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Flow Toxicity and Liquidity in a High-frequency World

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Cited by:

  1. Cipriani, Marco & Guarino, Antonio & Uthemann, Andreas, 2022. "Financial transaction taxes and the informational efficiency of financial markets: A structural estimation," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1044-1072.
  2. Chang, Sanders S. & Wang, F. Albert, 2015. "Adverse selection and the presence of informed trading," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 19-33.
  3. Cespa, Giovanni & Vives, Xavier, 2017. "High frequency trading and fragility," Working Paper Series 2020, European Central Bank.
  4. Bellia, Mario & Pelizzon, Loriana & Subrahmanyam, Marti & Uno, Jun & Yuferova, Darya, 2017. "Coming early to the party," SAFE Working Paper Series 182, Leibniz Institute for Financial Research SAFE.
    • Mario Bellia & Loriana Pelizzon & Marti G. Subrahmanyam & Jun Uno & Darya Yuferova, 2020. "Coming early to the party," Working Papers 2020:11, Department of Economics, University of Venice "Ca' Foscari".
  5. Yanyi Ye & Yun Wang & Xiaoguang Yang, 2022. "Bank loan information and information asymmetry in the stock market: evidence from China," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-28, December.
  6. Xin Ling, 2017. "Normality of stock returns with event time clocks," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57, pages 277-298, April.
  7. Ivan Jericevich & Patrick Chang & Tim Gebbie, 2020. "Comparing the market microstructure between two South African exchanges," Papers 2011.04367, arXiv.org.
  8. Ghadhab, Imen & Hellara, Slaheddine, 2016. "Price discovery of cross-listed firms," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 177-188.
  9. Alexandru Mandes, 2020. "Impact of Electronic Liquidity Providers Within a High-Frequency Agent-Based Modeling Framework," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 407-450, February.
  10. Barardehi, Yashar H. & Bernhardt, Dan & Ruchti, Thomas G., 2019. "A test of speculative arbitrage: is the cross-section of volatility invariant?," The Warwick Economics Research Paper Series (TWERPS) 1204, University of Warwick, Department of Economics.
  11. Mila Getmansky & Ravi Jagannathan & Loriana Pelizzon & Ernst Schaumburg & Darya Yuferova, 2017. "Stock Price Crashes: Role of Slow-Moving Capital," NBER Working Papers 24098, National Bureau of Economic Research, Inc.
  12. Thierry Foucault & Roman Kozhan & Wing Wah Tham, 2017. "Toxic Arbitrage," The Review of Financial Studies, Society for Financial Studies, vol. 30(4), pages 1053-1094.
  13. Bank, Matthias & Baumann, Ralf H., 2016. "Price formation, market quality and the effects of reduced latency in the very short run," Research in International Business and Finance, Elsevier, vol. 37(C), pages 629-645.
  14. Masahiro Yamada & Takatoshi Ito, 2020. "Price Discovery and Liquidity Recovery: Forex Market Reactions to Macro Announcements," NBER Working Papers 27036, National Bureau of Economic Research, Inc.
  15. Chen, Xiaohong & Linton, Oliver & Schneeberger, Stefan & Yi, Yanping, 2019. "Semiparametric estimation of the bid–ask spread in extended roll models," Journal of Econometrics, Elsevier, vol. 208(1), pages 160-178.
  16. Lof, Matthijs & van Bommel, Jos, 2023. "Asymmetric information and the distribution of trading volume," Journal of Corporate Finance, Elsevier, vol. 82(C).
  17. Keunbae Ahn, 2021. "Predictable Fluctuations in the Cross-Section and Time-Series of Asset Prices," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2021.
  18. Torben G. Andersen & Oleg Bondarenko, 2013. "Assessing Measures of Order Flow Toxicity via Perfect Trade Classification," CREATES Research Papers 2013-43, Department of Economics and Business Economics, Aarhus University.
