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Jonathan Brogaard

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Jonathan Brogaard & Corey Garriott & Anna Pomeranets, 2014. "High-Frequency Trading Competition," Staff Working Papers 14-19, Bank of Canada.

    Cited by:

    1. Matthew Baron & Björn Hagströmer & Andrei Kirilenko, 2017. "Risk and Return in High-Frequency Trading," GRU Working Paper Series GRU_2017_018, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    2. Michael Brolley & David A. Cimon, 2018. "Order Flow Segmentation, Liquidity and Price Discovery: The Role of Latency Delays," Staff Working Papers 18-16, Bank of Canada.
    3. Brogaard, Jonathan & Hendershott, Terrence & Riordan, Ryan, 2017. "High frequency trading and the 2008 short-sale ban," Journal of Financial Economics, Elsevier, vol. 124(1), pages 22-42.
    4. Oliver Linton & Soheil Mahmoodzadeh, 2018. "Implications of high-frequency trading for security markets," CeMMAP working papers CWP06/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Breckenfelder, Johannes, 2019. "Competition among high-frequency traders, and market quality," Working Paper Series 2290, European Central Bank.
    6. Marie Chen & Corey Garriott, 2018. "High-Frequency Trading and Institutional Trading Costs," Staff Working Papers 18-8, Bank of Canada.
    7. Morten Linnemann Bech & Anamaria Illes & Ulf Lewrick & Andreas Schrimpf, 2016. "Hanging up the phone - electronic trading in fixed income markets and its implications," BIS Quarterly Review, Bank for International Settlements, March.
    8. 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.
    9. Fabrice Rousseau & Herve Boco & Laurent Germain, 2020. "High Frequency Trading: Strategic Competition Between Slow and Fast Traders," Economics, Finance and Accounting Department Working Paper Series n296-20.pdf, Department of Economics, Finance and Accounting, National University of Ireland - Maynooth.
    10. Tobias Adrian & Agostino Capponi & Michael J. Fleming & Erik Vogt & Hongzhong Zhang, 2016. "Intraday market making with overnight inventory costs," Staff Reports 799, Federal Reserve Bank of New York.
    11. 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.
    12. Кравчук, Ігор Святославович, 2018. "Сучасні тенденції електронної торгівлі обіговими фінансовими інструментами // Modern trends of electronic trading by negotiable financial instruments," Вісник Житомирського державного технологічного університету. Серія: Економічні науки // THE JOURNAL OF ZHYTOMYR STATE TECHNOLOGICAL UNIVERSITY. SERIES: ECONOMICS, Житомирський державний технологічний університет // ZHYTOMYR STATE TECHNOLOGICAL UNIVERSITY, vol. 83(1).
    13. Benes, Evangelos & Brugler, James & Hjalmarsson, Erik & Zikes, Filip, 2016. "Interactions among High-Frequency Traders," Working Papers in Economics 680, University of Gothenburg, Department of Economics.
    14. Tomy Lee, 2019. "Latency in Fragmented Markets," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 33, pages 128-153, July.

  2. Brogaard, Jonathan & Hendershott, Terrence & Riordan, Ryan, 2013. "High frequency trading and price discovery," Working Paper Series 1602, European Central Bank.

    Cited by:

    1. Huszár, Zsuzsa R. & Tan, Ruth S.K. & Zhang, Weina, 2017. "Do short sellers exploit industry information?," Journal of Empirical Finance, Elsevier, vol. 41(C), pages 118-139.
    2. Sun, Yuxin & Ibikunle, Gbenga, 2017. "Informed trading and the price impact of block trades: A high frequency trading analysis," International Review of Financial Analysis, Elsevier, vol. 54(C), pages 114-129.
    3. 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.
    4. Matthew Baron & Björn Hagströmer & Andrei Kirilenko, 2017. "Risk and Return in High-Frequency Trading," GRU Working Paper Series GRU_2017_018, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    5. Bruno Biais & Fany Declerck & Sophie Moinas, 2016. "Who supplies liquidity, how and when?," BIS Working Papers 563, Bank for International Settlements.
    6. Reza Bradrania & Andrew Grant & Peter Joakim Westerholm & Wei Wu, 2017. "Fool's mate: What does CHESS tell us about individual investor trading performance?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(4), pages 981-1017, December.
    7. Bastian von Beschwitz & Donald B Keim & Massimo Massa, 2020. "First to “Read†the News: News Analytics and Algorithmic Trading," Review of Asset Pricing Studies, Oxford University Press, vol. 10(1), pages 122-178.
