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Which firms are more prone to stock market manipulation?

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  • Imisiker, Serkan
  • Tas, Bedri Kamil Onur

Abstract

This study empirically investigates which firms are more susceptible to successful manipulation. For this purpose, a unique data set consisting of manipulation cases from 1998 to 2006 from the Istanbul Stock Exchange (ISE) was collected and firm-specific variables are used to explain these manipulations. Probit regression results show that small firms, firms with less free float rate and a higher leverage ratio are more prone to stock price manipulation. Dynamic probit analysis concludes that the probability of manipulation of a stock is significantly higher for stocks that have been previously manipulated.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ememar:v:16:y:2013:i:c:p:119-130
    DOI: 10.1016/j.ememar.2013.04.003
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Chau, Ching & Aspris, Angelo & Foley, Sean & Malloch, Hamish, 2021. "Quote-Based manipulation of illiquid securities," Finance Research Letters, Elsevier, vol. 39(C).
    2. Ouyang, Liangyi & Cao, Bolong, 2020. "Selective pump-and-dump: The manipulation of their top holdings by Chinese mutual funds around quarter-ends," Emerging Markets Review, Elsevier, vol. 44(C).
    3. Chaturvedula, Chakrapani & Bang, Nupur Pavan & Rastogi, Nikhil & Kumar, Satish, 2015. "Price manipulation, front running and bulk trades: Evidence from India," Emerging Markets Review, Elsevier, vol. 23(C), pages 26-45.
    4. 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.
    5. Akter, Maimuna & Cumming, Douglas & Ji, Shan, 2023. "Natural disasters and market manipulation," Journal of Banking & Finance, Elsevier, vol. 153(C).
    6. 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).
    7. 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.
    8. 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.
    9. 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.

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    More about this item

    Keywords

    Manipulation; Firm characteristics; Dynamic probit regression;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General

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