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Does stealth trading coexist with high levels of insider trading? Evidence from Kuwait

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  • Alhashel, Bader

Abstract

Stealth trading has been found to exist in the US, where informed investors submit medium-sized trades to reduce price impacts and camouflage their information. This paper reexamines this finding by placing the analysis in a different setting in which insider trading and private information sharing is very common during two different time periods — bull and bear markets. Using data on 34 stocks listed on the Kuwait Stock Exchange, I find that stealth trading exists in these two time periods. However, during bullish periods, stealth trading occurs through small-sized trades, while in bear markets, it occurs through medium-sized trades.

Suggested Citation

  • Alhashel, Bader, 2015. "Does stealth trading coexist with high levels of insider trading? Evidence from Kuwait," Global Finance Journal, Elsevier, vol. 27(C), pages 112-118.
    • Handle: RePEc:eee:glofin:v:27:y:2015:i:c:p:112-118
    DOI: 10.1016/j.gfj.2015.04.007
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    References listed on IDEAS

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    1. Hasbrouck, Joel, 1995. "One Security, Many Markets: Determining the Contributions to Price Discovery," Journal of Finance, American Finance Association, vol. 50(4), pages 1175-1199, September.
    2. Chakravarty, Sugato, 2001. "Stealth-trading: Which traders' trades move stock prices?," Journal of Financial Economics, Elsevier, vol. 61(2), pages 289-307, August.
    3. Barclay, Michael J. & Warner, Jerold B., 1993. "Stealth trading and volatility : Which trades move prices?," Journal of Financial Economics, Elsevier, vol. 34(3), pages 281-305, December.
    4. Lo, Andrew W & MacKinlay, A Craig, 1990. "When Are Contrarian Profits Due to Stock Market Overreaction?," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 175-205.
    5. Bhattacharya, Utpal & Daouk, Hazem & Jorgenson, Brian & Kehr, Carl-Heinrich, 2000. "When an event is not an event: the curious case of an emerging market," Journal of Financial Economics, Elsevier, vol. 55(1), pages 69-101, January.
    6. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    7. International Monetary Fund, 2004. "Philippines: Financial Sector Assessment Program-IOSCO Objectives and Principles of Securities Regulation Assessment," IMF Staff Country Reports 2004/062, International Monetary Fund.
    8. Zhou, Rhea Tingyu & Lai, Rose Neng, 2009. "Herding and information based trading," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 388-393, June.
    9. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
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    Cited by:

    1. Natashekara, Karthik & Sampath, Aravind, 2024. "Informed trading and cryptocurrencies. New evidence using tick-by-tick data," Finance Research Letters, Elsevier, vol. 61(C).

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    More about this item

    Keywords

    Stealth trading; Microstructure; Insider trading; Emerging market;
    All these keywords.

    JEL classification:

    • 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
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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