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An analysis of intraday market behaviour before takeover announcements

  • Rodrigues, Bruno Dore
  • Souza, Reinaldo Castro
  • Stevenson, Maxwell J.
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    The objective of this study was to analyse the changes in the intraday market microstructure behaviour before a takeover announcement for a sample of target, bidder and control (non-target) companies. Under the hypothesis that agents with asymmetric information were operating in the market, the Autoregressive Conditional Duration (ACD) model was used to estimate the joint impact of duration and microstructure variables on the returns volatility in the months before the event. The analysis was conducted on tick-by-tick data over a period of six to four months, and then three months before an announcement date. Our results suggested that the effect of information on the returns volatility, as measured by several economic and intraday microstructure observable variables, was different between target, bidder and non-target companies leading up to the takeover announcement. These variables were durations between trades, the surprise in durations, spreads and trading volumes. It was concluded that the intraday trading behaviour for takeover targets was affected by traders who held private information (especially the bidders) at least three months before the official announcement of the offer. The selected stocks were traded on the Australian Stock Exchange (ASX) and were sourced between 2004 and 2008 from a wide range of industries and with different levels of liquidity.

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    File URL: http://www.sciencedirect.com/science/article/pii/S1057521911000524
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    Article provided by Elsevier in its journal International Review of Financial Analysis.

    Volume (Year): 21 (2012)
    Issue (Month): C ()
    Pages: 23-32

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    Handle: RePEc:eee:finana:v:21:y:2012:i:c:p:23-32
    Contact details of provider: Web page: http://www.elsevier.com/locate/inca/620166

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    1. Drost, F.C. & Werker, B.J.M., 2004. "Semiparametric duration models," Other publications TiSEM a1895e3e-f720-454b-9613-f, Tilburg University, School of Economics and Management.
    2. Joachim Grammig & Kai-Oliver Maurer, 2000. "Non-monotonic hazard functions and the autoregressive conditional duration model," Econometrics Journal, Royal Economic Society, vol. 3(1), pages 16-38.
    3. Meitz, Mika & Teräsvirta, Timo, 2004. "Evaluating models of autoregressive conditional duration," SSE/EFI Working Paper Series in Economics and Finance 557, Stockholm School of Economics, revised 13 Dec 2004.
    4. Robert N. McCauley & William R. White, 1997. "The Euro and European financial markets," BIS Working Papers 41, Bank for International Settlements.
    5. Alfonso Dufour & Robert F. Engle, 2000. "Time and the Price Impact of a Trade," Journal of Finance, American Finance Association, vol. 55(6), pages 2467-2498, December.
    6. Easley, David & O'Hara, Maureen, 1987. "Price, trade size, and information in securities markets," Journal of Financial Economics, Elsevier, vol. 19(1), pages 69-90, September.
    7. Drost, Feike C & Werker, Bas J M, 2004. "Semiparametric Duration Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 22(1), pages 40-50, January.
    8. Robert F. Engle, 2000. "The Econometrics of Ultra-High Frequency Data," Econometrica, Econometric Society, vol. 68(1), pages 1-22, January.
    9. Foster, F Douglas & Viswanathan, S, 1995. "Can Speculative Trading Explain the Volume-Volatility Relation?," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(4), pages 379-96, October.
    10. John H. Boyd & Ross Levine & Bruce D. Smith, 1996. "Inflation and financial market performance," Working Paper 9617, Federal Reserve Bank of Cleveland.
    11. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    12. BAUWENS, Luc & VEREDAS, David, 1999. "The stochastic conditional duration model: a latent factor model for the analysis of financial durations," CORE Discussion Papers 1999058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    13. Wong, Woon K. & Tan, Dijun & Tian, Yixiang, 2009. "Informed trading and liquidity in the Shanghai Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 66-73, March.
    14. Foster, F Douglas & Viswanathan, S, 1990. "A Theory of the Interday Variations in Volume, Variance, and Trading Costs in Securities Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 593-624.
    15. Easley, David & O'Hara, Maureen, 1992. " Time and the Process of Security Price Adjustment," Journal of Finance, American Finance Association, vol. 47(2), pages 576-605, June.
    16. Robert F. Engle & Jeffrey R. Russell, 1998. "Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data," Econometrica, Econometric Society, vol. 66(5), pages 1127-1162, September.
    17. Diamond, Douglas W. & Verrecchia, Robert E., 1987. "Constraints on short-selling and asset price adjustment to private information," Journal of Financial Economics, Elsevier, vol. 18(2), pages 277-311, June.
    18. repec:adr:anecst:y:2000:i:60:p:05 is not listed on IDEAS
    19. Marcus Noland & Sherman Robinson & Zhi Wang, 1997. "The Continuing Asian Financial Crisis," Japanese Economy, M.E. Sharpe, Inc., vol. 25(5), pages 70-95, September.
    20. Jabbour, Alain R. & Jalilvand, Abolhassan & Switzer, Jeannette A., 2000. "Pre-bid price run-ups and insider trading activity: Evidence from Canadian acquisitions," International Review of Financial Analysis, Elsevier, vol. 9(1), pages 21-43, February.
    21. Jennings, Robert, 1994. "Intraday Changes in Target Firms' Share Price and Bid-Ask Quotes around Takeover Announcements," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 17(2), pages 255-70, Summer.
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