  19. Rene Carmona & Kevin Webster, 2017. "The microstructure of high frequency markets," Papers 1709.02015, arXiv.org.
  20. 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.
  21. Peter B. Lerner, 2022. "Fourier Integral Operator Model of Market Liquidity: The Chinese Experience 2009–2010," Mathematics, MDPI, vol. 10(14), pages 1-25, July.
  22. Bonnie F. Van Ness & Robert A. Van Ness & Serhat Yildiz, 2017. "The role of HFTs in order flow toxicity and stock price variance, and predicting changes in HFTs’ liquidity provisions," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(4), pages 739-762, October.
  23. Patrick Chang & Etienne Pienaar & Tim Gebbie, 2020. "The Epps effect under alternative sampling schemes," Papers 2011.11281, arXiv.org, revised Aug 2021.
  24. O’Hara, Maureen, 2015. "High frequency market microstructure," Journal of Financial Economics, Elsevier, vol. 116(2), pages 257-270.
  25. Chakrabarty, Bidisha & Pascual, Roberto & Shkilko, Andriy, 2015. "Evaluating trade classification algorithms: Bulk volume classification versus the tick rule and the Lee-Ready algorithm," Journal of Financial Markets, Elsevier, vol. 25(C), pages 52-79.
  26. Boyue Fang & Yutong Feng, 2019. "Design of High-Frequency Trading Algorithm Based on Machine Learning," Papers 1912.10343, arXiv.org.
  27. Yang, Yung Chiang & Zhang, Bohui & Zhang, Chu, 2020. "Is information risk priced? Evidence from abnormal idiosyncratic volatility," Journal of Financial Economics, Elsevier, vol. 135(2), pages 528-554.
  28. James Paulin & Anisoara Calinescu & Michael Wooldridge, 2018. "Understanding Flash Crash Contagion and Systemic Risk: A Micro-Macro Agent-Based Approach," Papers 1805.08454, arXiv.org.
  29. Yen-Hsien Lee & Wen-Chien Liu & Chia-Lin Hsieh, 2017. "Informed Trading of Futures Markets During the Financial Crisis: Evidence from the VPIN," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(9), pages 123-132, September.
  30. Aitken, Michael & Cumming, Douglas & Zhan, Feng, 2015. "High frequency trading and end-of-day price dislocation," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 330-349.
  31. Ibikunle, Gbenga & Aquilina, Matteo & Diaz-Rainey, Ivan & Sun, Yuxin, 2021. "City goes dark: Dark trading and adverse selection in aggregate markets," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 1-22.
  32. Corsetti, Giancarlo & Lafarguette, Romain & Mehl, Arnaud, 2019. "Fast trading and the virtue of entropy: evidence from the foreign exchange market," Working Paper Series 2300, European Central Bank.
  33. Torben G. Andersen & Oleg Bondarenko, 2015. "Assessing Measures of Order Flow Toxicity and Early Warning Signals for Market Turbulence," Review of Finance, European Finance Association, vol. 19(1), pages 1-54.
  34. Chaeshick Chung & Sukjin Park, 2021. "Deep Learning Market Microstructure: Dual-Stage Attention-Based Recurrent Neural Networks," Working Papers 2108, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
  35. Pagano, Marco & Sánchez Serrano, Antonio & Zechner, Jozef, 2019. "Can ETFs contribute to systemic risk?," Report of the Advisory Scientific Committee 9, European Systemic Risk Board.
  36. Mark Paddrik & Roy Hayes & William Scherer & Peter Beling, 2017. "Effects of limit order book information level on market stability metrics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 221-247, July.
  37. Ibikunle, Gbenga, 2018. "Trading places: Price leadership and the competition for order flow," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 178-200.
  38. Patrick Chang & Roger Bukuru & Tim Gebbie, 2019. "Revisiting the Epps effect using volume time averaging: An exercise in R," Papers 1912.02416, arXiv.org, revised Feb 2020.