    8. Ye, Cheng & Qiu, Yanjun & Lu, Guohao & Hou, Yawen, 2018. "Quantitative strategy for the Chinese commodity futures market based on a dynamic weighted money flow model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1009-1018.
    9. Marouane Anane & Frédéric Abergel, 2014. "Optimal high frequency strategy in an omniscient order book," Working Papers hal-01006401, HAL.
    10. Cespa, Giovanni & Vives, Xavier, 2017. "High Frequency Trading and Fragility," IESE Research Papers D/1161, IESE Business School.
    11. Michael Brolley & David A. Cimon, 2018. "Order Flow Segmentation, Liquidity and Price Discovery: The Role of Latency Delays," Staff Working Papers 18-16, Bank of Canada.
    12. Brogaard, Jonathan & Hendershott, Terrence & Riordan, Ryan, 2017. "High frequency trading and the 2008 short-sale ban," Journal of Financial Economics, Elsevier, vol. 124(1), pages 22-42.
    13. Kusumah, Echo Perdana, 2018. "Trading Channel Pattern of Cassava Commodity: Double Roles for the Farmers – Is It a Benefit?," MPRA Paper 88245, University Library of Munich, Germany.
    14. 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".
    15. Zhifeng Cai, 2020. "Dynamic information acquisition and time-varying uncertainty," Departmental Working Papers 202002, Rutgers University, Department of Economics.
    16. Clark-Joseph, Adam D. & Ye, Mao & Zi, Chao, 2017. "Designated market makers still matter: Evidence from two natural experiments," Journal of Financial Economics, Elsevier, vol. 126(3), pages 652-667.
    17. Vincent Van Kervel & Albert J. Menkveld, 2019. "High‐Frequency Trading around Large Institutional Orders," Journal of Finance, American Finance Association, vol. 74(3), pages 1091-1137, June.
    18. Matthew Clegg & Christopher Krauss, 2018. "Pairs trading with partial cointegration," Quantitative Finance, Taylor & Francis Journals, vol. 18(1), pages 121-138, January.
    19. Jagannathan, Ravi & Pelizzon, Loriana & Schaumburg, Ernst & Getmansky, Mila & Yuferova, Darya, 2019. "Liquidity Provision: Normal Times vs Crashes," SAFE Working Paper Series 227, Leibniz Institute for Financial Research SAFE.
    20. Oliver Linton & Soheil Mahmoodzadeh, 2018. "Implications of high-frequency trading for security markets," CeMMAP working papers CWP06/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    21. Chiarucci, Riccardo & Loffredo, Maria I. & Ruzzenenti, Franco, 2017. "Evidences for a structural change in the oil market before a financial crisis: The flat horizon effect," Research in International Business and Finance, Elsevier, vol. 42(C), pages 912-921.
    22. Benos, Evangelos & Sagade, Satchit, 2016. "Price discovery and the cross-section of high-frequency trading," Journal of Financial Markets, Elsevier, vol. 30(C), pages 54-77.
    23. Rhys ap Gwilym & M. Shahid Ebrahim & Abdelkader O. El Alaoui & Hamid Rahman & Abderrahim Taamouti, 2019. "Financial Frictions and the Futures Pricing Puzzle," Working Papers 2019_07, Durham University Business School.
    24. Robert Garrison & Pankaj Jain & Mark Paddrik, 2019. "Cross-Asset Market Order Flow, Liquidity, and Price Discovery," Working Papers 19-04, Office of Financial Research, US Department of the Treasury.
    25. Manahov, Viktor, 2016. "A note on the relationship between high-frequency trading and latency arbitrage," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 281-296.
    26. 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.
    27. Carole Gresse, 2017. "Effects of Lit and Dark Market Fragmentation on Liquidity," Post-Print hal-01631771, HAL.
    28. Lepone, Andrew & Wen, Jun & Yang, Jin Young, 2018. "Message traffic restrictions and relative pricing efficiency: Evidence from index futures contracts and exchange-traded funds," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 366-375.
    29. 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.
    30. 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.
    31. FOUCAULT, Thierry & DUGAST, Jérôme, 2014. "False News, Informational Efficiency, and Price Reversals," HEC Research Papers Series 1036, HEC Paris.
    32. Alexandru-Ioan Stan, 2018. "Computational speed and high-frequency trading profitability: an ecological perspective," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(3), pages 381-395, August.
