IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v50y2022ics1544612322004445.html
   My bibliography  Save this article

A taxonomy of individual liquidity provision: Evidence from the Taiwan stock exchange

Author

Listed:
  • Chiou, Calvin J.
  • Zhou, Xiaozhou
  • Chan, Chang

Abstract

Using trade-level data from the Taiwan Stock Exchange, we document an asymmetric pattern of liquidity provision by individual investors who serve as de facto market makers. Specifically, on average, individual investors provide more liquidity during market declines. We further investigate the impact of asymmetric individual liquidity provision on market efficiency. Despite being uninformed, individual investors’ liquidity provision ameliorates market efficiency more during market declines. Our results suggest that individual investors provide liquidity to help those with private information correct prices toward efficient prices, in turn, enhancing market efficiency.

Suggested Citation

  • Chiou, Calvin J. & Zhou, Xiaozhou & Chan, Chang, 2022. "A taxonomy of individual liquidity provision: Evidence from the Taiwan stock exchange," Finance Research Letters, Elsevier, vol. 50(C).
    • Handle: RePEc:eee:finlet:v:50:y:2022:i:c:s1544612322004445
    DOI: 10.1016/j.frl.2022.103246
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612322004445
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2022.103246?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. 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.
    2. van Rooij, Maarten & Lusardi, Annamaria & Alessie, Rob, 2011. "Financial literacy and stock market participation," Journal of Financial Economics, Elsevier, vol. 101(2), pages 449-472, August.
    3. Lo, Andrew W. & MacKinlay, A. Craig, 1989. "The size and power of the variance ratio test in finite samples : A Monte Carlo investigation," Journal of Econometrics, Elsevier, vol. 40(2), pages 203-238, February.
    4. Joshua D. Coval & Tyler Shumway, 2005. "Do Behavioral Biases Affect Prices?," Journal of Finance, American Finance Association, vol. 60(1), pages 1-34, February.
    5. Ron Kaniel & Gideon Saar & Sheridan Titman, 2008. "Individual Investor Trading and Stock Returns," Journal of Finance, American Finance Association, vol. 63(1), pages 273-310, February.
    6. Lien, Donald & Hung, Pi-Hsia & Hung, I-Chun, 2019. "Order price clustering, size clustering, and stock price movements: Evidence from the Taiwan Stock Exchange," Journal of Empirical Finance, Elsevier, vol. 52(C), pages 149-177.
    7. Hung, Pi-Hsia & Lien, Donald, 2019. "Trading aggressiveness, order execution quality, and stock price movements: Evidence from the Taiwan stock exchange," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 60(C), pages 231-251.
    8. Andrade, Sandro C. & Chang, Charles & Seasholes, Mark S., 2008. "Trading imbalances, predictable reversals, and cross-stock price pressure," Journal of Financial Economics, Elsevier, vol. 88(2), pages 406-423, May.
    9. repec:bla:jfinan:v:53:y:1998:i:5:p:1775-1798 is not listed on IDEAS
    10. Jiangze Bian & Kalok Chan & Donghui Shi & Hao Zhou, 2018. "Do Behavioral Biases Affect Order Aggressiveness?," Review of Finance, European Finance Association, vol. 22(3), pages 1121-1151.
    11. Dominik M. Rösch & Avanidhar Subrahmanyam & Mathijs A. van Dijk, 2017. "The Dynamics of Market Efficiency," The Review of Financial Studies, Society for Financial Studies, vol. 30(4), pages 1151-1187.
    12. Allaudeen Hameed & Wenjin Kang & S. Viswanathan, 2010. "Stock Market Declines and Liquidity," Journal of Finance, American Finance Association, vol. 65(1), pages 257-293, February.
    13. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2005. "Evidence on the speed of convergence to market efficiency," Journal of Financial Economics, Elsevier, vol. 76(2), pages 271-292, May.
