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Insider Trading, Stochastic Liquidity, and Equilibrium Prices

Citations

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Cited by:

  1. Shangkun Deng & Chenguang Wang & Zhe Fu & Mingyue Wang, 2021. "An Intelligent System for Insider Trading Identification in Chinese Security Market," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 593-616, February.
  2. Drummond, Philip A., 2023. "Market quality surrounding anticipated distraction events: Evidence from the FIFA World Cup," Journal of Financial Markets, Elsevier, vol. 63(C).
  3. Park, Yang-Ho, 2022. "Informed trading in foreign exchange futures: Payroll news timing," Journal of Banking & Finance, Elsevier, vol. 135(C).
  4. Cetin, Umut & Danilova, Albina, 2021. "On pricing rules and optimal strategies in general Kyle-Back models," LSE Research Online Documents on Economics 113003, London School of Economics and Political Science, LSE Library.
  5. Guo, Mng, 2023. "Dampening effect and market efficiency," Journal of Economic Dynamics and Control, Elsevier, vol. 148(C).
  6. Li, Jia & Phillips, Peter C. B. & Shi, Shuping & Yu, Jun, 2022. "Weak Identification of Long Memory with Implications for Inference," Economics and Statistics Working Papers 8-2022, Singapore Management University, School of Economics.
  7. Kruger, Samuel, 2018. "Disagreement and Liquidity," SocArXiv mfx6w_v1, Center for Open Science.
  8. Shusheng Ding & Tianxiang Cui & Yongmin Zhang & Jiawei Li, 2021. "Liquidity effects on oil volatility forecasting: From fintech perspective," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-21, November.
  9. Vincent Bogousslavsky & Vyacheslav Fos & Dmitriy Muravyev, 2024. "Informed Trading Intensity," Journal of Finance, American Finance Association, vol. 79(2), pages 903-948, April.
  10. Dionne, Georges & Zhou, Xiaozhou, 2024. "High price impact trades identication and its implication for volatility and price efficiency," Working Papers 24-3, HEC Montreal, Canada Research Chair in Risk Management.
  11. Jin Hyuk Choi & Heeyoung Kwon & Kasper Larsen, 2022. "Trading constraints in continuous-time Kyle models," Papers 2206.08117, arXiv.org.
  12. Reda Chhaibi & Ibrahim Ekren & Eunjung Noh & Lu Vy, 2022. "A unified approach to informed trading via Monge-Kantorovich duality," Papers 2210.17384, arXiv.org.
  13. Puru Gupta & Saul D. Jacka, 2023. "Portfolio Choice In Dynamic Thin Markets: Merton Meets Cournot," Papers 2309.16047, arXiv.org.
  14. Ibrahim Ekren & Brad Mostowski & Gordan v{Z}itkovi'c, 2022. "Kyle's Model with Stochastic Liquidity," Papers 2204.11069, arXiv.org.
  15. Ding, Shusheng & Cui, Tianxiang & Zheng, Dandan & Du, Min, 2021. "The effects of commodity financialization on commodity market volatility," Resources Policy, Elsevier, vol. 73(C).
  16. Schroth, Enrique & Albuquerque, Rui & Fos, Vyacheslav, 2020. "Value creation in Shareholder Activism: A Structural Approach," CEPR Discussion Papers 14995, C.E.P.R. Discussion Papers.
  17. Akey, Pat & Grégoire, Vincent & Martineau, Charles, 2022. "Price revelation from insider trading: Evidence from hacked earnings news," Journal of Financial Economics, Elsevier, vol. 143(3), pages 1162-1184.
  18. Weiyi Xia & Tao Xiong & Miao Li, 2024. "Can night trading reduce price volatility? Evidence from China's corn and corn starch futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(4), pages 585-604, April.
  19. Bian, Siyu & Serra, Teresa & Garcia, Philip & Irwin, Scott, 2022. "New evidence on market response to public announcements in the presence of microstructure noise," European Journal of Operational Research, Elsevier, vol. 298(2), pages 785-800.
  20. Christian Keller & Michael C. Tseng, 2023. "Arrow-Debreu Meets Kyle: Price Discovery Across Derivatives," Papers 2302.13426, arXiv.org, revised Feb 2025.
  21. Mona Mortazian, 2022. "Liquidity and Volatility of Stocks Moved from the Main Market to the Alternative Investment Market (AIM)," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(2), pages 195-220, June.
  22. Ryu, Doojin & Yang, Heejin & Yu, Jinyoung, 2022. "Insider trading and information asymmetry: Evidence from the Korea Exchange," Emerging Markets Review, Elsevier, vol. 51(PA).
  23. Peress, Joel & Schmidt, Daniel, 2021. "Noise traders incarnate: Describing a realistic noise trading process," Journal of Financial Markets, Elsevier, vol. 54(C).
  24. Liu, Hui & Chang, Yufan & Zuo, Man, 2023. "Key audit matters and insider trading profitability: Evidence from China," Journal of Contemporary Accounting and Economics, Elsevier, vol. 19(3).
  25. Han, Jinhui & Li, Xiaolong & Ma, Guiyuan & Kennedy, Adrian Patrick, 2023. "Strategic trading with information acquisition and long-memory stochastic liquidity," European Journal of Operational Research, Elsevier, vol. 308(1), pages 480-495.
  26. 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.
  27. Umut c{C}etin & Alaina Danilova, 2022. "Order routing and market quality: Who benefits from internalisation?," Papers 2212.07827, arXiv.org.
  28. Albuquerque, Rui & Fos, Vyacheslav & Schroth, Enrique, 2022. "Value creation in shareholder activism," Journal of Financial Economics, Elsevier, vol. 145(2), pages 153-178.
  29. Contreras, Harold & Marcet, Francisco, 2021. "Sell-side analyst heterogeneity and insider trading," Journal of Corporate Finance, Elsevier, vol. 66(C).
  30. Umut c{C}et{i}n, 2018. "Mathematics of Market Microstructure under Asymmetric Information," Papers 1809.03885, arXiv.org.
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