IDEAS home Printed from https://ideas.repec.org/a/kap/rqfnac/v54y2020i2d10.1007_s11156-019-00805-8.html
   My bibliography  Save this article

Lucky lots and unlucky investors

Author

Listed:
  • Tao Chen

    (University of Macau)

  • Andreas Karathanasopoulos

    (University of Dubai)

  • Stanley Iat-Meng Ko

    (University of Macau)

  • Chia Chun Lo

    (Prince Mohammad Bin Salman College (MBSC))

Abstract

The number 8 is considered lucky under the Chinese culture. This paper tries to examine whether investors hold such superstitious belief in the Hong Kong Stock Exchange. Using the transaction level data, we first show that more intense net buying occurs at 8-ending lots. Next, we seek favorable evidence in support of financial complexity hypothesis and informed trading hypothesis, both of which are effective in expounding the prevalence of this biased trading behavior. Finally, we find that traders’ learning by means of information acquisition is able to alleviate the lucky-8 effect on superstitious traders.

Suggested Citation

  • Tao Chen & Andreas Karathanasopoulos & Stanley Iat-Meng Ko & Chia Chun Lo, 2020. "Lucky lots and unlucky investors," Review of Quantitative Finance and Accounting, Springer, vol. 54(2), pages 735-751, February.
  • Handle: RePEc:kap:rqfnac:v:54:y:2020:i:2:d:10.1007_s11156-019-00805-8
    DOI: 10.1007/s11156-019-00805-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11156-019-00805-8
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11156-019-00805-8?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. 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. Massimo Massa & Andrei Simonov, 2006. "Hedging, Familiarity and Portfolio Choice," Review of Financial Studies, Society for Financial Studies, vol. 19(2), pages 633-685.
    3. Dongmin Kong & Chen Lin & Shasha Liu, 2019. "Does Information Acquisition Alleviate Market Anomalies? Categorization Bias in Stock Splits," Review of Finance, European Finance Association, vol. 23(1), pages 245-277.
    4. Hasbrouck, Joel, 1991. "Measuring the Information Content of Stock Trades," Journal of Finance, American Finance Association, vol. 46(1), pages 179-207, March.
    5. Ng, Travis & Chong, Terence & Du, Xin, 2010. "The value of superstitions," Journal of Economic Psychology, Elsevier, vol. 31(3), pages 293-309, June.
    6. John A. List, 2011. "Does Market Experience Eliminate Market Anomalies? The Case of Exogenous Market Experience," American Economic Review, American Economic Association, vol. 101(3), pages 313-317, May.
    7. James J. Choi & David Laibson & Brigitte C. Madrian & Andrew Metrick, 2009. "Reinforcement Learning and Savings Behavior," Journal of Finance, American Finance Association, vol. 64(6), pages 2515-2534, December.
    8. Barclay, Michael J. & Warner, Jerold B., 1993. "Stealth trading and volatility : Which trades move prices?," Journal of Financial Economics, Elsevier, vol. 34(3), pages 281-305, December.
    9. Meng, Lei & Verousis, Thanos & ap Gwilym, Owain, 2013. "A substitution effect between price clustering and size clustering in credit default swaps," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 139-152.
    10. David Hirshleifer & Ming Jian & Huai Zhang, 2018. "Superstition and Financial Decision Making," Management Science, INFORMS, vol. 64(1), pages 235-252, January.
    11. Richard Chung & Ali F. Darrat & Bin Li, 2014. "Chinese superstition in US commodity trading," Applied Economics Letters, Taylor & Francis Journals, vol. 21(3), pages 171-175, February.
    12. Wu, Chunchi & Zhang, Wei, 2002. "Trade Disclosure, Information Learning and Securities Market Performance," Review of Quantitative Finance and Accounting, Springer, vol. 18(1), pages 21-38, January.
    13. Weng, Pei-Shih, 2018. "Lucky issuance: The role of numerological superstitions in irrational return premiums," Pacific-Basin Finance Journal, Elsevier, vol. 47(C), pages 79-91.
    14. 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.
    15. Mark Grinblatt & Matti Keloharju, 2009. "Sensation Seeking, Overconfidence, and Trading Activity," Journal of Finance, American Finance Association, vol. 64(2), pages 549-578, April.
    16. Wen-Lin Wu & Yin-Feng Gau, 2017. "Home bias in portfolio choices: social learning among partially informed agents," Review of Quantitative Finance and Accounting, Springer, vol. 48(2), pages 527-556, February.