    33. 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.
    34. Mahmoodzadeh, Soheil & Gençay, Ramazan, 2017. "Human vs. high-frequency traders, penny jumping, and tick size," Journal of Banking & Finance, Elsevier, vol. 85(C), pages 69-82.
    35. Robert J. Kauffman & Yuzhou Hu & Dan Ma, 2015. "Will high-frequency trading practices transform the financial markets in the Asia Pacific Region?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 1(1), pages 1-27, December.
    36. Marcello Rambaldi & Emmanuel Bacry & Jean-Franc{c}ois Muzy, 2018. "Disentangling and quantifying market participant volatility contributions," Papers 1807.07036, arXiv.org.
    37. Auer, Benjamin R. & Rottmann, Horst, 2018. "Have capital market anomalies worldwide attenuated in the recent era of high liquidity and trading activity?," Weidener Diskussionspapiere 64, University of Applied Sciences Amberg-Weiden (OTH).
    38. Taiga Saito & Takanori Adachi & Teruo Nakatsuma & Akihiko Takahashi & Hiroshi Tsuda & Naoyuki Yoshino, 2017. "Trading and Ordering Patterns of Market Participants in High Frequency Trading Environment--Empirical Study in the Japanese Stock Market--," CIRJE F-Series CIRJE-F-1052, CIRJE, Faculty of Economics, University of Tokyo.
    39. 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.
    40. Austin Gerig & David Michayluk, 2014. "Automated Liquidity Provision," Research Paper Series 345, Quantitative Finance Research Centre, University of Technology, Sydney.
    41. Jonathan Brogaard & Corey Garriott & Anna Pomeranets, 2014. "High-Frequency Trading Competition," Staff Working Papers 14-19, Bank of Canada.
    42. Kaj Nyström & Sidi Mohamed Ould Aly & Changyong Zhang, 2014. "Market Making And Portfolio Liquidation Under Uncertainty," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 17(05), pages 1-33.
    43. Nidhi Aggarwal & Susan Thomas, 2011. "When do stock futures dominate price discovery," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2011-016, Indira Gandhi Institute of Development Research, Mumbai, India.
    44. Foucault , Thierry & Kozhan , Roman, 2014. "Toxic Arbitrage," HEC Research Papers Series 1040, HEC Paris.
    45. Moinas, Sophie & Nguyen, Minh & Valente, Giorgio, 2017. "Funding Constraints and Market Illiquidity in the European Treasury Bond Market," TSE Working Papers 17-814, Toulouse School of Economics (TSE).
    46. 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.
    47. 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.
    48. 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.
    49. Nidhi Aggarwal & Venkatesh Panchapagesan & Susan Thomas, 2019. "When do regulatory interventions work?," Working Papers id:13040, eSocialSciences.
    50. Jing Nie, 2019. "High‐Frequency Price Discovery and Price Efficiency on Interest Rate Futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(11), pages 1394-1434, November.
    51. Samuel Showalter & Jeffrey Gropp, 2019. "Validating Weak-form Market Efficiency in United States Stock Markets with Trend Deterministic Price Data and Machine Learning," Papers 1909.05151, arXiv.org.
    52. Veryzhenko, Iryna & Harb, Etienne & Louhichi, Waël & Oriol, Nathalie, 2017. "The impact of the French financial transaction tax on HFT activities and market quality," Economic Modelling, Elsevier, vol. 67(C), pages 307-315.
    53. Seddon, Jonathan J.J.M. & Currie, Wendy L., 2017. "A model for unpacking big data analytics in high-frequency trading," Journal of Business Research, Elsevier, vol. 70(C), pages 300-307.
    54. Alexis Stenfors & Masayuki Susai, 2017. "Liquidity Withdrawal in the FX Spot Market: A Cross-Country Study Using High-Frequency Data," Working Papers in Economics & Finance 2017-06, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    55. Zhou, Hao & Elliott, Robert J. & Kalev, Petko S., 2019. "Information or noise: What does algorithmic trading incorporate into the stock prices?," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 27-39.
    56. Linnenluecke, Martina K. & Chen, Xiaoyan & Ling, Xin & Smith, Tom & Zhu, Yushu, 2017. "Research in finance: A review of influential publications and a research agenda," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 188-199.
    57. 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.
    58. Marco Di Maggio & Francesco Franzoni & Amir Kermani & Carlo Sommavilla, 2017. "The Relevance of Broker Networks for Information Diffusion in the Stock Market," NBER Working Papers 23522, National Bureau of Economic Research, Inc.
