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Limited Cognition and Clustered Asset Prices: Evidence from Betting Markets

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  • Alasdair Brown

    (University of East Anglia)

  • Fuyu Yang

    (University of East Anglia)

Abstract

Asset prices tend to cluster at round numbers. We examine betting exchange data on U.K. horse races to establish whether limited cognition is partially responsible for this clustering. The key tool in this study is the stark increase in cognitive load faced by traders during races compared to prior to races. Using an approach that is part regression discontinuity and part difference-in-difference, we find that traders exhibit a substantially higher propensity to quote round numbers during races. This result is robust to a series of placebo tests, and also to the use of bounds to deal with missing data.

Suggested Citation

  • Alasdair Brown & Fuyu Yang, 2013. "Limited Cognition and Clustered Asset Prices: Evidence from Betting Markets," University of East Anglia Applied and Financial Economics Working Paper Series 054, School of Economics, University of East Anglia, Norwich, UK..
    • Handle: RePEc:uea:aepppr:2012_54
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    References listed on IDEAS

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    1. Wei-Yu Kuo & Tse-Chun Lin & Jing Zhao, 2015. "Cognitive Limitation and Investment Performance: Evidence from Limit Order Clustering," Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 838-875.
    2. Victor Niederhoffer, 1965. "A New Look at Clustering of Stock Prices," The Journal of Business, University of Chicago Press, vol. 39, pages 309-309.
    3. Nicola Lacetera & Devin G. Pope & Justin R. Sydnor, 2012. "Heuristic Thinking and Limited Attention in the Car Market," American Economic Review, American Economic Association, vol. 102(5), pages 2206-2236, August.
    4. Sonnemans, Joep, 2006. "Price clustering and natural resistance points in the Dutch stock market: A natural experiment," European Economic Review, Elsevier, vol. 50(8), pages 1937-1950, November.
    5. Abadie, Alberto & Imbens, Guido W., 2011. "Bias-Corrected Matching Estimators for Average Treatment Effects," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 1-11.
    6. Meghan R. Busse & Nicola Lacetera & Devin G. Pope & Jorge Silva-Risso & Justin R. Sydnor, 2013. "Estimating the Effect of Salience in Wholesale and Retail Car Markets," American Economic Review, American Economic Association, vol. 103(3), pages 575-579, May.
    7. Harris, Lawrence, 1991. "Stock Price Clustering and Discreteness," Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 389-415.
    8. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    9. Utpal Bhattacharya & Craig W. Holden & Stacey Jacobsen, 2012. "Penny Wise, Dollar Foolish: Buy-Sell Imbalances On and Around Round Numbers," Management Science, INFORMS, vol. 58(2), pages 413-431, February.
    10. ap Gwilym, Owain & Clare, Andrew & Thomas, Stephen, 1998. "Price clustering and bid-ask spreads in international bond futures," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 8(3-4), pages 377-391, December.
    11. Alasdair Brown, 2014. "Information Processing Constraints and Asset Mispricing," Economic Journal, Royal Economic Society, vol. 124(575), pages 245-268, March.
    12. Stefano Dellavigna & Joshua M. Pollet, 2009. "Investor Inattention and Friday Earnings Announcements," Journal of Finance, American Finance Association, vol. 64(2), pages 709-749, April.
    13. Sopranzetti, Ben J. & Datar, Vinay, 2002. "Price clustering in foreign exchange spot markets," Journal of Financial Markets, Elsevier, vol. 5(4), pages 411-417, October.
    14. Victor Niederhoffer, 1965. "Clustering of Stock Prices," Operations Research, INFORMS, vol. 13(2), pages 258-265, April.
    15. David Hirshleifer & Sonya Seongyeon Lim & Siew Hong Teoh, 2009. "Driven to Distraction: Extraneous Events and Underreaction to Earnings News," Journal of Finance, American Finance Association, vol. 64(5), pages 2289-2325, October.
    16. Ahn, Hee-Joon & Cai, Jun & Cheung, Yan Leung, 2005. "Price clustering on the limit-order book: Evidence from the Stock Exchange of Hong Kong," Journal of Financial Markets, Elsevier, vol. 8(4), pages 421-451, November.
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    Cited by:

    1. Dave Cliff & James Hawkins & James Keen & Roberto Lau-Soto, 2021. "Implementing the BBE Agent-Based Model of a Sports-Betting Exchange," Papers 2108.02419, arXiv.org.
    2. Justin Cox & Adam L. Schwartz & Bonnie F. Van Ness & Robert A. Van Ness, 2021. "The Predictive Power of College Football Spreads: Regular Season Versus Bowl Games," Journal of Sports Economics, , vol. 22(3), pages 251-273, April.
    3. Mills, Brian M. & Salaga, Steven, 2018. "A natural experiment for efficient markets: Information quality and influential agents," Journal of Financial Markets, Elsevier, vol. 40(C), pages 23-39.
    4. Telli, Şahin & Zhao, Xufeng, 2023. "Clustering in Bitcoin balance," Finance Research Letters, Elsevier, vol. 55(PA).
    5. Urquhart, Andrew, 2017. "Price clustering in Bitcoin," Economics Letters, Elsevier, vol. 159(C), pages 145-148.
    6. Donglian Ma & Hisashi Tanizaki, 2022. "Intraday patterns of price clustering in Bitcoin," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
    7. Gao, Shenghao & Lu, Ruichang & Ni, Chenkai, 2019. "Institutional investors’ cognitive constraints during initial public offerings," Journal of Banking & Finance, Elsevier, vol. 108(C).
    8. Alasdair Brown & Fuyu Yang, 2017. "Salience and the Disposition Effect: Evidence from the Introduction of “Cash‐Outs” in Betting Markets," Southern Economic Journal, John Wiley & Sons, vol. 83(4), pages 1052-1073, April.
    9. Ahmed S. Baig & Benjamin M. Blau & R. Jared DeLisle, 2022. "Does mutual fund ownership reduce stock price clustering? Evidence from active and index funds," Review of Quantitative Finance and Accounting, Springer, vol. 58(2), pages 615-647, February.
    10. Quiroga-Garcia, Raquel & Pariente-Martinez, Natalia & Arenas-Parra, Mar, 2022. "Evidence for round number effects in cryptocurrencies prices," Finance Research Letters, Elsevier, vol. 47(PB).
    11. Dave Cliff, 2021. "BBE: Simulating the Microstructural Dynamics of an In-Play Betting Exchange via Agent-Based Modelling," Papers 2105.08310, arXiv.org.
    12. Baig, Ahmed S. & Sabah, Nasim, 2020. "Does short selling affect the clustering of stock prices?," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 270-277.

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    More about this item

    JEL classification:

    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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