    17. Nicole M. Fortin & Andrew J. Hill & Jeff Huang, 2014. "Superstition In The Housing Market," Economic Inquiry, Western Economic Association International, vol. 52(3), pages 974-993, July.
    18. Yang, Zili, 2011. "“Lucky” numbers, unlucky consumers," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(5), pages 692-699.
    19. Shum, Matthew & Sun, Wei & Ye, Guangliang, 2014. "Superstition and “lucky” apartments: Evidence from transaction-level data," Journal of Comparative Economics, Elsevier, vol. 42(1), pages 109-117.
    20. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    21. Brad R. Humphreys & Adam Nowak & Yang Zhou, 2019. "Superstition and real estate prices: transaction-level evidence from the US housing market," Applied Economics, Taylor & Francis Journals, vol. 51(26), pages 2818-2841, June.
    22. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    23. Todd Mitton & Keith Vorkink, 2007. "Equilibrium Underdiversification and the Preference for Skewness," Review of Financial Studies, Society for Financial Studies, vol. 20(4), pages 1255-1288.
    24. Michael Rehm & Shuzhen Chen & Olga Filippova, 2017. "House prices and superstition among ethnic Chinese and non-Chinese homebuyers in Auckland, New Zealand," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 11(1), pages 34-44, November.
    25. Brad M. Barber & Terrance Odean, 2000. "Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors," Journal of Finance, American Finance Association, vol. 55(2), pages 773-806, April.
    26. Shefrin, Hersh & Statman, Meir, 1985. "The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence," Journal of Finance, American Finance Association, vol. 40(3), pages 777-790, July.
    27. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    28. Utpal Bhattacharya & Wei-Yu Kuo & Tse-Chun Lin & Jing Zhao, 2018. "Do Superstitious Traders Lose Money?," Management Science, INFORMS, vol. 64(8), pages 3772-3791, August.
    29. Chih-Hsiang Chang & Shan-Shan Chen & Song-Lin Hsieh, 2017. "Asymmetric Reinforcement Learning and Conditioned Responses During the 2007–2009 Global Financial Crisis: Evidence from Taiwan," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 20(02), pages 1-44, June.
    30. Cade Massey & Richard H. Thaler, 2013. "The Loser's Curse: Decision Making and Market Efficiency in the National Football League Draft," Management Science, INFORMS, vol. 59(7), pages 1479-1495, July.
    31. Michael J. Barclay, 2003. "Price Discovery and Trading After Hours," Review of Financial Studies, Society for Financial Studies, vol. 16(4), pages 1041-1073.
    32. Benjamin R. Auer, 2015. "Superstitious seasonality in precious metals markets? Evidence from GARCH models with time-varying skewness and kurtosis," Applied Economics, Taylor & Francis Journals, vol. 47(27), pages 2844-2859, June.
    33. Goodman, Joseph K. & Irwin, Julie R., 2006. "Special random numbers: Beyond the illusion of control," Organizational Behavior and Human Decision Processes, Elsevier, vol. 99(2), pages 161-174, March.
    34. John A. List, 2003. "Does Market Experience Eliminate Market Anomalies?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 41-71.
    35. 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.
    36. Steven D. Levitt & John A. List, 2007. "What Do Laboratory Experiments Measuring Social Preferences Reveal About the Real World?," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 153-174, Spring.
    37. 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.
    38. James J. Choi & David Laibson & Brigitte C. Madrian & Andrew Metrick, 2009. "Reinforcement Learning and Savings Behavior," Journal of Finance, American Finance Association, vol. 64(6), pages 2515-2534, December.
    39. Ke, Wen-Chyan & Chen, Hueiling & Lin, Hsiou-Wei W. & Liu, Yo-Chia, 2017. "The impact of numerical superstition on the final digit of stock price," The North American Journal of Economics and Finance, Elsevier, vol. 39(C), pages 145-157.
    40. Agarwal, Sumit & He, Jia & Liu, Haoming & Png, I. P. L. & Sing, Tien Foo & Wong, Wei-Kang, 2016. "Superstition, Conspicuous Spending, and Housing Markets: Evidence from Singapore," IZA Discussion Papers 9899, Institute of Labor Economics (IZA).
    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. Cheng, Feiyang & Chiao, Chaoshin & Wang, Chunfeng & Fang, Zhenming & Yao, Shouyu, 2021. "Does retail investor attention improve stock liquidity? A dynamic perspective," Economic Modelling, Elsevier, vol. 94(C), pages 170-183.