    59. Guanqing Liu, 2019. "Technical Trading Behaviour: Evidence from Chinese Rebar Futures Market," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 669-704, August.
    60. Marie Chen & Corey Garriott, 2018. "High-Frequency Trading and Institutional Trading Costs," Staff Working Papers 18-8, Bank of Canada.
    61. Frino, Alex & Mollica, Vito & Webb, Robert I. & Zhang, Shunquan, 2017. "The impact of latency sensitive trading on high frequency arbitrage opportunities," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 91-102.
    62. Uctum, Remzi & Renou-Maissant, Patricia & Prat, Georges & Lecarpentier-Moyal, Sylvie, 2017. "Persistence of announcement effects on the intraday volatility of stock returns: Evidence from individual data," Review of Financial Economics, Elsevier, vol. 35(C), pages 43-56.
    63. Cespa, Giovanni & Vives, Xavier, 2018. "Exchange Competition, Entry, and Welfare," CEPR Discussion Papers 13415, C.E.P.R. Discussion Papers.
    64. Roşu, Ioanid, 2019. "Fast and slow informed trading," Journal of Financial Markets, Elsevier, vol. 43(C), pages 1-30.
    65. Rene Carmona & Kevin Webster, 2017. "The microstructure of high frequency markets," Papers 1709.02015, arXiv.org.
    66. S. Sarah Zhang, 2018. "Need for speed: Hard information processing in a high‐frequency world," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(1), pages 3-21, January.
    67. Foucault, Thierry & Moinas, Sophie, 2018. "Is Trading Fast Dangerous?," TSE Working Papers 18-881, Toulouse School of Economics (TSE).
    68. Damien Wallace & Petko S. Kalev & Guanhua Lian, 2019. "The evolution of price discovery in us equity and derivatives markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(9), pages 1122-1136, September.
    69. Dong, Xi & Feng, Shu & Ling, Leng & Song, Pingping, 2017. "Dynamic autocorrelation of intraday stock returns," Finance Research Letters, Elsevier, vol. 20(C), pages 274-280.
    70. Hoffmann, Peter, 2016. "Adverse selection, market access, and inter-market competition," Journal of Banking & Finance, Elsevier, vol. 65(C), pages 108-119.
    71. Degryse, H.A. & de Jong, F.C.J.M. & van Kervel, V.L., 2014. "The impact of dark trading and visible fragmentation on market quality," Other publications TiSEM a51b5d9e-2687-4972-930f-4, Tilburg University, School of Economics and Management.
    72. Justin Cox & Bonnie Van Ness & Robert Van Ness, 2019. "Increasing the Tick: Examining the Impact of the Tick Size Change on Maker‐Taker and Taker‐Maker Market Models," The Financial Review, Eastern Finance Association, vol. 54(3), pages 417-449, August.
    73. Cheng Gao & Bruce Mizrach, 2013. "Market Quality Breakdowns in Equities," Departmental Working Papers 201318, Rutgers University, Department of Economics.
    74. Bernales, Alejandro, 2019. "Make-take decisions under high-frequency trading competition," Journal of Financial Markets, Elsevier, vol. 45(C), pages 1-18.
    75. Clegg, Matthew & Krauss, Christopher, 2016. "Pairs trading with partial cointegration," FAU Discussion Papers in Economics 05/2016, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    76. Chiarella, Carl & Ladley, Daniel, 2016. "Chasing trends at the micro-level: The effect of technical trading on order book dynamics," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 119-131.
    77. Kwan, Amy & Masulis, Ronald & McInish, Thomas H., 2015. "Trading rules, competition for order flow and market fragmentation," Journal of Financial Economics, Elsevier, vol. 115(2), pages 330-348.
    78. Hans Degryse & Rudy de Winne & Carole Gresse & Richard Payne, 2018. "High frequency trading and ghost liquidity," Post-Print hal-01894838, HAL.
    79. Renneboog, Luc & Goergen, M. & Zhao, Y., 2018. "Insider Trading and Networked Directors," Other publications TiSEM c435e408-7658-4e25-bf8e-0, Tilburg University, School of Economics and Management.
    80. Giovanni Cespa & Xavier Vives, 2016. "Market Transparency and Fragility," CESifo Working Paper Series 6279, CESifo.
    81. Gresse, Carole, 2017. "Effects of lit and dark market fragmentation on liquidity," Journal of Financial Markets, Elsevier, vol. 35(C), pages 1-20.