  39. David Easley & Marcos López de Prado & Maureen O’Hara & Zhibai Zhang & Wei Jiang, 2021. "Microstructure in the Machine Age [The risk of machine learning]," Review of Financial Studies, Society for Financial Studies, vol. 34(7), pages 3316-3363.
  40. Andersen, Torben G. & Bondarenko, Oleg, 2014. "VPIN and the flash crash," Journal of Financial Markets, Elsevier, vol. 17(C), pages 1-46.
  41. repec:zbw:bofrdp:2018_001 is not listed on IDEAS
  42. Hatheway, Frank & Kwan, Amy & Zheng, Hui, 2017. "An Empirical Analysis of Market Segmentation on U.S. Equity Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(6), pages 2399-2427, December.
  43. Alessia Testa, 2019. "Path-dependent behavior and information leakage in financial markets," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 67(4), pages 909-949, June.
  44. Conrad, Jennifer & Wahal, Sunil, 2020. "The term structure of liquidity provision," Journal of Financial Economics, Elsevier, vol. 136(1), pages 239-259.
  45. Schreder, Max, 2018. "Idiosyncratic information and the cost of equity capital: A meta-analytic review of the literature," Journal of Accounting Literature, Elsevier, vol. 41(C), pages 142-172.
  46. Gehrig, Thomas & Haas, Marlene, 2014. "Lehman Brothers: What Did Markets Know?," CEPR Discussion Papers 9893, C.E.P.R. Discussion Papers.
  47. Breedon, Francis & Chen, Louisa & Ranaldo, Angelo & Vause, Nicholas, 2023. "Judgment day: Algorithmic trading around the Swiss franc cap removal," Journal of International Economics, Elsevier, vol. 140(C).
  48. Chen, Xing & Wu, Chongfeng, 2022. "Retail investor attention and information asymmetry: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
  49. Prodromou, Tina & Westerholm, P. Joakim, 2022. "Are high frequency traders responsible for extreme price movements?," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 94-111.
  50. Abad, David & Nieto, Belén & Pascual, Roberto & Rubio, Gonzalo, 2023. "Market-wide illiquidity and the distribution of non-parametric stochastic discount factors," International Review of Financial Analysis, Elsevier, vol. 87(C).
  51. David Abad & Juan Pedro Sánchez-Ballesta & José Yagüe, 2017. "The short-term debt choice under asymmetric information," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 8(3), pages 261-285, August.
  52. Bernile, Gennaro & Hu, Jianfeng & Tang, Yuehua, 2016. "Can information be locked up? Informed trading ahead of macro-news announcements," Journal of Financial Economics, Elsevier, vol. 121(3), pages 496-520.
  53. Chung, Dennis Y. & Hrazdil, Karel, 2012. "Speed of convergence to market efficiency: The role of ECNs," Journal of Empirical Finance, Elsevier, vol. 19(5), pages 702-720.
  54. 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).
  55. Chang, Patrick & Pienaar, Etienne & Gebbie, Tim, 2021. "The Epps effect under alternative sampling schemes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
  56. Jurkatis, Simon, 2022. "Inferring trade directions in fast markets," Journal of Financial Markets, Elsevier, vol. 58(C).
  57. Tirapat, Sunti & Visaltanachoti, Nuttawat, 2013. "Opportunistic insider trading," Pacific-Basin Finance Journal, Elsevier, vol. 21(1), pages 1046-1061.
  58. Giovanni Cespa & Xavier Vives, 2016. "Market Transparency and Fragility," CESifo Working Paper Series 6279, CESifo.
  59. Ibikunle, Gbenga & McGroarty, Frank & Rzayev, Khaladdin, 2020. "More heat than light: Investor attention and bitcoin price discovery," International Review of Financial Analysis, Elsevier, vol. 69(C).
