IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v28y2021i5p354-358.html
   My bibliography  Save this article

Stock market manipulation in an emerging market of Turkey: how do market participants select stocks for manipulation?

Author

Listed:
  • Hilal Ok Ergün
  • Abdullah Yalaman
  • Viktor Manahov
  • Hanxiong Zhang

Abstract

We obtained a unique dataset that covers all trade-based manipulation events identified by the Capital Market Board (CMB) for the period between 2005 and 2013 in order to investigate stock market manipulation and its implications on market quality. Moreover, we examine how manipulators decide which stocks to select for manipulation in an emerging market. We observe that the manipulators select illiquid, underperforming, and less volatile stocks to manipulate in an emerging market. We also demonstrate that stock liquidity, return, and volatility increase throughout the manipulation period and decrease in the post-manipulation period, leading to a deterioration of market quality.

Suggested Citation

  • Hilal Ok Ergün & Abdullah Yalaman & Viktor Manahov & Hanxiong Zhang, 2021. "Stock market manipulation in an emerging market of Turkey: how do market participants select stocks for manipulation?," Applied Economics Letters, Taylor & Francis Journals, vol. 28(5), pages 354-358, March.
    • Handle: RePEc:taf:apeclt:v:28:y:2021:i:5:p:354-358
    DOI: 10.1080/13504851.2020.1753874
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2020.1753874
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13504851.2020.1753874?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. Comerton-Forde, Carole & Jones, Charles M. & Putniņš, Tālis J., 2016. "Shorting at close range: A tale of two types," Journal of Financial Economics, Elsevier, vol. 121(3), pages 546-568.
    2. Amihud, Yakov & Mendelson, Haim & Lauterbach, Beni, 1997. "Market microstructure and securities values: Evidence from the Tel Aviv Stock Exchange," Journal of Financial Economics, Elsevier, vol. 45(3), pages 365-390, September.
    3. 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.
    4. Lee, Yi-Tsung & Lin, Ji-Chai & Liu, Yu-Jane, 1999. "Trading patterns of big versus small players in an emerging market: An empirical analysis," Journal of Banking & Finance, Elsevier, vol. 23(5), pages 701-725, May.
    5. Nattapong Laksomya & John G. Powell & Suparatana Tanthanongsakkun & Sirimon Treepongkaruna, 2018. "Are Internet message boards used to facilitate stock price manipulation? Evidence from an emerging market, Thailand," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 275-309, November.
    6. Imisiker, Serkan & Tas, Bedri Kamil Onur, 2013. "Which firms are more prone to stock market manipulation?," Emerging Markets Review, Elsevier, vol. 16(C), pages 119-130.
    7. Rajesh K. Aggarwal & Guojun Wu, 2006. "Stock Market Manipulations," The Journal of Business, University of Chicago Press, vol. 79(4), pages 1915-1954, July.
    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. Innocent Shau & William Gomera, 2022. "Effects of the information gap in the stock market: A case of Dar Es salaam Stock Exchange," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(9), pages 174-183, December.

    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. 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).
    2. 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.
    3. Liu, Qingbai & Wang, Chuanjie & Zhang, Ping & Zheng, Kaixin, 2021. "Detecting stock market manipulation via machine learning: Evidence from China Securities Regulatory Commission punishment cases," International Review of Financial Analysis, Elsevier, vol. 78(C).
    4. 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.
    5. Serkan İmişiker & Rasim Özcan & Bedri Kamil Onur Taş, 2015. "Price Manipulation by Intermediaries," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(4), pages 788-797, July.
    6. 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.
    7. Liu, Jie & Wu, Chonglin & Yuan, Lin & Liu, Jia, 2022. "Opening price manipulation and its value influences," International Review of Financial Analysis, Elsevier, vol. 83(C).
    8. Warren Bailey & Lin Zheng, 2013. "Banks, Bears, and the Financial Crisis," Journal of Financial Services Research, Springer;Western Finance Association, vol. 44(1), pages 1-51, August.
    9. Chau, Ching & Aspris, Angelo & Foley, Sean & Malloch, Hamish, 2021. "Quote-Based manipulation of illiquid securities," Finance Research Letters, Elsevier, vol. 39(C).
    10. Eun Jung Lee & Yu Kyung Lee & Ryumi Kim, 2024. "Profitability and herding of trade-based pump-and-dump manipulation," Applied Economics, Taylor & Francis Journals, vol. 56(20), pages 2375-2385, April.
    11. Shaen Corbet & Yang (Greg) Hou & Yang Hu & Les Oxley, 2022. "We Reddit in a Forum: The Influence of Message Boards on Firm Stability," Review of Corporate Finance, now publishers, vol. 2(1), pages 151-190, March.
    12. Tsung-Yu Hsieh, 2015. "Information disclosure and price manipulation during the pre-closing session: evidence from an order-driven market," Applied Economics, Taylor & Francis Journals, vol. 47(43), pages 4670-4684, September.
    13. Chang, Rosita P. & Rhee, S. Ghon & Stone, Gregory R. & Tang, Ning, 2008. "How does the call market method affect price efficiency? Evidence from the Singapore Stock Market," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2205-2219, October.
    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. Akter, Maimuna & Cumming, Douglas & Ji, Shan, 2023. "Natural disasters and market manipulation," Journal of Banking & Finance, Elsevier, vol. 153(C).
    16. Jia Zhai & Yi Cao & Xuemei Ding, 2018. "Data analytic approach for manipulation detection in stock market," Review of Quantitative Finance and Accounting, Springer, vol. 50(3), pages 897-932, April.
    17. 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.
    18. Alexakis, Christos & Pappas, Vasileios & Skarmeas, Emmanouil, 2021. "Market abuse under different close price determination mechanisms: A European case," International Review of Financial Analysis, Elsevier, vol. 74(C).
    19. Imisiker, Serkan & Tas, Bedri Kamil Onur, 2018. "Wash trades as a stock market manipulation tool," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 92-98.
    20. Choi, Gahyun & Park, Kwangyeol & Yi, Eojin & Ahn, Kwangwon, 2023. "Price fairness: Clean energy stocks and the overall market," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).

    More about this item

    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:taf:apeclt:v:28:y:2021:i:5:p:354-358. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.