IDEAS home Printed from https://ideas.repec.org/a/oup/revfin/v16y2011i3p685-731.html

Gambling Preference and the New Year Effect of Assets with Lottery Features

Author

Listed:
  • James S. Doran
  • Danling Jiang
  • David R. Peterson

Abstract

This paper shows that a New Year's gambling preference of individual investors impacts prices and returns of assets with lottery features. January call options, especially the out-of-the-money calls, have higher retail demand and are the most expensive and actively traded. Lottery-type stocks outperform their counterparts in January but tend to underperform in other months. Retail sentiment is more bullish in lottery-type stocks in January than in other months. Furthermore, lottery-type Chinese stocks outperform in the Chinese New Year's Month but not in January. This New Year effect provides new insights into the broad phenomena related to the January effect. Copyright 2011, Oxford University Press.

Suggested Citation

  • James S. Doran & Danling Jiang & David R. Peterson, 2011. "Gambling Preference and the New Year Effect of Assets with Lottery Features," Review of Finance, European Finance Association, vol. 16(3), pages 685-731.
  • Handle: RePEc:oup:revfin:v:16:y:2011:i:3:p:685-731
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rof/rfr006
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Zhong, Angel, 2018. "Idiosyncratic volatility in the Australian equity market," Pacific-Basin Finance Journal, Elsevier, vol. 50(C), pages 105-125.
    2. Hsin, Chin-Wen & Peng, Shu-Cing, 2023. "Investor propensity to speculate and price delay in emerging markets," International Review of Financial Analysis, Elsevier, vol. 86(C).
    3. Gan, Christopher & Nartea, Gilbert V. & Wu, Ji (George), 2018. "Predictive ability of low-frequency volatility measures: Evidence from the Hong Kong stock markets," Finance Research Letters, Elsevier, vol. 26(C), pages 40-46.
    4. Stephan Meyer & Sebastian Schroff & Christof Weinhardt, 2014. "(Un)skilled leveraged trading of retail investors," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(2), pages 111-138, May.
    5. Chen, Zhongdong & Daves, Phillip R., 2018. "The January sentiment effect in the U.S. stock market," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 94-104.
    6. Chang, Eric C. & Luo, Yan & Ren, Jinjuan, 2013. "Pricing deviation, misvaluation comovement, and macroeconomic conditions," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5285-5299.
    7. Clark, Gordon L. & Fiaschetti, Maurizio & Tufano, Peter & Viehs, Michael, 2018. "Playing with your future: Who gambles in defined-contribution pension plans?," International Review of Financial Analysis, Elsevier, vol. 60(C), pages 213-225.
    8. Meng, Yun & Pantzalis, Christos, 2018. "Monthly cyclicality in retail Investors’ liquidity and lottery-type stocks at the turn of the month," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 176-191.
    9. Cookson, J. Anthony, 2018. "When saving is gambling," Journal of Financial Economics, Elsevier, vol. 129(1), pages 24-45.
    10. Grace Lepone & Joakim Westerholm & Danika Wright, 2023. "Speculative trading preferences of retail investor birth cohorts," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(1), pages 555-574, March.
    11. Hur, Jungshik & Pettengill, Glenn & Singh, Vivek, 2014. "Market states and the risk-based explanation of the size premium," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 139-150.
    12. Vidal-García, Javier & Vidal, Marta, 2014. "Seasonality and idiosyncratic risk in mutual fund performance," European Journal of Operational Research, Elsevier, vol. 233(3), pages 613-624.
    13. Jiang, Danling & Peterson, David R. & Doran, James S., 2014. "Short-sale constraints and the idiosyncratic volatility puzzle: An event study approach," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 36-59.
    14. Al-Awadhi, Abdullah M., 2019. "Deviation from religious trading norms," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 22-30.
    15. Nguyen, Hung T. & Truong, Cameron, 2018. "When are extreme daily returns not lottery? At earnings announcements!," Journal of Financial Markets, Elsevier, vol. 41(C), pages 92-116.
    16. Justin Cox & Adam Schwartz & Robert Ness, 2020. "Does what happen in Vegas stay in Vegas? Football gambling and stock market activity," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(4), pages 724-748, October.
    17. Chan, Yue-Cheong & Chui, Andy C.W., 2016. "Gambling in the Hong Kong stock market," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 204-218.
    18. Kelley Bergsma & Danling Jiang, 2016. "Cultural New Year Holidays and Stock Returns around the World," Financial Management, Financial Management Association International, vol. 45(1), pages 3-35, March.
    19. Marshall, Ben R. & Visaltanachoti, Nuttawat, 2010. "The Other January Effect: Evidence against market efficiency?," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2413-2424, October.
    20. Li, Xindan & Subrahmanyam, Avanidhar & Yang, Xuewei, 2018. "Can financial innovation succeed by catering to behavioral preferences? Evidence from a callable options market," Journal of Financial Economics, Elsevier, vol. 128(1), pages 38-65.
    21. Haotian Xu & Wei Wei, 2020. "The Market Reaction of Bonus Shares Issuing and the Lottery-like Stock Preference: Evidence from Chinese Stock Market," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(1), pages 1-5.
    22. Yu Liang & Weiqiang Zhang, 2016. "Do Investors Buy Lotteries in China’s Stock Market?," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 6(5), pages 1-5.
    23. Andreou, Panayiotis C. & Kagkadis, Anastasios & Philip, Dennis & Tuneshev, Ruslan, 2018. "Differences in options investors’ expectations and the cross-section of stock returns," Journal of Banking & Finance, Elsevier, vol. 94(C), pages 315-336.

    More about this item

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:oup:revfin:v:16:y:2011:i:3:p:685-731. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/eufaaea.html .

    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.