IDEAS home Printed from https://ideas.repec.org/a/eee/pacfin/v73y2022ics0927538x22000622.html
   My bibliography  Save this article

The influence of mobile trading on return dispersion and herding behavior

Author

Listed:
  • Li, Zhuolei
  • Diao, Xundi
  • Wu, Chongfeng

Abstract

Combining behavioral finance and asset pricing theory, we propose a modified empirical model to examine equity return dispersion and herding behavior. We verify the effectiveness of risk factors in explaining market dispersion and study how mobile trading is related to market dispersion and herding behaviors. Our findings indicate that mobile trading would make the market herd more, and the effect is not driven by mobile traders’ characteristic preferences or the market bubble and crash. Besides, our results support a different composition of mobile traders after a policy change on trading accounts, and this difference leads to the opposite impact of mobile trading on return dispersion after 2015.

Suggested Citation

  • Li, Zhuolei & Diao, Xundi & Wu, Chongfeng, 2022. "The influence of mobile trading on return dispersion and herding behavior," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    • Handle: RePEc:eee:pacfin:v:73:y:2022:i:c:s0927538x22000622
    DOI: 10.1016/j.pacfin.2022.101767
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927538X22000622
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.pacfin.2022.101767?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. Chang, Eric C. & Cheng, Joseph W. & Khorana, Ajay, 2000. "An examination of herd behavior in equity markets: An international perspective," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1651-1679, October.
    2. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W., 1992. "The impact of institutional trading on stock prices," Journal of Financial Economics, Elsevier, vol. 32(1), pages 23-43, August.
    3. Paul A. Gompers & Andrew Metrick, 2001. "Institutional Investors and Equity Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 229-259.
    4. Shleifer, Andrei & Summers, Lawrence H, 1990. "The Noise Trader Approach to Finance," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 19-33, Spring.
    5. Marco Cipriani & Antonio Guarino, 2005. "Herd Behavior in a Laboratory Financial Market," American Economic Review, American Economic Association, vol. 95(5), pages 1427-1443, December.
    6. Baker, Malcolm & Stein, Jeremy C., 2004. "Market liquidity as a sentiment indicator," Journal of Financial Markets, Elsevier, vol. 7(3), pages 271-299, June.
    7. Tedeschi, Gabriele & Iori, Giulia & Gallegati, Mauro, 2012. "Herding effects in order driven markets: The rise and fall of gurus," Journal of Economic Behavior & Organization, Elsevier, vol. 81(1), pages 82-96.
    8. Chao Li & Zongyi Hu & Liwei Tang, 2019. "Re-examining the Chinese A-share herding behaviour with a Fama-French augmented seven-factor model," Applied Economics, Taylor & Francis Journals, vol. 51(5), pages 488-508, January.
    9. Edward A. Dyl, 2006. "The Share Price Puzzle," The Journal of Business, University of Chicago Press, vol. 79(4), pages 2045-2066, July.
    10. Li Liao & Zhengwei Wang & Jia Xiang & Hongjun Yan & Jun Yang & LaurenCohen, 2021. "User Interface and Firsthand Experience in Retail Investing," Review of Financial Studies, Society for Financial Studies, vol. 34(9), pages 4486-4523.
    11. Birru, Justin & Wang, Baolian, 2016. "Nominal price illusion," Journal of Financial Economics, Elsevier, vol. 119(3), pages 578-598.
    12. Brunnermeier, Markus K., 2001. "Asset Pricing under Asymmetric Information: Bubbles, Crashes, Technical Analysis, and Herding," OUP Catalogue, Oxford University Press, number 9780198296980, Decembrie.
    13. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    14. Welch, Ivo, 1992. "Sequential Sales, Learning, and Cascades," Journal of Finance, American Finance Association, vol. 47(2), pages 695-732, June.
    15. Brown, T. & Grant, Stephanie M. & Winn, Amanda M., 2020. "The effect of mobile device use and headline focus on investor judgments," Accounting, Organizations and Society, Elsevier, vol. 83(C).
    16. De Long, J Bradford & Shleifer, Andrei & Summers, Lawrence H & Waldmann, Robert J, 1991. "The Survival of Noise Traders in Financial Markets," The Journal of Business, University of Chicago Press, vol. 64(1), pages 1-19, January.
    17. Paul Schultz, 2000. "Stock Splits, Tick Size, and Sponsorship," Journal of Finance, American Finance Association, vol. 55(1), pages 429-450, February.
    18. Guo, Bin & Zhang, Wei & Zhang, Yongjie & Zhang, Han, 2017. "The five-factor asset pricing model tests for the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 84-106.
    19. Kaizoji, Taisei & Leiss, Matthias & Saichev, Alexander & Sornette, Didier, 2015. "Super-exponential endogenous bubbles in an equilibrium model of fundamentalist and chartist traders," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 289-310.