    14. Conrad, Jennifer & Wahal, Sunil & Xiang, Jin, 2015. "High-frequency quoting, trading, and the efficiency of prices," Journal of Financial Economics, Elsevier, vol. 116(2), pages 271-291.
    15. Barardehi, Yashar H. & Bernhardt, Dan & Da, Zhi & Mitch Warachka, Mitch, 2022. "Institutional Liquidity Demand and the Internalization of Retail Order Flow : The Tail Does Not Wag the Dog," The Warwick Economics Research Paper Series (TWERPS) 1394, University of Warwick, Department of Economics.
    16. Barrot, Jean-Noel & Kaniel, Ron & Sraer, David, 2016. "Are retail traders compensated for providing liquidity?," Journal of Financial Economics, Elsevier, vol. 120(1), pages 146-168.
    17. Han, Bing & Kumar, Alok, 2013. "Speculative Retail Trading and Asset Prices," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(2), pages 377-404, April.
    18. Ekkehart Boehmer & Charles M. Jones & Xiaoyan Zhang & Xinran Zhang, 2021. "Tracking Retail Investor Activity," Journal of Finance, American Finance Association, vol. 76(5), pages 2249-2305, October.
    19. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    20. 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.
    21. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    22. Klein, Olga, 2020. "Trading aggressiveness and market efficiency," Journal of Financial Markets, Elsevier, vol. 47(C).
    23. Lee, Yi-Tsung & Liu, Yu-Jane & Roll, Richard & Subrahmanyam, Avanidhar, 2004. "Order Imbalances and Market Efficiency: Evidence from the Taiwan Stock Exchange," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(2), pages 327-341, June.
    24. 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.
    25. Jonathan Brogaard & Terrence Hendershott & Ryan Riordan, 2014. "High-Frequency Trading and Price Discovery," The Review of Financial Studies, Society for Financial Studies, vol. 27(8), pages 2267-2306.
    26. Wintoki, M. Babajide & Linck, James S. & Netter, Jeffry M., 2012. "Endogeneity and the dynamics of internal corporate governance," Journal of Financial Economics, Elsevier, vol. 105(3), pages 581-606.
    27. Jeremy C. Stein, 2009. "Presidential Address: Sophisticated Investors and Market Efficiency," Journal of Finance, American Finance Association, vol. 64(4), pages 1517-1548, August.
    28. Hasbrouck, Joel, 1993. "Assessing the Quality of a Security Market: A New Approach to Transaction-Cost Measurement," The Review of Financial Studies, Society for Financial Studies, vol. 6(1), pages 191-212.
    29. Eric K. Kelley & Paul C. Tetlock, 2013. "How Wise Are Crowds? Insights from Retail Orders and Stock Returns," Journal of Finance, American Finance Association, vol. 68(3), pages 1229-1265, June.
    30. Terrance Odean, 1999. "Do Investors Trade Too Much?," American Economic Review, American Economic Association, vol. 89(5), pages 1279-1298, December.
    31. Lee, Charles M. C. & Radhakrishna, Balkrishna, 2000. "Inferring investor behavior: Evidence from TORQ data," Journal of Financial Markets, Elsevier, vol. 3(2), pages 83-111, May.
    32. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    33. Brad M. Barber & Yi-Tsung Lee & Yu-Jane Liu & Terrance Odean, 2009. "Just How Much Do Individual Investors Lose by Trading?," The Review of Financial Studies, Society for Financial Studies, vol. 22(2), pages 609-632, February.
    34. Albert S. Kyle & Wei Xiong, 2001. "Contagion as a Wealth Effect," Journal of Finance, American Finance Association, vol. 56(4), pages 1401-1440, August.
    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. Lu, Jing & Qiu, Yuhang, 2024. "Does minority shareholder activism reduce stock idiosyncratic risk?," Research in International Business and Finance, Elsevier, vol. 67(PA).