    82. 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.
    83. O’Hara, Maureen, 2015. "High frequency market microstructure," Journal of Financial Economics, Elsevier, vol. 116(2), pages 257-270.
    84. Corbet, Shaen & McMullan, Caroline, 2018. "Stock market reaction to irregular supermarket chain behaviour: An investigation in the retail sectors of Ireland and the United Kingdom," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 20-29.
    85. Vitale, Paolo, 2018. "Robust trading for ambiguity-averse insiders," Journal of Banking & Finance, Elsevier, vol. 90(C), pages 113-130.
    86. Johnson, Hardy & Van Ness, Bonnie F. & Van Ness, Robert A., 2017. "Are all odd-lots the same? Odd-lot transactions by order submission and trader type," Journal of Banking & Finance, Elsevier, vol. 79(C), pages 1-11.
    87. Fangjian Fu & Sheng Huang, 2016. "The Persistence of Long-Run Abnormal Returns Following Stock Repurchases and Offerings," Management Science, INFORMS, vol. 62(4), pages 964-984, April.
    88. Michael Brolley & Marius Zoican, 2019. "Liquid Speed: On-Demand Fast Trading at Distributed Exchanges," Papers 1907.10720, arXiv.org.
    89. Dimitrios Vezeris & Themistoklis Kyrgos & Christos Schinas, 2018. "Take Profit and Stop Loss Trading Strategies Comparison in Combination with an MACD Trading System," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 11(3), pages 1-23, September.
    90. Comerton-Forde, Carole & Jones, Charles M. & Putniņš, Tālis J., 2016. "Shorting at close range: A tale of two types," Journal of Financial Economics, Elsevier, vol. 121(3), pages 546-568.
    91. Frino, Alex & Prodromou, Tina & Wang, George H.K. & Westerholm, P. Joakim & Zheng, Hui, 2017. "An empirical analysis of algorithmic trading around earnings announcements," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 34-51.
    92. Marc Bohmann, 2020. "Price Discovery and Information Asymmetry in Equity and Commodity Futures Options Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2020, September.
    93. 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.
    94. Hautsch, Nikolaus & Noé, Michael & Zhang, S. Sarah, 2017. "The ambivalent role of high-frequency trading in turbulent market periods," CFS Working Paper Series 580, Center for Financial Studies (CFS).
    95. Rene Carmona & Kevin Webster, 2013. "The Self-Financing Equation in High Frequency Markets," Papers 1312.2302, arXiv.org.
    96. Stanislav Anatolyev & Sergei Seleznev & Veronika Selezneva, 2019. "Does Index Arbitrage Distort the Market Reaction to Shocks?," CERGE-EI Working Papers wp651, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    97. Delaney, L., 2016. "Equilibrium Investment in High Frequency Trading Technology: A Real Options Approach," Working Papers 15/14, Department of Economics, City University London.
    98. Aitken, Michael & Cumming, Douglas & Zhan, Feng, 2013. "High frequency trading and end-of-day price dislocation," CFS Working Paper Series 2013/16, Center for Financial Studies (CFS).
    99. Yan Chen & Peter Cramton & John A. List & Axel Ockenfels, 2020. "Market Design, Human Behavior, and Management," NBER Working Papers 26873, National Bureau of Economic Research, Inc.
    100. Fabrice Rousseau & Herve Boco & Laurent Germain, 2020. "High Frequency Trading: Strategic Competition Between Slow and Fast Traders," Economics, Finance and Accounting Department Working Paper Series n296-20.pdf, Department of Economics, Finance and Accounting, National University of Ireland - Maynooth.
    101. Brewer, Paul & Ratan, Anmol, 2019. "Profitability, efficiency, and inequality in double auction markets with snipers," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 486-499.
    102. Chakrabarty, Bidisha & Moulton, Pamela C. & Pascual, Roberto, 2017. "Trading system upgrades and short-sale bans: Uncoupling the effects of technology and regulation," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 74-90.
    103. March, Christoph, 2019. "The behavioral economics of artificial intelligence: Lessons from experiments with computer players," BERG Working Paper Series 154, Bamberg University, Bamberg Economic Research Group.
    104. Francis Breedon & Louisa Chen & Angelo Ranaldo & Nicholas Vause, 2018. "Judgement Day: Algorithmic Trading Around the Swiss Franc Cap Removal," Working Papers on Finance 1808, University of St. Gallen, School of Finance.