    20. Economou, Fotini & Kostakis, Alexandros & Philippas, Nikolaos, 2011. "Cross-country effects in herding behaviour: Evidence from four south European markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(3), pages 443-460, July.
    21. Trueman, Brett, 1994. "Analyst Forecasts and Herding Behavior," Review of Financial Studies, Society for Financial Studies, vol. 7(1), pages 97-124.
    22. Kewei Hou & Chen Xue & Lu Zhang, 2015. "Editor's Choice Digesting Anomalies: An Investment Approach," Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 650-705.
    23. Gregory S. Miller & Douglas J. Skinner, 2015. "The Evolving Disclosure Landscape: How Changes in Technology, the Media, and Capital Markets Are Affecting Disclosure," Journal of Accounting Research, Wiley Blackwell, vol. 53(2), pages 221-239, May.
    24. Keiichi Kubota & Hitoshi Takehara, 2018. "Does the Fama and French Five†Factor Model Work Well in Japan?," International Review of Finance, International Review of Finance Ltd., vol. 18(1), pages 137-146, March.
    25. Takeda, Fumiko & Wakao, Takumi, 2014. "Google search intensity and its relationship with returns and trading volume of Japanese stocks," Pacific-Basin Finance Journal, Elsevier, vol. 27(C), pages 1-18.
    26. Galariotis, Emilios C. & Rong, Wu & Spyrou, Spyros I., 2015. "Herding on fundamental information: A comparative study," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 589-598.
    27. Yao, Juan & Ma, Chuanchan & He, William Peng, 2014. "Investor herding behaviour of Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 12-29.
    28. Galariotis, Emilios C. & Krokida, Styliani-Iris & Spyrou, Spyros I., 2016. "Bond market investor herding: Evidence from the European financial crisis," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 367-375.
    29. Alok Kumar, 2009. "Who Gambles in the Stock Market?," Journal of Finance, American Finance Association, vol. 64(4), pages 1889-1933, August.
    30. Hirshleifer, David & Subrahmanyam, Avanidhar & Titman, Sheridan, 1994. "Security Analysis and Trading Patterns When Some Investors Receive Information before Others," Journal of Finance, American Finance Association, vol. 49(5), pages 1665-1698, December.
    31. Froot, Kenneth A & Scharftstein, David S & Stein, Jeremy C, 1992. "Herd on the Street: Informational Inefficiencies in a Market with Short-Term Speculation," Journal of Finance, American Finance Association, vol. 47(4), pages 1461-1484, September.
    32. Raghuram G. Rajan, 2006. "Has Finance Made the World Riskier?," European Financial Management, European Financial Management Association, vol. 12(4), pages 499-533, September.
    33. Scharfstein, David S & Stein, Jeremy C, 1990. "Herd Behavior and Investment," American Economic Review, American Economic Association, vol. 80(3), pages 465-479, June.
    34. . Harshita & Shveta Singh & Surendra S. Yadav, 2015. "Indian stock market and the asset pricing models," Proceedings of Economics and Finance Conferences 2204802, International Institute of Social and Economic Sciences.
    35. Gleason, Kimberly C. & Mathur, Ike & Peterson, Mark A., 2004. "Analysis of intraday herding behavior among the sector ETFs," Journal of Empirical Finance, Elsevier, vol. 11(5), pages 681-694, December.
    36. Gregory D. Saxton, 2012. "New Media and External Accounting Information: A Critical Review," Australian Accounting Review, CPA Australia, vol. 22(3), pages 286-302, September.
    37. Wang, Yudong & Diao, Xundi & Pan, Zhiyuan & Wu, Chongfeng, 2019. "Heterogeneous beliefs and aggregate market volatility revisited: New evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 55(C), pages 127-141.
    38. Wenting Jiao & Lilti Jean-Jacques, 2017. "Whether profitability and investment factors have additional explanatory power compared with Fama-French three-factor model: Empirical evidence on Chinese A-share stock market," China Finance and Economic Review, De Gruyter, vol. 6(2), pages 3-22, June.
    39. Zaremba, Adam & Czapkiewicz, Anna, 2017. "Digesting anomalies in emerging European markets: A comparison of factor pricing models," Emerging Markets Review, Elsevier, vol. 31(C), pages 1-15.
    40. Frankel, R & Johnson, M & Skinner, DJ, 1999. "An empirical examination of conference calls as a voluntary disclosure medium," Journal of Accounting Research, Wiley Blackwell, vol. 37(1), pages 133-150.
    41. Hwang, Soosung & Salmon, Mark, 2004. "Market stress and herding," Journal of Empirical Finance, Elsevier, vol. 11(4), pages 585-616, September.
    42. Chiang, Thomas C. & Zheng, Dazhi, 2010. "An empirical analysis of herd behavior in global stock markets," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1911-1921, August.
    43. Avery, Christopher & Zemsky, Peter, 1998. "Multidimensional Uncertainty and Herd Behavior in Financial Markets," American Economic Review, American Economic Association, vol. 88(4), pages 724-748, September.