    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. Peress, Joel & Schmidt, Daniel, 2021. "Noise traders incarnate: Describing a realistic noise trading process," Journal of Financial Markets, Elsevier, vol. 54(C).
    2. Alderighi, Stefano, 2018. "The determinants of retail trading activity in emerging markets: A cross-market analysis," Global Finance Journal, Elsevier, vol. 37(C), pages 152-167.
    3. Haghighi, Afshin & Faff, Robert & Oliver, Barry, 2024. "Retail traders and co-movement: Evidence from Robinhood trading activity," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    4. John Y. Campbell & Tarun Ramadorai & Benjamin Ranish, 2014. "Getting Better or Feeling Better? How Equity Investors Respond to Investment Experience," NBER Working Papers 20000, National Bureau of Economic Research, Inc.
    5. Reza Bradrania & Andrew Grant & Peter Joakim Westerholm & Wei Wu, 2017. "Fool's mate: What does CHESS tell us about individual investor trading performance?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(4), pages 981-1017, December.
    6. Chen, Zhijuan & Lin, William T. & Ma, Changfeng & Tsai, Shih-Chuan, 2014. "Liquidity provisions by individual investor trading prior to dividend announcements: Evidence from Taiwan," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 358-374.
    7. Manuel Ammann & Nic Schaub, 2021. "Do Individual Investors Trade on Investment-Related Internet Postings?," Management Science, INFORMS, vol. 67(9), pages 5679-5702, September.
    8. Lin, Mei-Chen, 2023. "Time-varying MAX preference: Evidence from revenue announcements," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    9. Wang, Albert Y. & Young, Michael, 2023. "Mood, attention, and household trading: Evidence from terrorist attacks," Journal of Financial Markets, Elsevier, vol. 66(C).
    10. Avanidhar Subrahmanyam & Ke Tang & Jingyuan Wang & Xuewei Yang, 2024. "Leverage Is a Double‐Edged Sword," Journal of Finance, American Finance Association, vol. 79(2), pages 1579-1634, April.
    11. Zhijuan Chen & William T. Lin & Changfeng Ma & Kent Wang, 2020. "Are individual investors liquidity providers around earnings announcements? Evidence from an emerging market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(4), pages 3447-3475, December.
    12. Tao Chen, 2022. "Are individuals informed in global markets?," Empirical Economics, Springer, vol. 63(1), pages 243-263, July.
    13. Brad M. Barber & Xing Huang & Terrance Odean & Christopher Schwarz, 2022. "Attention‐Induced Trading and Returns: Evidence from Robinhood Users," Journal of Finance, American Finance Association, vol. 77(6), pages 3141-3190, December.
    14. Wang, Qin & Zhang, Jun, 2015. "Does individual investor trading impact firm valuation?," Journal of Corporate Finance, Elsevier, vol. 35(C), pages 120-135.
    15. 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.
    16. Carlo Da Dalt & David Feldman & Gerald Garvey & Peter Joakim Westerholm, 2019. "Contrarians or momentum chasers? Individual investors’ behavior when trading exchange‐traded funds," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(5), pages 553-578, May.
    17. David Ardia & Cl'ement Aymard & Tolga Cenesizoglu, 2024. "Revisiting Boehmer et al. (2021): Recent Period, Alternative Method, Different Conclusions," Papers 2403.17095, arXiv.org.
    18. Tian, Xiao & Do, Binh & Duong, Huu Nhan & Kalev, Petko S., 2015. "Liquidity provision and informed trading by individual investors," Pacific-Basin Finance Journal, Elsevier, vol. 35(PA), pages 143-162.
    19. Rawley Z. Heimer & Alp Simsek, 2017. "Should Retail Investors' Leverage Be Limited?," NBER Working Papers 24176, National Bureau of Economic Research, Inc.
    20. Neupane, Suman & Fan, Zhebin & Yanes Sanchez, Daniel & Neupane, Biwesh, 2024. "Diverse investor reactions to the COVID-19 Pandemic: Insights from an emerging market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 93(C).

    More about this item

    Keywords

    Liquidity provision; Individual investors; Market efficiency; De facto market makers;
    All these keywords.

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • 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
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

    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:finlet:v:50:y:2022:i:c:s1544612322004445. 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/frl .

    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.