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Stealth trading: The case of the Tokyo Stock Exchange

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  • Ascioglu, Asli
  • Comerton-Forde, Carole
  • McInish, Thomas H.

Abstract

The stealth trading hypothesis asserts that informed traders trade strategically by breaking up their orders so as to more easily hide among the liquidity traders. Using data for the Tokyo Stock Exchange (TSE), a pure order-driven market, we find evidence that price changes are driven by small- and medium-size trades, with small trades making the greatest contribution to price change relative to their contribution to trading volume. We also find that large trades explain a greater portion of the cumulative price change on high volatility days. Hence, our results support the stealth trading hypothesis for the TSE.

Suggested Citation

  • Ascioglu, Asli & Comerton-Forde, Carole & McInish, Thomas H., 2011. "Stealth trading: The case of the Tokyo Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 19(2), pages 194-207, April.
    • Handle: RePEc:eee:pacfin:v:19:y:2011:i:2:p:194-207
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    References listed on IDEAS

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    1. Chakravarty, Sugato, 2001. "Stealth-trading: Which traders' trades move stock prices?," Journal of Financial Economics, Elsevier, vol. 61(2), pages 289-307, August.
    2. Wood, Robert A & McInish, Thomas H & Ord, J Keith, 1985. "An Investigation of Transactions Data for NYSE Stocks," Journal of Finance, American Finance Association, vol. 40(3), pages 723-739, July.
    3. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    4. Foster, F. Douglas & Viswanathan, S., 1994. "Strategic Trading with Asymmetrically Informed Traders and Long-Lived Information," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(4), pages 499-518, December.
    5. Benjamin M. Blau & Bonnie F. Van Ness & Robert A. Van Ness, 2009. "Intraday Stealth Trading: Which Trades Move Prices During Periods Of High Volume?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 32(1), pages 1-21, March.
    6. 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.
    7. Albert Wang, F., 1998. "Strategic trading, asymmetric information and heterogeneous prior beliefs," Journal of Financial Markets, Elsevier, vol. 1(3-4), pages 321-352, September.
    8. Seppi, Duane J, 1997. "Liquidity Provision with Limit Orders and a Strategic Specialist," The Review of Financial Studies, Society for Financial Studies, vol. 10(1), pages 103-150.
    9. John Y. Campbell & Tarun Ramadorai & Tuomo O. Vuolteenaho, 2004. "Caught on Tape: Predicting Institutional Ownership With Order Flow," Harvard Institute of Economic Research Working Papers 2046, Harvard - Institute of Economic Research.
    10. Comerton-Forde, Carole & Rydge, James, 2006. "The current state of Asia-Pacific stock exchanges: A critical review of market design," Pacific-Basin Finance Journal, Elsevier, vol. 14(1), pages 1-32, January.
    11. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    12. Anand, Amber & Chakravarty, Sugato, 2007. "Stealth Trading in Options Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 42(1), pages 167-187, March.
    13. Foster, F Douglas & Viswanathan, S, 1996. "Strategic Trading When Agents Forecast the Forecasts of Others," Journal of Finance, American Finance Association, vol. 51(4), pages 1437-1478, September.
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    Cited by:

    1. Dionne, Georges & Zhou, Xiaozhou, 2019. "Information Environments and High Price Impact Trades: Implication for Volatility and Price Efficiency," Working Papers 19-3, HEC Montreal, Canada Research Chair in Risk Management, revised 04 Nov 2019.
    2. Mishra, Ajay Kumar & Tripathy, Trilochan, 2018. "Price and trade size clustering: Evidence from the national stock exchange of India," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 63-72.
    3. Tsai, Shih-Chuan, 2013. "Investors' information advantage and order choices in an order-driven market," Pacific-Basin Finance Journal, Elsevier, vol. 21(1), pages 932-951.
    4. Abad, David & Pascual, Roberto, 2015. "The friction-free weighted price contribution," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 226-239.
    5. Lien, Donald & Hung, Pi-Hsia & Lin, Zong-Wei, 2020. "Whose trades move stock prices? Evidence from the Taiwan Stock Exchange," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 25-50.
    6. Będowska-Sójka, Barbara, 2020. "Do aggressive orders affect liquidity? An evidence from an emerging market," Research in International Business and Finance, Elsevier, vol. 54(C).
    7. Doojin Ryu, 2012. "The effectiveness of the order-splitting strategy: an analysis of unique data," Applied Economics Letters, Taylor & Francis Journals, vol. 19(6), pages 541-549, April.
    8. Doojin Ryu & Jinyoung Yu, 2021. "Informed options trading around holidays," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(5), pages 658-685, May.
    9. Cebiroglu, Gökhan & Hautsch, Nikolaus & Walsh, Christopher, 2019. "Revisiting the stealth trading hypothesis: Does time-varying liquidity explain the size-effect?," CFS Working Paper Series 625, Center for Financial Studies (CFS).
    10. Hyeyoen Kim & Doojin Ryu, 2012. "Which trader's order-splitting strategy is effective? The case of an index options market," Applied Economics Letters, Taylor & Francis Journals, vol. 19(17), pages 1683-1692.
    11. Natashekara, Karthik & Sampath, Aravind, 2024. "Informed trading and cryptocurrencies. New evidence using tick-by-tick data," Finance Research Letters, Elsevier, vol. 61(C).
    12. Linnenluecke, Martina K. & Chen, Xiaoyan & Ling, Xin & Smith, Tom & Zhu, Yushu, 2016. "Emerging trends in Asia-Pacific finance research: A review of recent influential publications and a research agenda," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 66-76.
    13. Hung, Pi-Hsia, 2016. "Investor sentiment, order submission, and investment performance on the Taiwan Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 124-140.

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