    105. Ravi Kashyap, 2019. "Imitation in the Imitation Game," Papers 1911.06893, arXiv.org.
    106. Philip, R., 2020. "Estimating permanent price impact via machine learning," Journal of Econometrics, Elsevier, vol. 215(2), pages 414-449.
    107. Cécile Bastidon, 2017. "Stock markets fragmentation, volatility and final investors," Annals of Finance, Springer, vol. 13(4), pages 435-451, November.
    108. Radu BORES, Author-Workplace-Name : Stefan cel Mare University of Suceava, 720229, Romania & Ana-Maria HLACIUC Author-Workplace-Name : Stefan cel Mare University of Suceava, 720229, Romania, 2016. "New Technologies And Infrastructures Of Financial Services," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 5(Special I), pages 1-25, august.
    109. Clapham, Benjamin & Gomber, Peter & Haferkorn, Martin & Panz, Sven, 2017. "Managing excess volatility: Design and effectiveness of circuit breakers," SAFE Working Paper Series 195, Leibniz Institute for Financial Research SAFE.
    110. Cartea, Álvaro & Payne, Richard & Penalva, José & Tapia, Mikel, 2019. "Ultra-fast activity and intraday market quality," Journal of Banking & Finance, Elsevier, vol. 99(C), pages 157-181.
    111. Alexander M. Chinco & Adam D. Clark-Joseph & Mao Ye, 2017. "Sparse Signals in the Cross-Section of Returns," NBER Working Papers 23933, National Bureau of Economic Research, Inc.
    112. Michael J. Aitken & Angelo Aspris & Sean Foley & Frederick H. de B. Harris, 2018. "Market Fairness: The Poor Country Cousin of Market Efficiency," Journal of Business Ethics, Springer, vol. 147(1), pages 5-23, January.
    113. Aldrich, Eric M. & Heckenbach, Indra & Laughlin, Gregory, 2016. "A compound duration model for high-frequency asset returns," Journal of Empirical Finance, Elsevier, vol. 39(PA), pages 105-128.
    114. Carrion, Allen, 2013. "Very fast money: High-frequency trading on the NASDAQ," Journal of Financial Markets, Elsevier, vol. 16(4), pages 680-711.
    115. Duong, Huu Nhan & Lajbcygier, Paul & Vu, Van Hoang, 2017. "The information content of special orders," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 68-81.
    116. Hossein Rad & Rand Kwong Yew Low & Robert Faff, 2016. "The profitability of pairs trading strategies: distance, cointegration and copula methods," Quantitative Finance, Taylor & Francis Journals, vol. 16(10), pages 1541-1558, October.
    117. Minkwan Ahn & Michael Drake & Hangsoo Kyung & Han Stice, 2019. "The role of the business press in the pricing of analysts’ recommendation revisions," Review of Accounting Studies, Springer, vol. 24(1), pages 341-392, March.
    118. Gider, Jasmin & Schmickler, Simon & Westheide, Christian, 2019. "High-frequency trading and price informativeness," SAFE Working Paper Series 248, Leibniz Institute for Financial Research SAFE.
    119. Park, Seongkyu Gilbert & Ryu, Doojin, 2019. "Speed and trading behavior in an order-driven market," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 145-164.
    120. Ramos, Henrique P. & Perlin, Marcelo S. & Righi, Marcelo B., 2017. "Mispricing in the odd lots market in Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 618-628.
    121. Tobias Adrian & Agostino Capponi & Michael J. Fleming & Erik Vogt & Hongzhong Zhang, 2016. "Intraday market making with overnight inventory costs," Staff Reports 799, Federal Reserve Bank of New York.
    122. Lien, Donald & Hung, Pi-Hsia & Lin, Zong-Wei, 2020. "Whose trades move stock prices? Evidence from the Taiwan Stock Exchange," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 25-50.
    123. Hautsch, Nikolaus & Scheuch, Christoph & Voigt, Stefan, 2018. "Limits to arbitrage in markets with stochastic settlement latency," CFS Working Paper Series 616, Center for Financial Studies (CFS).
    124. Haoxiang Zhu & Bart Yueshen & Albert Menkveld, 2015. "Shades of Darkness: A Pecking Order of Trading Venues," 2015 Meeting Papers 1164, Society for Economic Dynamics.
