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The information content of an open limit‐order book

Citations

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Cited by:

  1. STEFANOVA, Julia, 2018. "High-Speed Technology Trading Innovations And Capital Market Performance In Bulgaria," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 22(2), pages 6-37, June.
  2. Tripathi, Abhinava & Dixit, Alok & Vipul,, 2021. "Information content of order imbalance in an order-driven market: Indian Evidence," Finance Research Letters, Elsevier, vol. 41(C).
  3. Mehdi Arzandeh & Julieta Frank, 2019. "Price Discovery in Agricultural Futures Markets: Should We Look beyond the Best Bid-Ask Spread?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(5), pages 1482-1498.
  4. Tripathi, Abhinava & Dixit, Alok & Vipul,, 2021. "Liquidity commonality in extreme quantiles: Indian evidence," Finance Research Letters, Elsevier, vol. 38(C).
  5. Gradojevic, Nikola & Erdemlioglu, Deniz & Gençay, Ramazan, 2020. "A new wavelet-based ultra-high-frequency analysis of triangular currency arbitrage," Economic Modelling, Elsevier, vol. 85(C), pages 57-73.
  6. Cebiroğlu, Gökhan & Horst, Ulrich, 2015. "Optimal order display in limit order markets with liquidity competition," Journal of Economic Dynamics and Control, Elsevier, vol. 58(C), pages 81-100.
  7. Ghadhab, Imen, 2018. "Arbitrage opportunities and liquidity: An intraday event study on cross-listed stocks," Journal of Multinational Financial Management, Elsevier, vol. 46(C), pages 1-10.
  8. Pueboobpaphan, Suthatip & Indra-Payoong, Nakorn & Opasanon, Sathaporn, 2019. "Experimental analysis of variable surcharge policy of taxi service auction," Transport Policy, Elsevier, vol. 76(C), pages 134-148.
  9. Pavlova, Evgenia & Cramon-Taubadel, Stephan von, 2016. "Measuring price discovery in agricultural markets," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235866, Agricultural and Applied Economics Association.
  10. Adamantios Ntakaris & Martin Magris & Juho Kanniainen & Moncef Gabbouj & Alexandros Iosifidis, 2017. "Benchmark Dataset for Mid-Price Forecasting of Limit Order Book Data with Machine Learning Methods," Papers 1705.03233, arXiv.org, revised Mar 2020.
  11. Leone, Vitor & Kwabi, Frank, 2019. "High frequency trading, price discovery and market efficiency in the FTSE100," Economics Letters, Elsevier, vol. 181(C), pages 174-177.
  12. Cebiroglu, Gökhan & Hautsch, Nikolaus & Horst, Ulrich, 2014. "Order exposure and liquidity coordination: Does hidden liquidity harm price efficiency?," CFS Working Paper Series 468, Center for Financial Studies (CFS).
  13. Zijian Shi & Yu Chen & John Cartlidge, 2021. "The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network," Papers 2103.01670, arXiv.org.
  14. Aaron Wray & Matthew Meades & Dave Cliff, 2020. "Automated Creation of a High-Performing Algorithmic Trader via Deep Learning on Level-2 Limit Order Book Data," Papers 2012.00821, arXiv.org.
  15. Zhicheng Li & Haipeng Xing & Xinyun Chen, 2019. "A multifactor regime-switching model for inter-trade durations in the limit order market," Papers 1912.00764, arXiv.org.
  16. Anand, Amber & Irvine, Paul & Liu, Tingting, 2019. "Does institutional trading affect underwriting?," Journal of Corporate Finance, Elsevier, vol. 58(C), pages 1-1.
  17. Zihao Zhang & Stefan Zohren & Stephen Roberts, 2018. "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books," Papers 1808.03668, arXiv.org, revised Jan 2020.
  18. Chen, Yuanyuan & Gao, Xuefeng & Li, Duan, 2018. "Optimal order execution using hidden orders," Journal of Economic Dynamics and Control, Elsevier, vol. 94(C), pages 89-116.
  19. Wu, Liang & Liu, Hengzhi & Liu, Chang & Long, Yunshen, 2020. "Determining the information share of liquidity and order flows in extreme price movements," Economic Modelling, Elsevier, vol. 93(C), pages 559-575.