  60. Bushee, Brian & Cedergren, Matthew & Michels, Jeremy, 2020. "Does the media help or hurt retail investors during the IPO quiet period?," Journal of Accounting and Economics, Elsevier, vol. 69(1).
  61. David Abad & M. Fuensanta Cutillas†Gomariz & Juan Pedro Sánchez†Ballesta & José Yagüe, 2018. "Does IFRS Mandatory Adoption Affect Information Asymmetry in the Stock Market?," Australian Accounting Review, CPA Australia, vol. 28(1), pages 61-78, March.
  62. Kyle Bechler & Michael Ludkovski, 2017. "Order Flows and Limit Order Book Resiliency on the Meso-Scale," Papers 1708.02715, arXiv.org.
  63. Neil Johnson & Guannan Zhao & Eric Hunsader & Jing Meng & Amith Ravindar & Spencer Carran & Brian Tivnan, 2012. "Financial black swans driven by ultrafast machine ecology," Papers 1202.1448, arXiv.org.
  64. Wenqian Huang & Albert J. Menkveld & Shihao Yu, 2021. "Central Counterparty Exposure in Stressed Markets," Management Science, INFORMS, vol. 67(6), pages 3596-3617, June.
  65. Steffen, Viktoria, 2023. "A literature review on extreme price movements with reversal," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
  66. Paulin, James & Calinescu, Anisoara & Wooldridge, Michael, 2019. "Understanding flash crash contagion and systemic risk: A micro–macro agent-based approach," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 200-229.
  67. Kyle Bechler & Mike Ludkovski, 2014. "Optimal Execution with Dynamic Order Flow Imbalance," Papers 1409.2618, arXiv.org, revised Oct 2014.
  68. Ulze, Markus & Stadler, Johannes & Rathgeber, Andreas W., 2021. "No country for old distributions? On the comparison of implied option parameters between the Brownian motion and variance gamma process," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 163-184.
  69. Sánchez Serrano Antonio, 2020. "High-Frequency Trading and Systemic Risk: A Structured Review of Findings and Policies," Review of Economics, De Gruyter, vol. 71(3), pages 169-195, December.
  70. Borochin, Paul & Rush, Stephen, 2022. "Information networks in the financial sector and systemic risk," Journal of Banking & Finance, Elsevier, vol. 134(C).
  71. Quan Gan & Wang Chun Wei & David Johnstone, 2015. "A faster estimation method for the probability of informed trading using hierarchical agglomerative clustering," Quantitative Finance, Taylor & Francis Journals, vol. 15(11), pages 1805-1821, November.
  72. Gehrig, Thomas & Haas, Marlene, 2016. "Anomalous Trading Prior to Lehman Brothers' Failure," CEPR Discussion Papers 11194, C.E.P.R. Discussion Papers.
  73. Andersen, Torben G. & Bondarenko, Oleg, 2014. "Reflecting on the VPIN dispute," Journal of Financial Markets, Elsevier, vol. 17(C), pages 53-64.
  74. Tarun Chordia & Jianfeng Hu & Avanidhar Subrahmanyam & Qing Tong, 2019. "Order Flow Volatility and Equity Costs of Capital," Management Science, INFORMS, vol. 65(4), pages 1520-1551, April.
  75. Qadan, Mahmoud, 2018. "Switches in price discovery: Are U.S. traders more qualified in making valuations?," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 221-234.
  76. Ivan Indriawan & Feng Jiao & Yiuman Tse, 2019. "The impact of the US stock market opening on price discovery of government bond futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(7), pages 779-802, July.
  77. Edward Sun & Timm Kruse & Min-Teh Yu, 2014. "High frequency trading, liquidity, and execution cost," Annals of Operations Research, Springer, vol. 223(1), pages 403-432, December.
  78. 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.
  79. Chen, Tao, 2018. "Round-number biases and informed trading in global markets," Journal of Business Research, Elsevier, vol. 92(C), pages 105-117.