    44. Francesco A. Franzoni & Martin C. Schmalz, 2013. "Fund Flows and Market States," Swiss Finance Institute Research Paper Series 13-41, Swiss Finance Institute, revised Jun 2017.
    45. Russ Wermers, 1999. "Mutual Fund Herding and the Impact on Stock Prices," Journal of Finance, American Finance Association, vol. 54(2), pages 581-622, April.
    46. Nerissa C. Brown & Han Stice & Roger M. White, 2015. "Mobile Communication and Local Information Flow: Evidence from Distracted Driving Laws," Journal of Accounting Research, Wiley Blackwell, vol. 53(2), pages 275-329, May.
    47. Tan, Lin & Chiang, Thomas C. & Mason, Joseph R. & Nelling, Edward, 2008. "Herding behavior in Chinese stock markets: An examination of A and B shares," Pacific-Basin Finance Journal, Elsevier, vol. 16(1-2), pages 61-77, January.
    48. Grinblatt, Mark & Titman, Sheridan & Wermers, Russ, 1995. "Momentum Investment Strategies, Portfolio Performance, and Herding: A Study of Mutual Fund Behavior," American Economic Review, American Economic Association, vol. 85(5), pages 1088-1105, December.
    49. Avanidhar Subrahmanyam, 2005. "On the Stability of the Cross‐Section of Expected Stock Returns in the Cross‐Section: Understanding the Curious Role of Share Turnover," European Financial Management, European Financial Management Association, vol. 11(5), pages 661-678, November.
    50. François-Eric Racicot & William F. Rentz, 2017. "A panel data robust instrumental variable approach: a test of the new Fama-French five-factor model," Applied Economics Letters, Taylor & Francis Journals, vol. 24(6), pages 410-416, March.
    51. Yonghong Jin & Mengya Yan & Yuqin Xi & Chunmei Liu, 2016. "Stock price synchronicity and stock price crash risk," China Finance Review International, Emerald Group Publishing Limited, vol. 6(3), pages 230-244, August.
    52. Timm O. Sprenger & Andranik Tumasjan & Philipp G. Sandner & Isabell M. Welpe, 2014. "Tweets and Trades: the Information Content of Stock Microblogs," European Financial Management, European Financial Management Association, vol. 20(5), pages 926-957, November.
    53. Francesco Franzoni & Martin C. Schmalz, 2017. "Fund Flows and Market States," Review of Financial Studies, Society for Financial Studies, vol. 30(8), pages 2621-2673.
    54. Sumit Agarwal & Yeow Hwee Chua, 2020. "FinTech and household finance: a review of the empirical literature," China Finance Review International, Emerald Group Publishing Limited, vol. 10(4), pages 361-376, May.
    55. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    56. Wenting Jiao & Jean-Jacques Lilti, 2017. "Whether profitability and investment factors have additional explanatory power comparing with Fama-French Three-Factor Model: empirical evidence on Chinese A-share stock market," China Finance and Economic Review, Springer, vol. 5(1), pages 1-19, December.
    57. Abderrazak Dhaoui & Nesrine Bensalah, 2017. "Asset valuation impact of investor sentiment: A revised Fama–French five-factor model," Journal of Asset Management, Palgrave Macmillan, vol. 18(1), pages 16-28, January.
    58. Werner Antweiler & Murray Z. Frank, 2004. "Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards," Journal of Finance, American Finance Association, vol. 59(3), pages 1259-1294, June.
    59. Alhaj-Yaseen, Yaseen S. & Yau, Siu-Kong, 2018. "Herding tendency among investors with heterogeneous information: Evidence from China’s equity markets," Journal of Multinational Financial Management, Elsevier, vol. 47, pages 60-75.
    60. John R. Graham, 1999. "Herding among Investment Newsletters: Theory and Evidence," Journal of Finance, American Finance Association, vol. 54(1), pages 237-268, February.
    61. Xie, Tian & Xu, Yi & Zhang, Xinsheng, 2015. "A new method of measuring herding in stock market and its empirical results in Chinese A-share market," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 324-339.
    62. Lin, Qi, 2017. "Noisy prices and the Fama–French five-factor asset pricing model in China," Emerging Markets Review, Elsevier, vol. 31(C), pages 141-163.
    63. Datar, Vinay T. & Y. Naik, Narayan & Radcliffe, Robert, 1998. "Liquidity and stock returns: An alternative test," Journal of Financial Markets, Elsevier, vol. 1(2), pages 203-219, August.
    64. Lux, Thomas, 1995. "Herd Behaviour, Bubbles and Crashes," Economic Journal, Royal Economic Society, vol. 105(431), pages 881-896, July.
    65. Bin Gu & Prabhudev Konana & Balaji Rajagopalan & Hsuan-Wei Michelle Chen, 2007. "Competition Among Virtual Communities and User Valuation: The Case of Investing-Related Communities," Information Systems Research, INFORMS, vol. 18(1), pages 68-85, March.
    66. Alok Kumar & Charles M.C. Lee, 2006. "Retail Investor Sentiment and Return Comovements," Journal of Finance, American Finance Association, vol. 61(5), pages 2451-2486, October.
    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. Chen, Xing & Wu, Chongfeng, 2022. "Retail investor attention and information asymmetry: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).

