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From Gambling to Gaming: The Crowding Out Effect

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  • Kou, Shubo
  • Ma, Xiyuan

Abstract

This paper investigates how noise trading behavior is influenced by limited attention. As the daily price limit rules of the Chinese stock market provide a scenario for the exhibition of salient payoffs, speculators elevate prices to attract noise traders into the market. Utilizing a series of distraction events stemming from mobile games as exogenous shocks, we obtain statistical evidence that the gambler-like behavior, termed as “Hitting game” may be crowded out. Consistent with our attention mechanism, indicators such as trading volume decline in response to these game shocks.

Suggested Citation

  • Kou, Shubo & Ma, Xiyuan, 2024. "From Gambling to Gaming: The Crowding Out Effect," Finance Research Letters, Elsevier, vol. 59(C).
    • Handle: RePEc:eee:finlet:v:59:y:2024:i:c:s1544612323011637
    DOI: 10.1016/j.frl.2023.104791
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    References listed on IDEAS

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    1. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2012. "Salience Theory of Choice Under Risk," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1243-1285.
    2. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2013. "Salience and Asset Prices," American Economic Review, American Economic Association, vol. 103(3), pages 623-628, May.
    3. Xiong Xiong & Jinchi Liu & Zonghang Yang & Jiatong Han, 2022. "An Agent-Based Model for the Impact of Price Limit Changes on Market Quality," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 21(06), pages 1777-1795, December.
    4. Zhang, Xiaotao & Li, Xinxian & Hao, Jing & Li, Peigong, 2023. "Price limit change and magnet effect: The role of investor attention," Finance Research Letters, Elsevier, vol. 53(C).
    5. Pantzalis, Christos & Ucar, Erdem, 2018. "Allergy onset and local investor distraction," Journal of Banking & Finance, Elsevier, vol. 92(C), pages 115-129.
    6. Chen, Ting & Gao, Zhenyu & He, Jibao & Jiang, Wenxi & Xiong, Wei, 2019. "Daily price limits and destructive market behavior," Journal of Econometrics, Elsevier, vol. 208(1), pages 249-264.
    7. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    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. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    10. Huang, Shiyang & Huang, Yulin & Lin, Tse-Chun, 2019. "Attention allocation and return co-movement: Evidence from repeated natural experiments," Journal of Financial Economics, Elsevier, vol. 132(2), pages 369-383.
    11. Drummond, Philip A., 2023. "Market quality surrounding anticipated distraction events: Evidence from the FIFA World Cup," Journal of Financial Markets, Elsevier, vol. 63(C).
    12. Seasholes, Mark S. & Wu, Guojun, 2007. "Predictable behavior, profits, and attention," Journal of Empirical Finance, Elsevier, vol. 14(5), pages 590-610, December.
    13. Joel Peress & Daniel Schmidt, 2020. "Glued to the TV: Distracted Noise Traders and Stock Market Liquidity," Journal of Finance, American Finance Association, vol. 75(2), pages 1083-1133, April.
    14. Mark Grinblatt & Matti Keloharju, 2009. "Sensation Seeking, Overconfidence, and Trading Activity," Journal of Finance, American Finance Association, vol. 64(2), pages 549-578, April.
    15. Zhaunerchyk, Katsiaryna & Haghighi, Afshin & Oliver, Barry, 2020. "Distraction effects on stock return co-movements: Confirmation from the Shenzhen and Shanghai stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
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    More about this item

    Keywords

    Salience theory; Noise trader; Limited attention;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G40 - Financial Economics - - Behavioral Finance - - - General

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