading of B-School Students? Findings from a Stock Simulation Exercise," Vision, , vol. 26(4), pages 454-460, December.
    • Handle: RePEc:sae:vision:v:26:y:2022:i:4:p:454-460
    DOI: 10.1177/0972262921992591
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0972262921992591
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0972262921992591?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
    ---><---

    References listed on IDEAS

    as
    1. Catherine C. Eckel & Philip J. Grossman, 2002. "Sex Differences and Statistical Stereotyping in Attitudes Toward Financial Risk," Monash Economics Working Papers archive-03, Monash University, Department of Economics.
    2. Alice Wieland & James Sundali & Markus Kemmelmeier & Rakesh Sarin, 2014. "Gender differences in the endowment effect: Women pay less, but won't accept less," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 9(6), pages 558-571, November.
    3. Wieland, Alice & Sundali, James & Kemmelmeier, Markus & Sarin, Rakesh, 2014. "Gender differences in the endowment effect: Women pay less, but won’t accept less," Judgment and Decision Making, Cambridge University Press, vol. 9(6), pages 558-571, November.
    4. Almenberg, Johan & Dreber, Anna, 2015. "Gender, stock market participation and financial literacy," Economics Letters, Elsevier, vol. 137(C), pages 140-142.
    5. Abbasali Gabula, 2012. "Experiential learning in management education," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 1(3), pages 319-325.
    6. Eckel, Catherine C. & Grossman, Philip J., 2008. "Men, Women and Risk Aversion: Experimental Evidence," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 113, pages 1061-1073, Elsevier.
    7. John R. Graham & Campbell R. Harvey & Hai Huang, 2009. "Investor Competence, Trading Frequency, and Home Bias," Management Science, INFORMS, vol. 55(7), pages 1094-1106, July.
    8. Brad M. Barber & Terrance Odean, 2001. "Boys will be Boys: Gender, Overconfidence, and Common Stock Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 261-292.
    9. Sarin, Rakesh & Wieland, Alice, 2016. "Risk aversion for decisions under uncertainty: Are there gender differences?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 60(C), pages 1-8.
    10. Rachel Croson & Uri Gneezy, 2009. "Gender Differences in Preferences," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 448-474, June.
    Full references (including those not matched with items on IDEAS)

    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. Salem, Razan, 2019. "Examining the investment behavior of Arab women in the stock market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 151-160.
    2. Yating Chuang & John Chung-En Liu, 2020. "Who wears a mask? Gender differences in risk behaviors in the COVID-19 early days in Taiwan," Economics Bulletin, AccessEcon, vol. 40(4), pages 2619-2627.
    3. Pau Balart & Lara Ezquerra & Iñigo Hernandez-Arenaz, 2022. "Framing effects on risk-taking behavior: evidence from a field experiment in multiple-choice tests," Experimental Economics, Springer;Economic Science Association, vol. 25(4), pages 1268-1297, September.
    4. Sangita Choudhary & Mohit Yadav & Anugamini Priya Srivastava, 2024. "Cognitive Biases Among Millennial Indian Investors: Do Personality and Demographic Factors Matter?," FIIB Business Review, , vol. 13(1), pages 106-117, January.
    5. Cueva, Carlos & Iturbe-Ormaetxe, Iñigo & Ponti, Giovanni & Tomás, Josefa, 2019. "Boys will still be boys: Gender differences in trading activity are not due to differences in (over)confidence," Journal of Economic Behavior & Organization, Elsevier, vol. 160(C), pages 100-120.
    6. Banerjee, Debosree, 2014. "Ethnicity and Gender Differences in Risk, Ambiguity Attitude," GlobalFood Discussion Papers 180978, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    7. Brooks, Chris & Sangiorgi, Ivan & Hillenbrand, Carola & Money, Kevin, 2019. "Experience wears the trousers: Exploring gender and attitude to financial risk," Journal of Economic Behavior & Organization, Elsevier, vol. 163(C), pages 483-515.
    8. Scoppa, Vincenzo & Spanò, Idola Francesca, 2025. "Do Women Ask for Less? Evidence from Reservation Wages in Italy," IZA Discussion Papers 18230, IZA Network @ LISER.
    9. Sumit Agarwal & Jia He & Tien Foo Sing & Jian Zhang, 2018. "Gender Gap in Personal Bankruptcy Risks: Empirical Evidence from Singapore [Large sample properties of matching estimators for average treatment effects]," Review of Finance, European Finance Association, vol. 22(2), pages 813-847.
    10. Grossman, Philip J. & Eckel, Catherine & Komai, Mana & Zhan, Wei, 2019. "It pays to be a man: Rewards for leaders in a coordination game," Journal of Economic Behavior & Organization, Elsevier, vol. 161(C), pages 197-215.
    11. Iriberri, Nagore & Rey-Biel, Pedro, 2021. "Brave boys and play-it-safe girls: Gender differences in willingness to guess in a large scale natural field experiment," European Economic Review, Elsevier, vol. 131(C).
    12. Chen, Yi-Wen & Chu, Li-Hong & Lin, Chu-Bin & Zhao, Ping-Yu, 2025. "CEO gender and M&As: New evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 90(C).
    13. Gustavo Iamin, 2024. "Are crypto-investors overconfident? The role of risk propensity and demographics. Evidence from Brazil and Portugal," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 26(1), pages 147-173, November.
    14. Caliendo, Marco & Lee, Wang-Sheng & Mahlstedt, Robert, 2017. "The gender wage gap and the role of reservation wages: New evidence for unemployed workers," Journal of Economic Behavior & Organization, Elsevier, vol. 136(C), pages 161-173.
    15. Halko, Marja-Liisa & Kaustia, Markku & Alanko, Elias, 2012. "The gender effect in risky asset holdings," Journal of Economic Behavior & Organization, Elsevier, vol. 83(1), pages 66-81.
    16. Boschini, Anne & Muren, Astri & Persson, Mats, 2012. "Constructing gender differences in the economics lab," Journal of Economic Behavior & Organization, Elsevier, vol. 84(3), pages 741-752.
    17. Andrea Lippi & Laura Barbieri & Mariacristina Piva & Werner De Bondt, 2018. "Time-varying risk behavior and prior investment outcomes: Evidence from Italy," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 13(5), pages 471-483, September.
    18. Jacobsen, Ben & Lee, John B. & Marquering, Wessel & Zhang, Cherry Y., 2014. "Gender differences in optimism and asset allocation," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 630-651.
    19. Cortes, Patricia & Pan, Jessica & Pilossoph, Laura & Zafar, Basit, 2021. "Gender Differences in Job Search and the Earnings Gap: Evidence from Business Majors," IZA Discussion Papers 14373, IZA Network @ LISER.
    20. Daniela Beckmann & Lukas Menkhoff, 2008. "Will Women Be Women? Analyzing the Gender Difference among Financial Experts," Kyklos, Wiley Blackwell, vol. 61(3), pages 364-384, August.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:sae:vision:v:26:y:2022:i:4:p:454-460. 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: SAGE Publications (email available below). General contact details of provider: .

    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.