  20. Matthias Schnaubelt & Jonas Rende & Christopher Krauss, 2019. "Testing Stylized Facts of Bitcoin Limit Order Books," JRFM, MDPI, vol. 12(1), pages 1-30, February.
  21. Alexandru Mandes, 2016. "Algorithmic and High-Frequency Trading Strategies: A Literature Review," MAGKS Papers on Economics 201625, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  22. Rannou, Yves, 2017. "Liquidity, information, strategic trading in an electronic order book: New insights from the European carbon markets," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 779-808.
  23. Jain, Pawan & Jiang, Christine, 2014. "Predicting future price volatility: Empirical evidence from an emerging limit order market," Pacific-Basin Finance Journal, Elsevier, vol. 27(C), pages 72-93.
  24. Tian, Xiao & Duong, Huu Nhan & Kalev, Petko S., 2019. "Information content of the limit order book for crude oil futures price volatility," Energy Economics, Elsevier, vol. 81(C), pages 584-597.
  25. Danny Lo, 2015. "Essays in Market Microstructure and Investor Trading," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 22, July-Dece.
  26. Stenfors, Alexis & Susai, Masayuki, 2019. "Liquidity withdrawal in the FX spot market: A cross-country study using high-frequency data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 59(C), pages 36-57.
  27. Amaya, Diego & Filbien, Jean-Yves & Okou, Cédric & Roch, Alexandre F., 2018. "Distilling liquidity costs from limit order books," Journal of Banking & Finance, Elsevier, vol. 94(C), pages 16-34.
  28. Schnaubelt, Matthias, 2022. "Deep reinforcement learning for the optimal placement of cryptocurrency limit orders," European Journal of Operational Research, Elsevier, vol. 296(3), pages 993-1006.
  29. Cenesizoglu, Tolga & Dionne, Georges & Zhou, Xiaozhou, 2022. "Asymmetric effects of the limit order book on price dynamics," Journal of Empirical Finance, Elsevier, vol. 65(C), pages 77-98.
  30. Martin D. Gould & Julius Bonart, 2015. "Queue Imbalance as a One-Tick-Ahead Price Predictor in a Limit Order Book," Papers 1512.03492, arXiv.org.
  31. Kalaitzoglou, Iordanis Angelos & Ibrahim, Boulis Maher, 2023. "Market conditions and order-type preference," International Review of Financial Analysis, Elsevier, vol. 87(C).
  32. Schnaubelt, Matthias, 2020. "Deep reinforcement learning for the optimal placement of cryptocurrency limit orders," FAU Discussion Papers in Economics 05/2020, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
  33. 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.
  34. Mazza, Paolo, 2015. "Price dynamics and market liquidity: An intraday event study on Euronext," The Quarterly Review of Economics and Finance, Elsevier, vol. 56(C), pages 139-153.
  35. Chris Kenyon & Jan Camenisch, 2011. "Provably linkable trading," Quantitative Finance, Taylor & Francis Journals, vol. 11(5), pages 641-651.
  36. Alexis Stenfors & Masayuki Susai, 2017. "Algorithmic Trading Behaviour and High-Frequency Liquidity Withdrawal in the FX Spot Market," Working Papers in Economics & Finance 2017-04, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
  37. Nawn, Samarpan & Banerjee, Ashok, 2019. "Do the limit orders of proprietary and agency algorithmic traders discover or obscure security prices?," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 109-125.
  38. Vinay Patel, 2015. "Price Discovery in US and Australian Stock and Options Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 27, July-Dece.
  39. Lo, Danny K. & Hall, Anthony D., 2015. "Resiliency of the limit order book," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 222-244.
  40. Ouarda Moatemri & Abdelfeteh El-Bori, 2017. "Trading Volume Levels and Stock Returns: Empirical Behavioral Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 632-638.
  41. Ke, Wen-Chyan & Chen, Hueiling & Lin, Hsiou-Wei W. & Liu, Yo-Chia, 2017. "The impact of numerical superstition on the final digit of stock price," The North American Journal of Economics and Finance, Elsevier, vol. 39(C), pages 145-157.
