IDEAS home Printed from https://ideas.repec.org/a/jfr/afr111/v6y2017i1p9.html
   My bibliography  Save this article

The Effectiveness of Trade for Trade Segment as a Surveillance Effort to Prevent Price Manipulation: Evidence from India

Author

Listed:
  • Kanaiyalal Shantilal Parmar
  • Chakrapani Chaturvedula

Abstract

Indian Stock Exchanges use trade for trade segment as part of surveillance activity to restrict the unwanted growth in prices to safeguard the interest of the investors. This paper studies the impact of the announcement to shift securities to trade for trade segment on stock returns and volatility of the stock returns using event study methodology. It was found that the securities have generated exorbitant positive average abnormal returns during 30 days in the pre event period, which led the exchanges to shift these stocks to trade for trade segment. The event is found to be significantly impacting average abnormal returns during 30 days in the post event period showing the negative price reaction. Also volatility of the stocks returns is found to be increasing post the announcement.

Suggested Citation

  • Kanaiyalal Shantilal Parmar & Chakrapani Chaturvedula, 2017. "The Effectiveness of Trade for Trade Segment as a Surveillance Effort to Prevent Price Manipulation: Evidence from India," Accounting and Finance Research, Sciedu Press, vol. 6(1), pages 1-9, February.
  • Handle: RePEc:jfr:afr111:v:6:y:2017:i:1:p:9
    as

    Download full text from publisher

    File URL: https://www.sciedupress.com/journal/index.php/afr/article/download/10694/6508
    Download Restriction: no

    File URL: https://www.sciedupress.com/journal/index.php/afr/article/view/10694
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Allen, Franklin & Gale, Douglas, 1992. "Stock-Price Manipulation," The Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 503-529.
    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. 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.
    2. Hammad Siddiqi, 2007. "Stock Price Manipulation : The Role of Intermediaries," Finance Working Papers 22280, East Asian Bureau of Economic Research.
    3. Chen-Chang Lo & Yaling Lin & Jiann-Lin Kuo & Yi Ting Wen, 2021. "The Relation Between Trading Volume Concentration and Stock Returns," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 7(3), pages 82-89, 09-2021.
    4. Cumming, Douglas & Dannhauser, Robert & Johan, Sofia, 2015. "Financial market misconduct and agency conflicts: A synthesis and future directions," Journal of Corporate Finance, Elsevier, vol. 34(C), pages 150-168.
    5. Cai, Bill M. & Cai, Charlie X. & Keasey, Kevin, 2006. "Which trades move prices in emerging markets?: Evidence from China's stock market," Pacific-Basin Finance Journal, Elsevier, vol. 14(5), pages 453-466, November.
    6. Allen, Franklin & Gorton, Gary, 1992. "Stock price manipulation, market microstructure and asymmetric information," European Economic Review, Elsevier, vol. 36(2-3), pages 624-630, April.
    7. Xihan Xiong & Zhipeng Wang & Tianxiang Cui & William Knottenbelt & Michael Huth, 2023. "Market Misconduct in Decentralized Finance (DeFi): Analysis, Regulatory Challenges and Policy Implications," Papers 2311.17715, arXiv.org, revised Mar 2024.
    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. Kenneth A. Kim & Jungsoo Park, 2010. "Why Do Price Limits Exist in Stock Markets? A Manipulation†Based Explanation," European Financial Management, European Financial Management Association, vol. 16(2), pages 296-318, March.
    10. Giancarlo Corsetti & Paolo Pesenti & Nouriel Roubini, 2002. "The Role of Large Players in Currency Crises," NBER Chapters, in: Preventing Currency Crises in Emerging Markets, pages 197-268, National Bureau of Economic Research, Inc.
    11. Peck, James, 2014. "A battle of informed traders and the market game foundations for rational expectations equilibrium," Games and Economic Behavior, Elsevier, vol. 88(C), pages 153-173.
    12. Hong, Ziyang & Liu, Qingfu & Tse, Yiuman & Wang, Zilu, 2023. "Black mouth, investor attention, and stock return," International Review of Financial Analysis, Elsevier, vol. 90(C).
    13. Matthew Pritsker, 2005. "Large investors: implications for equilibrium asset, returns, shock absorption, and liquidity," Finance and Economics Discussion Series 2005-36, Board of Governors of the Federal Reserve System (U.S.).
    14. Markus K. Brunnermeier & Martin Oehmke, 2014. "Predatory Short Selling," Review of Finance, European Finance Association, vol. 18(6), pages 2153-2195.
    15. Stenfors, Alexis & Susai, Masayuki, 2021. "Spoofing and pinging in foreign exchange markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 70(C).
    16. 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.
    17. Chakraborty, Archishman & Yilmaz, Bilge, 2004. "Manipulation in market order models," Journal of Financial Markets, Elsevier, vol. 7(2), pages 187-206, February.
    18. Bungo Miyazaki & Kiyoshi Izumi & Fujio Toriumi & Ryo Takahashi, 2014. "Change Detection Of Orders In Stock Markets Using A Gaussian Mixture Model," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 21(3), pages 169-191, July.
    19. Maxim, Maruf Rahman & Ashif, Abu Sadat Muhammad, 2017. "A new method of measuring stock market manipulation through structural equation modeling (SEM)," MPRA Paper 82891, University Library of Munich, Germany.
    20. Hsu, Chih-Hsiang, 2016. "Strategic noise trading of later-informed traders in a multi-market framework," Economic Modelling, Elsevier, vol. 54(C), pages 235-243.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - 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:jfr:afr111:v:6:y:2017:i:1:p:9. 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: Sciedu Press (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.