    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. Barber, Brad M. & Odean, Terrance, 2013. "The Behavior of Individual Investors," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1533-1570, Elsevier.
    2. Guiso, Luigi & Sodini, Paolo, 2013. "Household Finance: An Emerging Field," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1397-1532, Elsevier.
    3. Utpal Bhattacharya & Wei-Yu Kuo & Tse-Chun Lin & Jing Zhao, 2018. "Do Superstitious Traders Lose Money?," Management Science, INFORMS, vol. 64(8), pages 3772-3791, August.
    4. Cary Frydman & Nicholas Barberis & Colin Camerer & Peter Bossaerts & Antonio Rangel, 2012. "Using Neural Data to Test a Theory of Investor Behavior: An Application to Realization Utility," NBER Working Papers 18562, National Bureau of Economic Research, Inc.
    5. Juhani T. Linnainmaa, 2011. "Why Do (Some) Households Trade So Much?," Review of Financial Studies, Society for Financial Studies, vol. 24(5), pages 1630-1666.
    6. Francisco Gomes & Michael Haliassos & Tarun Ramadorai, 2021. "Household Finance," Journal of Economic Literature, American Economic Association, vol. 59(3), pages 919-1000, September.
    7. Roger, Patrick & D’Hondt, Catherine & Plotkina, Daria & Hoffmann, Arvid, 2022. "Number 19: Another Victim of the COVID‐19 Pandemic?," LIDAM Discussion Papers LFIN 2022007, Université catholique de Louvain, Louvain Finance (LFIN).
    8. David Hirshleife, 2015. "Behavioral Finance," Annual Review of Financial Economics, Annual Reviews, vol. 7(1), pages 133-159, December.
    9. Arnold, Marc & Pelster, Matthias & Subrahmanyam, Marti G., 2022. "Attention triggers and investors’ risk-taking," Journal of Financial Economics, Elsevier, vol. 143(2), pages 846-875.
    10. Maggie Rong Hu & Xiaoyang Li & Yang Shi & Xiaoquan (Michael) Zhang, 2023. "Numerological Heuristics and Credit Risk in Peer-to-Peer Lending," Information Systems Research, INFORMS, vol. 34(4), pages 1744-1760, December.
    11. Bai, Min & Xu, Limin & Yu, Chia-Feng (Jeffrey) & Zurbruegg, Ralf, 2020. "Superstition and stock price crash risk," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
    12. Tekçe, Bülent & Yılmaz, Neslihan & Bildik, Recep, 2016. "What factors affect behavioral biases? Evidence from Turkish individual stock investors," Research in International Business and Finance, Elsevier, vol. 37(C), pages 515-526.
    13. Itzhak Venezia, 2018. "Lecture Notes in Behavioral Finance," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 10751, January.
    14. Hwang, Soosung & Cho, Youngha & Noh, Sanha, 2022. "The cost of overconfidence in public information," International Review of Financial Analysis, Elsevier, vol. 79(C).
    15. Kenneth Yung & Yen-Chih Liu, 2009. "Implications of futures trading volume: Hedgers versus speculators," Journal of Asset Management, Palgrave Macmillan, vol. 10(5), pages 318-337, December.
    16. Camille Magron & Maxime Merli, 2012. "Stocks repurchase and sophistication of individual investors," Working Papers of LaRGE Research Center 2012-02, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    17. Khan, Mohammad Tariqul Islam & Tan, Siow-Hooi & Chong, Lee-Lee, 2017. "How past perceived portfolio returns affect financial behaviors—The underlying psychological mechanism," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1478-1488.
    18. Glaser, Markus & Weber, Martin, 2009. "Which past returns affect trading volume?," Journal of Financial Markets, Elsevier, vol. 12(1), pages 1-31, February.
    19. Edika Quispe-Torreblanca & John Gathergood & George Loewenstein & Neil Stewart, 2020. "Attention Utility: Evidence from Individual Investors," CESifo Working Paper Series 8091, CESifo.
    20. Brad R. Humphreys & Adam Nowak & Yang Zhou, 2016. "Cultural Superstitions and Residential Real Estate Prices: Transaction-level Evidence from the US Housing Market," Working Papers 16-27, Department of Economics, West Virginia University.

    More about this item

    Keywords

    Lot sizes; Lucky numbers; Trading biases; Learning effects;
    All these keywords.

    JEL classification:

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

    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:kap:rqfnac:v:54:y:2020:i:2:d:10.1007_s11156-019-00805-8. 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://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.