  42. Alexis Stenfors & Masayuki Susai, 2021. "Stealth Trading in FX Markets," Working Papers in Economics & Finance 2021-02, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
  43. Matthew F Dixon, 2017. "Sequence Classification of the Limit Order Book using Recurrent Neural Networks," Papers 1707.05642, arXiv.org.
  44. Abhinava Tripathi & Vipul & Alok Dixit, 0. "Liquidity commonality beyond best prices: Indian evidence," Journal of Asset Management, Palgrave Macmillan, vol. 0, pages 1-19.
  45. Raffaele Giuseppe Cestari & Filippo Barchi & Riccardo Busetto & Daniele Marazzina & Simone Formentin, 2023. "Hawkes-based cryptocurrency forecasting via Limit Order Book data," Papers 2312.16190, arXiv.org.
  46. Singh, Ranjodh B. & Gould, John & Chan, Felix & Yang, Joey Wenling, 2016. "Liquidation discount—a novel application of ARFIMA–GARCH," Journal of Empirical Finance, Elsevier, vol. 36(C), pages 151-161.
  47. Li, Zhicheng & Chen, Xinyun & Xing, Haipeng, 2023. "A multifactor regime-switching model for inter-trade durations in the high-frequency limit order market," Economic Modelling, Elsevier, vol. 118(C).
  48. Abhinava Tripathi & Vipul & Alok Dixit, 2020. "Liquidity commonality beyond best prices: Indian evidence," Journal of Asset Management, Palgrave Macmillan, vol. 21(4), pages 355-373, July.
  49. Lin, William T. & Tsai, Shih-Chuan & Chiu, Peter, 2016. "Do foreign institutions outperform in the Taiwan options market?," The North American Journal of Economics and Finance, Elsevier, vol. 35(C), pages 101-115.
  50. Notheisen, Benedikt & Marino, Vincenzo & Englert, Daniel & Weinhardt, Christof, 2019. "Trading stocks on blocks: The quality of decentralized markets," Working Paper Series in Economics 129, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
  51. Alexis Stenfors & Kaveesha Dilshani & Andy Guo & Peter Mere, 2023. "A Model to Quantify the Risk of Cross-Product Manipulation: Evidence from the European Government Bond Futures Market," Working Papers in Economics & Finance 2023-06, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
  52. Cenesizoglu, Tolga & Grass, Gunnar, 2018. "Bid- and ask-side liquidity in the NYSE limit order book," Journal of Financial Markets, Elsevier, vol. 38(C), pages 14-38.
  53. Jin Fang & Jiacheng Weng & Yi Xiang & Xinwen Zhang, 2022. "Imitate then Transcend: Multi-Agent Optimal Execution with Dual-Window Denoise PPO," Papers 2206.10736, arXiv.org.
  54. Stefan Frey & Patrik Sandås, 2017. "The Impact of Iceberg Orders in Limit Order Books," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 7(03), pages 1-43, September.
  55. Matthew F Dixon, 2017. "A High Frequency Trade Execution Model for Supervised Learning," Papers 1710.03870, arXiv.org, revised Dec 2017.
  56. Y, Ivanenko. & B, Munier., 2012. "Price as a choice under nonstochastic randomness in finance," Working papers 381, Banque de France.
  57. Danny Lo, 2015. "Essays in Market Microstructure and Investor Trading," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2015, January-A.
  58. Rama Cont & Mihai Cucuringu & Chao Zhang, 2021. "Cross-Impact of Order Flow Imbalance in Equity Markets," Papers 2112.13213, arXiv.org, revised Jun 2023.
  59. Michael Goldstein & Amy Kwan & Richard Philip, 2023. "High-Frequency Trading Strategies," Management Science, INFORMS, vol. 69(8), pages 4413-4434, August.
  60. Vinay Patel, 2015. "Price Discovery in US and Australian Stock and Options Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 6-2015, January-A.
  61. Philip, R., 2020. "Estimating permanent price impact via machine learning," Journal of Econometrics, Elsevier, vol. 215(2), pages 414-449.
  62. Hong Guo & Jianwu Lin & Fanlin Huang, 2023. "Market Making with Deep Reinforcement Learning from Limit Order Books," Papers 2305.15821, arXiv.org.
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