  80. Yang, Haijun & Xue, Feng, 2021. "Analysis of stock market volatility: Adjusted VPIN with high-frequency data," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 210-222.
  81. Easley, David & López de Prado, Marcos M. & O'Hara, Maureen, 2014. "VPIN and the Flash Crash: A rejoinder," Journal of Financial Markets, Elsevier, vol. 17(C), pages 47-52.
  82. Jagannathan, Ravi & Pelizzon, Loriana & Schaumburg, Ernst & Sherman, Mila Getmansky & Yuferova, Darya, 2022. "Recovery from fast crashes: Role of mutual funds," Journal of Financial Markets, Elsevier, vol. 59(PB).
  83. Jan Hanousek & Hoje Jo & Christos Pantzalis & Jung Chul Park, 2023. "A Dilemma of Self-interest vs. Ethical Responsibilities in Political Insider Trading," Journal of Business Ethics, Springer, vol. 187(1), pages 137-167, September.
  84. Chang, Sanders S. & Albert Wang, F., 2019. "Informed contrarian trades and stock returns," Journal of Financial Markets, Elsevier, vol. 42(C), pages 75-93.
  85. Tang, Liang & Wan, Xiangyu, 2022. "Economic policy uncertainty and stock price informativeness," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
  86. Easley, David & de Prado, Marcos Lopez & O'Hara, Maureen, 2016. "Discerning information from trade data," Journal of Financial Economics, Elsevier, vol. 120(2), pages 269-285.
  87. 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).
  88. Franklin Allen & Xian Gu & Julapa Jagtiani, 2021. "A Survey of Fintech Research and Policy Discussion," Review of Corporate Finance, now publishers, vol. 1(3-4), pages 259-339, July.
  89. Hu, Grace Xing & Pan, Jun & Wang, Jiang, 2017. "Early peek advantage? Efficient price discovery with tiered information disclosure," Journal of Financial Economics, Elsevier, vol. 126(2), pages 399-421.
  90. Yamada, Masahiro & Ito, Takatoshi, 2022. "Price discovery and liquidity recovery: Forex market reactions to macro announcements," Journal of International Money and Finance, Elsevier, vol. 120(C).
  91. Chu, Gang & Dowling, Michael & Shen, Dehua & Zhang, Yongjie, 2023. "Information demand density matters: Evidence from the post-earnings announcement drift," International Review of Financial Analysis, Elsevier, vol. 86(C).
  92. Ke, Wen-Chyan & Chen, Hueiling & Lin, Hsiou-Wei William, 2019. "A note of techniques that mitigate floating-point errors in PIN estimation," Finance Research Letters, Elsevier, vol. 31(C).
  93. Wu, Weili & Zhu, Feifei, 2023. "ETF ownership and informational efficiency of underlying stocks: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
  94. Eduard Krkoska & Klaus Reiner Schenk-Hoppé, 2019. "Herding in Smart-Beta Investment Products," JRFM, MDPI, vol. 12(1), pages 1-14, March.
  95. Edward W. Sun & Timm Kruse & Yi-Ting Chen, 2019. "Stylized algorithmic trading: satisfying the predictive near-term demand of liquidity," Annals of Operations Research, Springer, vol. 281(1), pages 315-347, October.
  96. Martin Bugeja & Vinay Patel & Terry Walter, 2015. "The microstructure of Australian takeover announcements," Australian Journal of Management, Australian School of Business, vol. 40(1), pages 161-188, February.
  97. Noss, Joseph & Pedace, Lucas & Tobek, Ondrej & Linton, Oliver & Crowley-Reidy, Liam, 2017. "The October 2016 sterling flash episode: when liquidity disappeared from one of the world’s most liquid markets," Bank of England working papers 687, Bank of England.
  98. David-Jan Jansen, 2019. "Did Spillovers From Europe Indeed Contribute to the 2010 U.S. Flash Crash?," DNB Working Papers 622, Netherlands Central Bank, Research Department.
