IDEAS home Printed from https://ideas.repec.org/a/gam/jijfss/v5y2017i4p24-d116367.html
   My bibliography  Save this article

Stock Price Manipulation: The Role of Intermediaries

Author

Listed:
  • Hammad Siddiqi

    (Faculty of Business, Economics, and Law, The University of Queensland, Brisbane 4072, Australia)

Abstract

We model a scenario in which there are three types of investors: fundamentalists, speculators, and trend-followers and an intermediary who cares about his reputation. Fundamentalists are rational investors with long horizons who are interested in the dividend stream. Speculators are rational investors who have short horizons and are interested in profiting from short-term price movements or capital gains. Trend-followers are behavioral investors who extrapolate price trends, and, consequently, are late entrants in the market. We show that an informed intermediary (broker) can manipulate demand (consequently stock price) without losing his reputation when there is information asymmetry. We also show that there is a trade-off between broker level competition for reputation and market liquidity. Broker level competition checks manipulation, but it adversely affects market liquidity.

Suggested Citation

  • Hammad Siddiqi, 2017. "Stock Price Manipulation: The Role of Intermediaries," IJFS, MDPI, vol. 5(4), pages 1-12, October.
    • Handle: RePEc:gam:jijfss:v:5:y:2017:i:4:p:24-:d:116367
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7072/5/4/24/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7072/5/4/24/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert A. Jarrow, 2008. "Market Manipulation, Bubbles, Corners, and Short Squeezes," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 6, pages 105-130, World Scientific Publishing Co. Pte. Ltd..
    2. Khwaja, Asim Ijaz & Mian, Atif, 2005. "Unchecked intermediaries: Price manipulation in an emerging stock market," Journal of Financial Economics, Elsevier, vol. 78(1), pages 203-241, October.
    3. Taylor, Mark P. & Allen, Helen, 1992. "The use of technical analysis in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 11(3), pages 304-314, June.
    4. Oliver D. Hart, 1977. "On The Profitability of Speculation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 91(4), pages 579-597.
    Full references (including those not matched with items on IDEAS)

    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. Ke Liu & Kin Lai & Jerome Yen & Qing Zhu, 2015. "A Model of Stock Manipulation Ramping Tricks," Computational Economics, Springer;Society for Computational Economics, vol. 45(1), pages 135-150, January.
    2. Tālis J. Putniņš, 2012. "Market Manipulation: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 26(5), pages 952-967, December.
    3. Andreas Röthig, 2009. "Microeconomic Risk Management and Macroeconomic Stability," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-642-01565-6, July.
    4. Guo, Ming & Li, Zhan & Tu, Zhiyong, 2012. "A unique “T+1 trading rule” in China: Theory and evidence," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 575-583.
    5. Medrano, Luis Angel & Vives, Xavier, 2001. "Strategic Behavior and Price Discovery," RAND Journal of Economics, The RAND Corporation, vol. 32(2), pages 221-248, Summer.
    6. Sheridan Titman & Chishen Wei. Wei & Bin Zhao, 2021. "Corporate Actions and the Manipulation of Retail Investors in China: An Analysis of Stock Splits," NBER Working Papers 29212, National Bureau of Economic Research, Inc.
    7. Hammad Siddiqi, 2007. "Stock Price Manipulation : The Role of Intermediaries," Finance Working Papers 22280, East Asian Bureau of Economic Research.
    8. Giambona, Erasmo & Golec, Joseph, 2010. "Strategic trading in the wrong direction by a large institutional insider," Journal of Empirical Finance, Elsevier, vol. 17(1), pages 1-22, January.
    9. Dongyu Chen & Xiaolin Li & Fujun Lai, 2023. "Shill bidding in lenders’ eyes? A cross-country study on the influence of large bids in online P2P lending," Electronic Commerce Research, Springer, vol. 23(2), pages 1089-1114, June.
    10. Enrique Mart'inez-Miranda & Peter McBurney & Matthew J. Howard, 2015. "Learning Unfair Trading: a Market Manipulation Analysis From the Reinforcement Learning Perspective," Papers 1511.00740, arXiv.org.
    11. Robert Jarrow & Scott Fung & Shih-Chuan Tsai, 2018. "An empirical investigation of large trader market manipulation in derivatives markets," Review of Derivatives Research, Springer, vol. 21(3), pages 331-374, October.
    12. Titman, Sheridan & Wei, Chishen & Zhao, Bin, 2022. "Corporate actions and the manipulation of retail investors in China: An analysis of stock splits," Journal of Financial Economics, Elsevier, vol. 145(3), pages 762-787.
    13. Yu Huang & Yao Cheng, 2015. "Stock manipulation and its effects: pump and dump versus stabilization," Review of Quantitative Finance and Accounting, Springer, vol. 44(4), pages 791-815, May.
    14. Christos Alexakis & Vasileios Pappas & Emmanouil Skarmeas, 2021. "Market abuse under different close price determination mechanisms: A European case," Post-Print hal-03182927, HAL.
    15. Shobe, William & Holt, Charles & Huetteman, Thaddeus, 2014. "Elements of emission market design: An experimental analysis of California's market for greenhouse gas allowances," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 402-420.
    16. Neupane, Suman & Rhee, S. Ghon & Vithanage, Kulunu & Veeraraghavan, Madhu, 2017. "Trade-based manipulation: Beyond the prosecuted cases," Journal of Corporate Finance, Elsevier, vol. 42(C), pages 115-130.
    17. Yang, Jinyu & Dong, Dayong & Cao, Jiawei, 2024. "Seemingly manipulated anomaly: Evidence from corporate site visits," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).
    18. Allen, Franklin & Haas, Marlene D. & Nowak, Eric & Tengulov, Angel, 2021. "Market efficiency and limits to arbitrage: Evidence from the Volkswagen short squeeze," Journal of Financial Economics, Elsevier, vol. 142(1), pages 166-194.
    19. Syed Qasim Shah & Izlin Ismail & Aidial Rizal bin Shahrin, 2020. "Heterogeneous investors and deterioration of market integrity: an analysis of market manipulation cases," Journal of Financial Crime, Emerald Group Publishing Limited, vol. 30(2), pages 389-403, May.
    20. Eray GEMICI & Mehmet CIHANGIR & Emre YAKUT, 2017. "Islem Bazli Manipulasyon: Turkiye Ornegi," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 17(3), pages 369-380.

    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:gam:jijfss:v:5:y:2017:i:4:p:24-:d:116367. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.