IDEAS home Printed from https://ideas.repec.org/r/eee/jbfina/v20y1996i10p1715-1729.html
   My bibliography  Save this item

The accuracy of the tick test: Evidence from the Australian stock exchange

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Frino, Alex & Jarnecic, Elvis & Johnstone, David & Lepone, Andrew, 2005. "Bid-ask bounce and the measurement of price behavior around block trades on the Australian Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 13(3), pages 247-262, June.
  2. Brown, Philip & Thomson, Nathanial & Walsh, David, 1999. "Characteristics of the order flow through an electronic open limit order book," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(4), pages 335-357, November.
  3. Paul Asquith & Rebecca Oman & Christopher Safaya, 2008. "Short Sales and Trade Classification Algorithms," NBER Working Papers 14158, National Bureau of Economic Research, Inc.
  4. Frömmel, Michael & D'Hoore, Dick & Lampaert, Kevin, 2021. "The Accuracy of Trade Classification Systems on the Foreign Exchange Market: Evidence from the RUB/USD Market," Finance Research Letters, Elsevier, vol. 42(C).
  5. Kaveh Moradi Dezfouli & Lawrence Kryzanowski, 2016. "Derivatives, Short Selling and US Equity and Bond Mutual Funds," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 1-44, March.
  6. Christiane Goodfellow & Martin T. Bohl, 2011. "Forestalling Floor Closure: Evidence from a Natural Experiment on the German Stock Market," Post-Print hal-00676103, HAL.
  7. Dar-Hsin Chen & Lloyd P. Blenman, 2003. "An Extended Model of Serial Covariance Bid-Ask Spreads," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 2(1), pages 75-83, April.
  8. Benveniste, Lawrence M. & M. Erdal, Sina & Wilhelm Jr., William J., 1998. "Who benefits from secondary market price stabilization of IOPs?," Journal of Banking & Finance, Elsevier, vol. 22(6-8), pages 741-767, August.
  9. Torben G. Andersen & Oleg Bondarenko, 2013. "Assessing Measures of Order Flow Toxicity via Perfect Trade Classification," CREATES Research Papers 2013-43, Department of Economics and Business Economics, Aarhus University.
  10. Zhou, Hao & Elliott, Robert J. & Kalev, Petko S., 2019. "Information or noise: What does algorithmic trading incorporate into the stock prices?," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 27-39.
  11. Boehmer, Ekkehart & Grammig, Joachim & Theissen, Erik, 2007. "Estimating the probability of informed trading--does trade misclassification matter?," Journal of Financial Markets, Elsevier, vol. 10(1), pages 26-47, February.
  12. G. Geoffrey Booth & Juha-Pekka Kallunki & Teppo Martikainen, 1999. "Earnings news and the behaviour of large and small traders in the Finnish stock market," Applied Economics Letters, Taylor & Francis Journals, vol. 6(12), pages 771-774.
  13. Berkman, Henk & Koch, Paul D., 2008. "Noise trading and the price formation process," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 232-250, March.
  14. David Michayluk & Laurie Prather, 2008. "A Liquidity Motivated Algorithm for Discerning Trade Direction," Multinational Finance Journal, Multinational Finance Journal, vol. 12(1-2), pages 45-66, March-Jun.
  15. Yu‐Lun Chen & Yin‐Feng Gau, 2022. "The information effect of order flows in foreign currency futures and spot markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(8), pages 1549-1572, August.
  16. Dean Hanlon & Sean Pinder, 2013. "Capital gains tax, supply-driven trading and ownership structure: direct evidence of the lock-in effect," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 53(2), pages 419-439, June.
  17. Perlin, Marcelo & Brooks, Chris & Dufour, Alfonso, 2014. "On the performance of the tick test," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 42-50.
  18. Tanggaard, Carsten, 2003. "Errors in Trade Classification: Consequences and Remedies," Finance Working Papers 03-6, University of Aarhus, Aarhus School of Business, Department of Business Studies.
  19. Donglian Ma & Pengxiang Zhai, 2021. "The Accuracy of the Tick Rule in the Bitcoin Market," SAGE Open, , vol. 11(2), pages 21582440211, May.
  20. Zhou, Hao & Kalev, Petko S. & Frino, Alex, 2020. "Algorithmic trading in turbulent markets," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
  21. Murphy Jun Jie Lee, 2013. "The Microstructure of Trading Processes on the Singapore Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4, July-Dece.
  22. Glenn Kit Foong Ho & Sirimon Treepongkaruna & Marvin Wee & Chaiyuth Padungsaksawasdi, 2022. "The effect of short selling on volatility and jumps," Australian Journal of Management, Australian School of Business, vol. 47(1), pages 34-52, February.
  23. Frino, Alex & Lecce, Steven & Segara, Reuben, 2011. "The impact of trading halts on liquidity and price volatility: Evidence from the Australian Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 19(3), pages 298-307, June.
  24. Torben G. Andersen & Oleg Bondarenko, 2015. "Assessing Measures of Order Flow Toxicity and Early Warning Signals for Market Turbulence," Review of Finance, European Finance Association, vol. 19(1), pages 1-54.
  25. Timotheos Angelidis & Alexandros Benos, 2009. "The Components of the Bid‐Ask Spread: the Case of the Athens Stock Exchange," European Financial Management, European Financial Management Association, vol. 15(1), pages 112-144, January.
  26. Hwang, Lee-Seok & Lee, Woo-Jong & Lim, Seung-Yeon & Park, Kyung-Ho, 2013. "Does information risk affect the implied cost of equity capital? An analysis of PIN and adjusted PIN," Journal of Accounting and Economics, Elsevier, vol. 55(2), pages 148-167.
  27. Adam Blazejewski & Richard Coggins, 2004. "A local non-parametric model for trade sign inference," Finance 0408009, University Library of Munich, Germany.
  28. Fukker, Gábor & Kaijser, Michiel & Mingarelli, Luca & Sydow, Matthias, 2022. "Contagion from market price impact: a price-at-risk perspective," Working Paper Series 2692, European Central Bank.
  29. Adam Blazejewski & Richard Coggins, 2004. "A piecewise linear model for trade sign inference," Finance 0412012, University Library of Munich, Germany.
  30. Nikhil Rastogi & V.N. Reddy & Kiran Kumar Kotha, 2013. "Order imbalance and returns: evidence from India," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 9(2), pages 92-109, March.
  31. Asquith, Paul & Oman, Rebecca & Safaya, Christopher, 2010. "Short sales and trade classification algorithms," Journal of Financial Markets, Elsevier, vol. 13(1), pages 157-173, February.
  32. Theissen, Erik, 2001. "A test of the accuracy of the Lee/Ready trade classification algorithm," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 11(2), pages 147-165, June.
  33. Ben Omrane, Walid & Welch, Robert, 2016. "Tick test accuracy in foreign exchange ECN markets," Research in International Business and Finance, Elsevier, vol. 37(C), pages 135-152.
  34. Ibikunle, Gbenga, 2015. "Opening and closing price efficiency: Do financial markets need the call auction?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 208-227.
  35. Hans R. Stoll & Robert E. Whaley, 1997. "Expiration†Day Effects of the All Ordinaries Share Price Index Futures: Empirical Evidence and Alternative Settlement Procedures," Australian Journal of Management, Australian School of Business, vol. 22(2), pages 139-174, December.
  36. Murphy Jun Jie Lee, 2013. "The Microstructure of Trading Processes on the Singapore Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2013.
  37. Aktas, Osman Ulas & Kryzanowski, Lawrence, 2014. "Trade classification accuracy for the BIST," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 259-282.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.