  99. Ping-Chen Tsai & Chi-Ming Tsai, 2021. "Estimating the proportion of informed and speculative traders in financial markets: evidence from exchange rate," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(3), pages 443-470, July.
  100. Liu, Xiaojun & Wang, Li & Dai, Yunhao, 2023. "Capital market liberalization and opportunistic insider sales: Evidence from China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 82(C).
  101. Aldrich, Eric M. & Friedman, Daniel, 2017. "Order protection through delayed messaging," Discussion Papers, Research Professorship Market Design: Theory and Pragmatics SP II 2017-502, WZB Berlin Social Science Center.
  102. Travis L. Johnson & Eric C. So, 2018. "A Simple Multimarket Measure of Information Asymmetry," Management Science, INFORMS, vol. 64(3), pages 1055-1080, March.
  103. Chai, Edwina F.L. & Lee, Adrian D. & Wang, Jianxin, 2015. "Global information distribution in the gold OTC markets," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 206-217.
  104. Ito, Takatoshi & Yamada, Masahiro, 2017. "Puzzles in the Tokyo fixing in the forex market: Order imbalances and Bank pricing," Journal of International Economics, Elsevier, vol. 109(C), pages 214-234.
  105. Donglian Ma & Pengxiang Zhai, 2021. "The Accuracy of the Tick Rule in the Bitcoin Market," SAGE Open, , vol. 11(2), pages 21582440211, May.
  106. Eric M. Aldrich & Daniel Friedman, 2023. "Order Protection Through Delayed Messaging," Management Science, INFORMS, vol. 69(2), pages 774-790, February.
  107. Abad, David & Massot, Magdalena & Pascual, Roberto, 2018. "Evaluating VPIN as a trigger for single-stock circuit breakers," Journal of Banking & Finance, Elsevier, vol. 86(C), pages 21-36.
  108. Yameng Zheng, 2017. "VPIN and the China¡¯s Circuit-Breaker," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(12), pages 126-133, December.
  109. Rene Carmona & Kevin Webster, 2013. "The Self-Financing Equation in High Frequency Markets," Papers 1312.2302, arXiv.org.
  110. Angerer, Martin & Neugebauer, Tibor & Shachat, Jason, 2023. "Arbitrage bots in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 262-278.
  111. Jonathan Brogaard & Terrence Hendershott & Ryan Riordan, 2014. "High-Frequency Trading and Price Discovery," The Review of Financial Studies, Society for Financial Studies, vol. 27(8), pages 2267-2306.
  112. Erhan Bayraktar & Alexander Munk, 2017. "Mini-Flash Crashes, Model Risk, and Optimal Execution," Papers 1705.09827, arXiv.org, revised Aug 2018.
  113. Alexandru Mandes, 2015. "Impact of inventory-based electronic liquidity providers within a high-frequency event- and agent-based modeling framework," MAGKS Papers on Economics 201515, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  114. Gonçalves, Jorge & Kräussl, Roman & Levin, Vladimir, 2019. "Do "speed bumps" prevent accidents in financial markets?," CFS Working Paper Series 636, Center for Financial Studies (CFS).
  115. Chang, Charles & Lin, Emily, 2015. "Cash-futures basis and the impact of market maturity, informed trading, and expiration effects," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 197-213.
  116. Черкасова Виктория Артуровна & Дуняшева Регина Фаритовна, 2016. "Инвестиционные Решения Компаний В Условиях Асимметрии Информации," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 20(4), pages 655-690.
  117. Sağlam, Mehmet & Moallemi, Ciamac C. & Sotiropoulos, Michael G., 2019. "Short-term trading skill: An analysis of investor heterogeneity and execution quality," Journal of Financial Markets, Elsevier, vol. 42(C), pages 1-28.
  118. Aliyev, Nihad & He, Xue-Zhong, 2023. "Ambiguous price formation," Journal of Mathematical Economics, Elsevier, vol. 106(C).
