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2014 | 14 | nr 1 | 5--19
Tytuł artykułu

Intraday stealth trading : Evidence from the Warsaw Stock Exchange

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The intraday volatility and volume U-shaped pattern is well documented in literature. It describes the common pattern of investor's behaviour on the stock markets: investors trade in the beginning and the end of the day more intensively than at the lunch time. However that pattern does not differentiate between the trades' size and investor characteristics. The stealth trading hypothesis states that informed traders tend to hide their information. There is a need for such behaviour at the time of low volatility and they may achieve this by breaking up their trades into smaller parts. At a time of high volatility informed traders are willing to place large orders because high volatility provides a sufficient camouflage of their information. We examine volatility patterns for small, medium and large trades and consider how the duration between trades and spreads differs between trade-size categories. Our sample consists of data from the Warsaw Stock Exchange, which is organized as an order-driven market. We show that medium-size trades are associated with relatively large cumulative stock price changes, however these results are not robust when liquidity measures and the duration between the consecutive trades are taken into account. (original abstract)
Rocznik
Tom
14
Numer
Strony
5--19
Opis fizyczny
Twórcy
  • Poznań University of Economics, Poland
Bibliografia
  • Abad, D., Pascual, R., 2011, Revisiting the Stealth Trading Hypothesis, http://www. efmaefm.org/0EFMAMEETINGS/EFMA%20ANNUAL%20MEETINGS/2011Braga/papers/0219.pdf [access: 22.04.2013].
  • Admati, A., Pfleiderer, P, 1988, A Theory of Intra-day Patterns: Volume and Price Variability, Review of Financial Studies, 1, pp. 3-40.
  • Alexander, G.J., Peterson, M.J., 2007, An Analysis of Trade-size Clustering and Its Relation to Stealth Trading, Journal of Financial Economics, 84, pp. 435-71.
  • Andersen, T.G., Bollerslev, T, Cai J., 2000, Intraday and Interday Volatility in the Japanese Stock Market, Journal of International Financial Markets, 10, pp. 107-130.
  • Ascioglu, A., Comerton-Forde, C., Mclnish T.H., 2011, Stealth Trading: The Case of the Tokyo Stock Exchange, Pacific Basin Finance Journal, 19, pp. 194-207.
  • Barclay, M.J., Litzenberger, R.H., Warner, J.B., 1990, Private Information, Trading Volume and the Use of Intraday Price Data, Journal of Financial Economics, 21, pp. 71-100.
  • Barclay, M., Warner, J.B., 1993, Stealth Trading and Volatility: Which Trades Move Prices, Journal of Financial Economics, 34, pp. 281-305.
  • Bçdowska-Sôjka, B., 2010, Intraday CAC40, DAX and WIG20 Returns When the American Macro News is Announced, Bank i Kredyt, 41,2, pp. 7-20.
  • Blau, B.M., Van Ness, B.F., Van Ness, R.A., 2009, Intraday Stealth Trading: Which Trades Move Prices During Period of High Volume, Journal of Financial Research, 32, l,pp. 1-21.
  • Chakravarty, S., 2001, Stealth Trading: Which Traders Trade Move Prices?, Journal of Financial Economics, 61, pp. 289-307.
  • Comerton-Forde, G, Rydge, J., 2006, The Current State of Asia-Pacific Stock Exchanges: A Critical Review of Market Design, Pacific Basin Finance Journal, 14, pp. 1-32.
  • Engle, R., 2000, The Econometrics of Ultra-high Frequency Data, Econometrica, 68, 1, pp. 1-22.
  • Harju, K., Hussain, S., 2006, Intraday Seasonalities and Macroeconomic News Announcements, HANKEN-Swedish School of Economics and Business Administration, Working Papers, p. 512.
  • Hasbrouck, J., 2007, Empirical Market Microstructure, Oxford University Press.
  • Hautsch, N., 2004, Modelling Irregularly Spaced Financial Data - Theory and Practice of Dynamic Duration Models, Lecture Notes in Economics and Mathematical Systems, vol. 539, Springer, Berlin.
  • Karpoff, J., 1987, The Relation between Price Changes and Trading Volume: A Survey, Journal of Financial and Quantitative Analysis, 22, pp. 515-528.
  • Kyle, A., 1985, Continuous Auctions and Insider Trading, Econometrica, 53, pp. 1315-1335.
  • Lu, Y.-Ch., Wei, Y.-Ch., Chang, Ch.-W., 2009, Stealth Trading Aggressiveness of Trades and Investor Types: Evidence from the Emerging Taiwan Equity Market, http://www. apjfs.org/2009/cafm2009/09_01_Stealth%20Trading.pdf [access: 22.04.2013].
  • Mclnish, T.H., Wood, R.A., 1990, An Analysis of Transaction Data for the Toronto Stock Exchange Patterns and the End-of-day Effect, Journal of Banking and Finance, 14, l,pp. 441-458.
  • Verousis, X, ap Gwilym, O., 2013, Trade Size Clustering and the Cost of Trading at the London Stock Exchange, International Review of Financial Analysis, 27, pp. 91-102.
  • Wang, F.A., 1998, Strategic Trading Asymmetric Information and Heterogeneous Prior Beliefs, Journal of Financial Markets, 1, pp. 321-352.
  • Wood, R., Mclnish, X, Ord, J.K., 1985, An Investigation of Transactions Data for NYSE Stocks, Journal of Finance, 40, 3, pp. 723-739.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171269577

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