    125. Donald B. Keim & Massimo Massa & Bastian von Beschwitz, 2018. "First to "Read" the News: New Analytics and Algorithmic Trading," International Finance Discussion Papers 1233, Board of Governors of the Federal Reserve System (U.S.).
    126. Ibikunle, Gbenga, 2018. "Trading places: Price leadership and the competition for order flow," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 178-200.
    127. Marlene Haas & Marius Andrei Zoican, 2016. "Beyond the Frequency Wall: Speed and Liquidity on Batch Auction Markets," Post-Print hal-01484805, HAL.
    128. Claudio Fontana & Markus Pelger & Eckhard Platen, 2017. "Sure Profits via Flash Strategies and the Impossibility of Predictable Jumps," Research Paper Series 385, Quantitative Finance Research Centre, University of Technology, Sydney.
    129. Cai, Zhifeng, 2019. "Dynamic information acquisition and time-varying uncertainty," Journal of Economic Theory, Elsevier, vol. 184(C).
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    131. Friederich, Sylvain & Payne, Richard, 2015. "Order-to-trade ratios and market liquidity," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 214-223.
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    133. Keiichi Goshima & Yusuke Kumano, 2018. "Monetary Policy Announcement and Algorithmic News Trading in the Foreign Exchange Market," IMES Discussion Paper Series 18-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
    134. 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.
    135. Angerer, Martin & Neugebauer, Tibor & Shachat, Jason, 2019. "Arbitrage bots in experimental asset markets," MPRA Paper 96224, University Library of Munich, Germany.
    136. Conrad, Jennifer & Wahal, Sunil, 2020. "The term structure of liquidity provision," Journal of Financial Economics, Elsevier, vol. 136(1), pages 239-259.
    137. Johannes Stübinger & Jens Bredthauer, 2017. "Statistical Arbitrage Pairs Trading with High-frequency Data," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 650-662.
    138. Corey Garriot & Ryan Riordan, 2020. "Trading on Long-term Information," Staff Working Papers 20-20, Bank of Canada.
    139. 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.
    140. So, Eric C. & Wang, Sean, 2014. "News-driven return reversals: Liquidity provision ahead of earnings announcements," Journal of Financial Economics, Elsevier, vol. 114(1), pages 20-35.
    141. Gunther Capelle-Blancard, 2017. "À quoi servent les (centaines de milliers de milliards de) transactions boursières ?," Revue d'économie financière, Association d'économie financière, vol. 0(3), pages 37-58.
    142. Claudio Fontana & Markus Pelger & Eckhard Platen, 2017. "On the existence of sure profits via flash strategies," Papers 1708.03099, arXiv.org, revised Jul 2019.
    143. Juraj Hruška, 2016. "Aggressive and Defensive High‑Frequency Trading and its Impact on Liquidity of German Stock Market," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 64(6), pages 1911-1918.
    144. Dodd, Olga & Frijns, Bart, 2018. "NYSE closure and global equity trading: The case of cross-listed stocks," International Review of Financial Analysis, Elsevier, vol. 60(C), pages 138-150.
    145. Carole Gresse, 2011. "Effects of Lit and Dark Market Fragmentation on Liquidity," Post-Print halshs-00641122, HAL.
    146. Taiga Saito & Akihiko Takahashi, 2018. "Online Supplement for "Stochastic Differential Game in High Frequency Market"," CIRJE F-Series CIRJE-F-1087, CIRJE, Faculty of Economics, University of Tokyo.
    147. Kasinger, Johannes & Pelizzon, Loriana, 2018. "Financial stability in the EU: A case for micro data transparency," SAFE Policy Letters 67, Leibniz Institute for Financial Research SAFE.
    148. Purba Mukerji & Christine Chung & Timothy Walsh & Bo Xiong, 2019. "The Impact of Algorithmic Trading in a Simulated Asset Market," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 12(2), pages 1-11, April.
    149. Mestel, Roland & Murg, Michael & Theissen, Erik, 2018. "Algorithmic trading and liquidity: Long term evidence from Austria," Finance Research Letters, Elsevier, vol. 26(C), pages 198-203.
    150. Duong, Huu Nhan & Lajbcygier, Paul & Lu, Jerry Shuai & Vu, Van Hoang, 2018. "The effect of anonymity on price efficiency: Evidence from the removal of broker identities," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 95-107.
    151. Alain P. Chaboud & Erik Hjalmarsson & Filip Zikes, 2020. "The Evolution of Price Discovery in an Electronic Market," Finance and Economics Discussion Series 2020-051, Board of Governors of the Federal Reserve System (U.S.).