  119. Arnab Bhattacharya & Binay Bhushan Chakrabarti, 2014. "An Examination of Adverse Selection Risk in Indian IPO After-Markets using High Frequency Data," International Journal of Economic Sciences, Prague University of Economics and Business, vol. 2014(3), pages 01-49.
  120. Michael Frömmel & Eyup Kadioglu, 2023. "Impact of trading hours extensions on foreign exchange volatility: intraday evidence from the Moscow exchange," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
  121. Albert J. Menkveld & Bart Zhou Yueshen, 2019. "The Flash Crash: A Cautionary Tale About Highly Fragmented Markets," Management Science, INFORMS, vol. 65(10), pages 4470-4488, October.
  122. Li, Mingsheng & Liu, Desheng & Peng, Hongfeng & Zhang, Luxiu, 2020. "Does low synchronicity mean more or less informative prices? Evidence from an emerging market," Journal of Financial Stability, Elsevier, vol. 51(C).
  123. Zhang, Teng & Xu, Zhiwei, 2023. "The informational feedback effect of stock prices on corporate investments: A comparison of new energy firms and traditional energy firms in China," Energy Economics, Elsevier, vol. 127(PA).
  124. Paparizos, Panagiotis & Dimitriou, Dimitrios & Kenourgios, Dimitris & Simos, Theodore, 2016. "On high frequency dynamics between information asymmetry and volatility for securities," The Journal of Economic Asymmetries, Elsevier, vol. 13(C), pages 21-34.
  125. Cakici, Nusret & Goswami, Gautam & Tan, Sinan, 2014. "Options resilience during extreme volatility: Evidence from the market events of May 2010," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 262-274.
  126. Agudelo, Diego A. & Giraldo, Santiago & Villarraga, Edwin, 2015. "Does PIN measure information? Informed trading effects on returns and liquidity in six emerging markets," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 149-161.
  127. Lof, Matthijs & Bommel, Jos van, 2018. "Asymmetric information and the distribution of trading volume," Research Discussion Papers 1/2018, Bank of Finland.
  128. Kim, Sangwan & Lim, Steve C., 2017. "Earnings comparability and informed trading," Finance Research Letters, Elsevier, vol. 20(C), pages 130-136.
  129. Lai, Sandy & Ng, Lilian & Zhang, Bohui, 2014. "Does PIN affect equity prices around the world?," Journal of Financial Economics, Elsevier, vol. 114(1), pages 178-195.
  130. Chiranjit Dutta & Kara Karpman & Sumanta Basu & Nalini Ravishanker, 2023. "Review of Statistical Approaches for Modeling High-Frequency Trading Data," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 1-48, May.
  131. Henryk Gurgul & Robert Syrek, 2016. "The logarithmic ACD model: The microstructure of the German and Polish stock markets," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 17(1), pages 77-92.
  132. Zhang, Xiaotao & Wang, Ziqiao & Hao, Jing & He, Feng, 2022. "Price limit and stock market quality: Evidence from a quasi-natural experiment in the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
  133. Yildiz, Serhat & Van Ness, Bonnie & Van Ness, Robert, 2020. "VPIN, liquidity, and return volatility in the U.S. equity markets," Global Finance Journal, Elsevier, vol. 45(C).
  134. P. B. Lerner, 2020. "Dual State-Space Model of Market Liquidity: The Chinese Experience 2009-2010," Papers 2004.06200, arXiv.org, revised May 2020.
  135. Jurkatis, Simon, 2020. "Inferring trade directions in fast markets," Bank of England working papers 896, Bank of England.
  136. 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).
  137. Petchey, James & Wee, Marvin & Yang, Joey, 2016. "Pinning down an effective measure for probability of informed trading," Pacific-Basin Finance Journal, Elsevier, vol. 40(PB), pages 456-475.
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