A test of the accuracy of the Lee/Ready trade classification algorithm

Citations

Cited by:

1. Marcel Blais & Philip Protter, 2012. "Signing trades and an evaluation of the Lee–Ready algorithm," Annals of Finance, Springer, vol. 8(1), pages 1-13, February.
2. Ioane Muni Toke, 2016. "Reconstruction of Order Flows using Aggregated Data," Post-Print hal-01705074, HAL.
3. 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.
4. Ersan, Oguz & Alıcı, Aslı, 2016. "An unbiased computation methodology for estimating the probability of informed trading (PIN)," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 74-94.
5. Ioane Muni Toke, 2016. "Reconstruction of Order Flows using Aggregated Data," Papers 1604.02759, arXiv.org.
6. 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.
   • Grammig, Joachim G. & Theissen, Erik, 2002. "Estimating the Probability of Informed Trading: Does Trade Misclassification Matter?," Bonn Econ Discussion Papers 37/2002, University of Bonn, Bonn Graduate School of Economics (BGSE).
   • Joachim Grammig & Erik Theissen, 2003. "Estimating the Probability of Informed Trading - Does Trade Misclassification Matter?," University of St. Gallen Department of Economics working paper series 2003 2003-01, Department of Economics, University of St. Gallen.
7. Joanna Olbrys, 2019. "Intra-market commonality in liquidity: new evidence from the Polish stock exchange," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 14(2), pages 251-275, June.
8. Ivan Jericevich & Patrick Chang & Tim Gebbie, 2020. "Comparing the market microstructure between two South African exchanges," Papers 2011.04367, arXiv.org.
9. Erik Theissen, 2003. "Trader Anonymity, Price Formation and Liquidity," Review of Finance, European Finance Association, vol. 7(1), pages 1-26.
   • Theissen, Erik, 2002. "Trader Anonymity, Price Formation and Liquidity," Bonn Econ Discussion Papers 20/2002, University of Bonn, Bonn Graduate School of Economics (BGSE).
10. Paul Asquith & Rebecca Oman & Christopher Safaya, 2008. "Short Sales and Trade Classification Algorithms," NBER Working Papers 14158, National Bureau of Economic Research, Inc.
11. 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).
12. Peterson, Mark & Sirri, Erik, 2003. "Evaluation of the biases in execution cost estimation using trade and quote data," Journal of Financial Markets, Elsevier, vol. 6(3), pages 259-280, May.
13. 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.
14. Rösch, Dominik, 2021. "The impact of arbitrage on market liquidity," Journal of Financial Economics, Elsevier, vol. 142(1), pages 195-213.
15. Jurkatis, Simon, 2022. "Inferring trade directions in fast markets," Journal of Financial Markets, Elsevier, vol. 58(C).
16. 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.
17. 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.
18. Klein, Olga, 2020. "Trading aggressiveness and market efficiency," Journal of Financial Markets, Elsevier, vol. 47(C).
19. Joanna Olbryś & Michał Mursztyn, 2017. "Measurement of stock market liquidity supported by an algorithm inferring the initiator of a trade," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 27(4), pages 111-127.
20. Rama Cont & Arseniy Kukanov & Sasha Stoikov, 2010. "The Price Impact of Order Book Events," Papers 1011.6402, arXiv.org, revised Apr 2011.
21. Zhang, Sijia & Gregoriou, Andros, 2019. "The price behavior around initial loan announcements: Evidence from zero-leverage firms in the UK," Research in International Business and Finance, Elsevier, vol. 50(C), pages 191-200.
22. 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.
23. David Abad & Antonio Rubia, 2005. "Modelos De Estimacion De La Probabilidad De Negociacion Informada: Una Comparacion Metodologica En El Mercado Español," Working Papers. Serie EC 2005-12, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
24. Donglian Ma & Pengxiang Zhai, 2021. "The Accuracy of the Tick Rule in the Bitcoin Market," SAGE Open, , vol. 11(2), pages 21582440211, May.
25. Philip, R., 2020. "Estimating permanent price impact via machine learning," Journal of Econometrics, Elsevier, vol. 215(2), pages 414-449.
26. 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.