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High frequency trading and end-of-day price dislocation

Citations

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Cited by:

  1. Jeffrey MacIntosh, 2013. "High Frequency Traders: Angels or Devils?," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 391, October.
  2. Ligot, Stephanie & Gillet, Roland & Veryzhenko, Iryna, 2021. "Intraday volatility smile: Effects of fragmentation and high frequency trading on price efficiency," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
  3. Gider, Jasmin & Schmickler, Simon & Westheide, Christian, 2019. "High-frequency trading and price informativeness," SAFE Working Paper Series 248, Leibniz Institute for Financial Research SAFE, revised 2019.
  4. Goergen, Marc & Renneboog, Luc & Zhao, Yang, 2019. "Insider trading and networked directors," Journal of Corporate Finance, Elsevier, vol. 56(C), pages 152-175.
  5. Bazzana, Flavio & Collini, Andrea, 2020. "How does HFT activity impact market volatility and the bid-ask spread after an exogenous shock? An empirical analysis on S&P 500 ETF," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
  6. Anolick, Nina & Batten, Jonathan A. & Kinateder, Harald & Wagner, Niklas, 2021. "Time for gift giving: Abnormal share repurchase returns and uncertainty," Journal of Corporate Finance, Elsevier, vol. 66(C).
  7. Agarwalla, Sobhesh Kumar & Jacob, Joshy & Varma, Jayanth R., 2014. "High Frequency Manipulation at Futures Expiry: The Case of Cash Settled Indian Single Stock Futures," IIMA Working Papers WP2014-02-01, Indian Institute of Management Ahmedabad, Research and Publication Department.
  8. Alfred Ma, 2022. "Profitability of technical trading strategies under market manipulation," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-9, December.
  9. Oh, Sebeom, 2023. "Market Manipulation in NFT Markets," MPRA Paper 116704, University Library of Munich, Germany.
  10. Cumming, Douglas & Dannhauser, Robert & Johan, Sofia, 2015. "Financial market misconduct and agency conflicts: A synthesis and future directions," Journal of Corporate Finance, Elsevier, vol. 34(C), pages 150-168.
  11. Brogaard, Jonathan & Carrion, Allen & Moyaert, Thibaut & Riordan, Ryan & Shkilko, Andriy & Sokolov, Konstantin, 2018. "High frequency trading and extreme price movements," Journal of Financial Economics, Elsevier, vol. 128(2), pages 253-265.
  12. Cumming, Douglas & Johan, Sofia, 2019. "Capital-market effects of securities regulation: Prior conditions, implementation, and enforcement revisited," Finance Research Letters, Elsevier, vol. 31(C).
  13. Aitken, Michael & Cumming, Douglas & Zhan, Feng, 2015. "Exchange trading rules, surveillance and suspected insider trading," Journal of Corporate Finance, Elsevier, vol. 34(C), pages 311-330.
  14. Cumming, Douglas & Ji, Shan & Peter, Rejo & Tarsalewska, Monika, 2020. "Market manipulation and innovation," Journal of Banking & Finance, Elsevier, vol. 120(C).
  15. Khomyn, Marta & Putniņš, Tālis J., 2021. "Algos gone wild: What drives the extreme order cancellation rates in modern markets?," Journal of Banking & Finance, Elsevier, vol. 129(C).
  16. Atanasov, Vladimir & Davies, Ryan J. & Merrick, John J., 2015. "Financial intermediaries in the midst of market manipulation: Did they protect the fool or help the knave?," Journal of Corporate Finance, Elsevier, vol. 34(C), pages 210-234.
  17. Ekinci, Cumhur & Ersan, Oguz, 2018. "A new approach for detecting high-frequency trading from order and trade data," Finance Research Letters, Elsevier, vol. 24(C), pages 313-320.
  18. Laure Batz, 2023. "Financial market enforcement in France," European Journal of Law and Economics, Springer, vol. 55(3), pages 409-468, June.
  19. Shang, Chenguang, 2020. "Trade credit and stock liquidity," Journal of Corporate Finance, Elsevier, vol. 62(C).
  20. 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).
  21. Jurich, Stephen N. & Mishra, Ajay Kumar & Parikh, Bhavik, 2020. "Indecisive algos: Do limit order revisions increase market load?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
  22. Carlos Lenczewski, 2016. "The Role of High-Frequency Traders in the Foreign Exchange Market Bid-Ask Spreads," EUSP Department of Economics Working Paper Series Ec-01/16, European University at St. Petersburg, Department of Economics.
  23. 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).
  24. Anand, Amber & Venkataraman, Kumar, 2016. "Market conditions, fragility, and the economics of market making," Journal of Financial Economics, Elsevier, vol. 121(2), pages 327-349.
  25. Zhou, Hao & Kalev, Petko S., 2019. "Algorithmic and high frequency trading in Asia-Pacific, now and the future," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 186-207.
  26. Vasilios Mavroudis & Hayden Melton, 2019. "Libra: Fair Order-Matching for Electronic Financial Exchanges," Papers 1910.00321, arXiv.org.
  27. Aitken, Michael & Cumming, Douglas & Zhan, Feng, 2023. "Algorithmic trading and market quality: International evidence of the impact of errors in colocation dates," Journal of Banking & Finance, Elsevier, vol. 151(C).
  28. Zhou, Hao & Kalev, Petko S. & Frino, Alex, 2020. "Algorithmic trading in turbulent markets," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
  29. Ersan, Oguz & Simsir, Serif Aziz & Simsek, Koray D. & Hasan, Afan, 2021. "The speed of stock price adjustment to corporate announcements: Insights from Turkey," Emerging Markets Review, Elsevier, vol. 47(C).
  30. Xu, Liao & Yin, Xiangkang & Zhao, Jing, 2019. "The sidedness and informativeness of ETF trading and the market efficiency of their underlying indexes," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
  31. Cumming, Douglas J. & Firth, Christopher & Gathergood, John & Stewart, Neil, 2021. "Covid, work-from-home, and securities misconduct," CFS Working Paper Series 666, Center for Financial Studies (CFS).
  32. 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.
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