IDEAS home Printed from https://ideas.repec.org/r/eee/finmar/v16y2013i2p227-252.html
   My bibliography  Save this item

Microstructure-based manipulation: Strategic behavior and performance of spoofing traders

Citations

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


Cited by:

  1. Liu, Jie & Wu, Chonglin & Yuan, Lin & Liu, Jia, 2022. "Opening price manipulation and its value influences," International Review of Financial Analysis, Elsevier, vol. 83(C).
  2. Oliver Linton & Soheil Mahmoodzadeh, 2018. "Implications of High-Frequency Trading for Security Markets," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 237-259, August.
  3. Corsetti, G. & Lafarguette, R. & Mehl, A., 2019. "Fast Trading and the Virtue of Entropy: Evidence from the Foreign Exchange Market," Cambridge Working Papers in Economics 1970, Faculty of Economics, University of Cambridge.
  4. Enrique Mart'inez-Miranda & Peter McBurney & Matthew J. Howard, 2015. "Learning Unfair Trading: a Market Manipulation Analysis From the Reinforcement Learning Perspective," Papers 1511.00740, arXiv.org.
  5. Syed Qasim Shah & Izlin Ismail & Aidial Rizal bin Shahrin, 2020. "Heterogeneous investors and deterioration of market integrity: an analysis of market manipulation cases," Journal of Financial Crime, Emerald Group Publishing Limited, vol. 30(2), pages 389-403, May.
  6. Chung, Kee H. & Park, Seongkyu “Gilbert” & Ryu, Doojin, 2016. "Trade duration, informed trading, and option moneyness," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 395-411.
  7. Stenfors, Alexis & Doraghi, Mehrdaad & Soviany, Cristina & Susai, Masayuki & Vakili, Kaveh, 2023. "Cross-market spoofing," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
  8. Kadıoğlu, Eyüp & Frömmel, Michael, 2022. "Manipulation in the bond market and the role of investment funds: Evidence from an emerging market," International Review of Financial Analysis, Elsevier, vol. 79(C).
  9. James, Robert & Leung, Henry & Prokhorov, Artem, 2023. "A machine learning attack on illegal trading," Journal of Banking & Finance, Elsevier, vol. 148(C).
  10. Vasilios Mavroudis & Hayden Melton, 2019. "Libra: Fair Order-Matching for Electronic Financial Exchanges," Papers 1910.00321, arXiv.org.
  11. Shi, Fa-Bin & Sun, Xiao-Qian & Shen, Hua-Wei & Cheng, Xue-Qi, 2019. "Detect colluded stock manipulation via clique in trading network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 565-571.
  12. Kaushalya Kularatnam & Tania Stathaki, 2024. "Detecting and Triaging Spoofing using Temporal Convolutional Networks," Papers 2403.13429, arXiv.org.
  13. Luke M. Bennett & Wei Hu, 2023. "Filtration enlargement‐based time series forecast in view of insider trading," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 112-140, February.
  14. David Byrd, 2023. "Learning Not to Spoof," Papers 2306.06087, arXiv.org.
  15. Christos Alexakis & Vasileios Pappas & Emmanouil Skarmeas, 2021. "Market abuse under different close price determination mechanisms: A European case," Post-Print hal-03182927, HAL.
  16. Alexakis, Christos & Pappas, Vasileios & Skarmeas, Emmanouil, 2021. "Market abuse under different close price determination mechanisms: A European case," International Review of Financial Analysis, Elsevier, vol. 74(C).
  17. Luca Gelsomini, 2024. "On the Profitability of Rumors," Working Papers 2024: 06, Department of Economics, University of Venice "Ca' Foscari".
  18. Hui, Wang & Xin-gang, Zhao & Ling-zhi, Ren & Fan, Lu, 2021. "An agent-based modeling approach for analyzing the influence of market participants’ strategic behavior on green certificate trading," Energy, Elsevier, vol. 218(C).
  19. Xintong Wang & Christopher Hoang & Yevgeniy Vorobeychik & Michael P. Wellman, 2021. "Spoofing the Limit Order Book: A Strategic Agent-Based Analysis," Games, MDPI, vol. 12(2), pages 1-43, May.
  20. Baron Law & Frederi Viens, 2019. "Market Making under a Weakly Consistent Limit Order Book Model," Papers 1903.07222, arXiv.org, revised Jan 2020.
  21. Chaoshin Chiao & Zi-May Wang & Shiau-Yuan Tong, 2017. "Order cancellations across investor groups: evidence from an emerging order-driven market," Review of Quantitative Finance and Accounting, Springer, vol. 49(4), pages 1167-1193, November.
  22. Kemme, David M. & McInish, Thomas H. & Zhang, Jiang, 2022. "Market fairness and efficiency: Evidence from the Tokyo Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 134(C).
  23. Luisa Mendonça & Alan De Genaro, 2020. "Detection and analysis of occurrences of spoofing in the Brazilian capital market," Journal of Financial Regulation and Compliance, Emerald Group Publishing Limited, vol. 28(3), pages 369-408, March.
  24. Viktoria Dalko & Michael H. Wang, 2020. "High-frequency trading: Order-based innovation or manipulation?," Journal of Banking Regulation, Palgrave Macmillan, vol. 21(4), pages 289-298, December.
  25. Duong, Huu Nhan & Goyal, Abhinav & Kallinterakis, Vasileios & Veeraraghavan, Madhu, 2021. "Market manipulation rules and IPO underpricing," Journal of Corporate Finance, Elsevier, vol. 67(C).
  26. Eun Jung Lee & Yu Kyung Lee & Ryumi Kim, 2024. "Profitability and herding of trade-based pump-and-dump manipulation," Applied Economics, Taylor & Francis Journals, vol. 56(20), pages 2375-2385, April.
  27. Cao, Zhiqi & Lv, Dayong & Sun, Zhenzhen, 2021. "Stock price manipulation, short-sale constraints, and breadth-return relationship," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
  28. Xuan Tao & Andrew Day & Lan Ling & Samuel Drapeau, 2020. "On Detecting Spoofing Strategies in High Frequency Trading," Papers 2009.14818, arXiv.org, revised Dec 2020.
  29. Imisiker, Serkan & Tas, Bedri Kamil Onur, 2018. "Wash trades as a stock market manipulation tool," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 92-98.
  30. Kang, Bo Soo & Ryu, Doojin & Ryu, Doowon, 2014. "Phase-shifting behaviour revisited: An alternative measure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 167-173.
  31. Jia Zhai & Yi Cao & Xuemei Ding, 2018. "Data analytic approach for manipulation detection in stock market," Review of Quantitative Finance and Accounting, Springer, vol. 50(3), pages 897-932, April.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.