    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. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    2. Wang, Xinru & Kim, Maria H. & Suardi, Sandy, 2022. "Herding and China's market-wide circuit breaker," Journal of Banking & Finance, Elsevier, vol. 141(C).
    3. Galariotis, Emilios C. & Rong, Wu & Spyrou, Spyros I., 2015. "Herding on fundamental information: A comparative study," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 589-598.
    4. Li, Wei & Rhee, Ghon & Wang, Steven Shuye, 2017. "Differences in herding: Individual vs. institutional investors," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 174-185.
    5. Jia, Boxiang & Shen, Dehua & Zhang, Wei, 2022. "Extreme sentiment and herding: Evidence from the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 63(C).
    6. Guney, Yilmaz & Kallinterakis, Vasileios & Komba, Gabriel, 2017. "Herding in frontier markets: Evidence from African stock exchanges," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 47(C), pages 152-175.
    7. Rahman, M. Arifur & Chowdhury, Shah Saeed Hassan & Shibley Sadique, M., 2015. "Herding where retail investors dominate trading: The case of Saudi Arabia," The Quarterly Review of Economics and Finance, Elsevier, vol. 57(C), pages 46-60.
    8. Galariotis, Emilios C. & Krokida, Styliani-Iris & Spyrou, Spyros I., 2016. "Bond market investor herding: Evidence from the European financial crisis," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 367-375.
    9. Hirshleifer, David & Teoh, Siew Hong, 2008. "Thought and Behavior Contagion in Capital Markets," MPRA Paper 9164, University Library of Munich, Germany.
    10. Humayun Kabir, M. & Shakur, Shamim, 2018. "Regime-dependent herding behavior in Asian and Latin American stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 47(C), pages 60-78.
    11. Wang, Hu & Li, Shouwei & Ma, Yuyin, 2021. "Herding in Open-end Funds: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    12. Cui, Yueting & Gebka, Bartosz & Kallinterakis, Vasileios, 2019. "Do closed-end fund investors herd?," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 194-206.
    13. Andrikopoulos, Panagiotis & Kallinterakis, Vasileios & Leite Ferreira, Mario Pedro & Verousis, Thanos, 2017. "Intraday herding on a cross-border exchange," International Review of Financial Analysis, Elsevier, vol. 53(C), pages 25-36.
    14. Pegah Dehghani & Ros Zam Zam Sapian, 2014. "Sectoral herding behavior in the aftermarket of Malaysian IPOs," Venture Capital, Taylor & Francis Journals, vol. 16(3), pages 227-246, July.
    15. Arjoon, Vaalmikki & Bhatnagar, Chandra Shekhar & Ramlakhan, Prakash, 2020. "Herding in the Singapore stock Exchange," Journal of Economics and Business, Elsevier, vol. 109(C).
    16. Lee, Kyuseok, 2017. "Herd behavior of the overall market: Evidence based on the cross-sectional comovement of returns," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 266-284.
    17. Camara, Omar, 2017. "Industry herd behaviour in financing decision making," Journal of Economics and Business, Elsevier, vol. 94(C), pages 32-42.
    18. Demirer, Rıza & Kutan, Ali M. & Zhang, Huacheng, 2014. "Do ADR investors herd?: Evidence from advanced and emerging markets," International Review of Economics & Finance, Elsevier, vol. 30(C), pages 138-148.
    19. Liu, Tengdong & Zheng, Dazhi & Zheng, Suyan & Lu, Yang, 2023. "Herding in Chinese stock markets: Evidence from the dual-investor-group," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    20. I. Koetsier & J.A. Bikker, 2017. "Herding behaviour of Dutch pension funds in sovereign bond investments," Working Papers 17-15, Utrecht School of Economics.

    More about this item

    Keywords

    Fintech; Herding behavior; Mobile trading; Factor model;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • 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:eee:pacfin:v:73:y:2022:i:c:s0927538x22000622. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/pacfin .

    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.