    152. Alexis Stenfors & Masayuki Susai, 2018. "Spoofing and Pinging in Foreign Exchange Markets," Working Papers in Economics & Finance 2018-05, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    153. Fry, John & Serbera, Jean-Philippe, 2017. "Modelling and mitigation of Flash Crashes," MPRA Paper 82457, University Library of Munich, Germany.
    154. 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.
    155. Van Vliet, Ben, 2017. "Capability satisficing in high frequency trading," Research in International Business and Finance, Elsevier, vol. 42(C), pages 509-521.
    156. 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.
    157. Rzayev, Khaladdin & Ibikunle, Gbenga, 2019. "A state-space modeling of the information content of trading volume," Journal of Financial Markets, Elsevier, vol. 46(C).
    158. Gunther Capelle-Blancard, 2018. "What is the Point of (the Hundreds of Thousands of Billions of) Stock Transactions?," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(1), pages 15-33, March.
    159. Thanh Huong Nguyen, 2019. "Information and Noise in Stock Markets: Evidence on the Determinants and Effects Using New Empirical Measures," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 7-2019, September.
    160. Chen, Wei-Peng & Chung, Huimin & Lien, Donald, 2016. "Price discovery in the S&P 500 index derivatives markets," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 438-452.
    161. Das, Sougata & Kadapakkam, Palani-Rajan, 2020. "Machine over Mind? Stock price clustering in the era of algorithmic trading," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    162. 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.
    163. Dai, Chaoxing & Lu, Kun & Xiu, Dacheng, 2019. "Knowing factors or factor loadings, or neither? Evaluating estimators of large covariance matrices with noisy and asynchronous data," Journal of Econometrics, Elsevier, vol. 208(1), pages 43-79.
    164. Delaney, L., 2015. "An Examination of the Optimal Timing Strategy for a Slow Trader Investing in a High Frequency Trading Technology," Working Papers 15/04, Department of Economics, City University London.
    165. Nikolaus Hautsch & Christoph Scheuch & Stefan Voigt, 2018. "Building Trust Takes Time: Limits to Arbitrage in Blockchain-Based Markets," Papers 1812.00595, arXiv.org, revised Mar 2020.
    166. Delaney, Laura, 2018. "Investment in high-frequency trading technology: A real options approach," European Journal of Operational Research, Elsevier, vol. 270(1), pages 375-385.
    167. Bogoev, Dimitar & Karam, Arzé, 2017. "Detection of algorithmic trading," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 168-181.
    168. Alexander M. Chinco & Mao Ye, 2017. "Investment-Horizon Spillovers," NBER Working Papers 23650, National Bureau of Economic Research, Inc.
    169. Buti, Sabrina & Consonni, Francesco & Rindi, Barbara & Werner, Ingrid M., 2013. "Sub-Penny and Queue-Jumping," Working Paper Series 2013-18, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    170. Daniel Ladley, 2019. "The Design and Regulation of High Frequency Traders," Discussion Papers in Economics 19/02, Division of Economics, School of Business, University of Leicester.
    171. Orlov, Vitaly, 2016. "Currency momentum, carry trade, and market illiquidity," Journal of Banking & Finance, Elsevier, vol. 67(C), pages 1-11.
    172. 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.
    173. Mariana Khapko & Marius Zoican, 2019. "Do speed bumps curb low-latency trading? Evidence from a laboratory market," Papers 1910.03068, arXiv.org.
    174. Ikizlerli, Deniz & Holmes, Phil & Anderson, Keith, 2019. "The response of different investor types to macroeconomic news," Journal of Multinational Financial Management, Elsevier, vol. 50(C), pages 13-28.
    175. 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, September.
    176. Aït-Sahalia, Yacine & Brunetti, Celso, 2020. "High frequency traders and the price process," Journal of Econometrics, Elsevier, vol. 217(1), pages 20-45.
    177. Eric M. Aldrich & Kristian López Vargas, 2020. "Experiments in high-frequency trading: comparing two market institutions," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 322-352, June.
    178. Bogdan Dragos & Inigo Wilkins, 2014. "An ecological/evolutionary perspective on high-frequency trading," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 4(2), pages 161-175, April.
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    181. Declerck, F., 2016. "High-frequency trading, geographical concerns and the curvature of the Earth," Financial Stability Review, Banque de France, issue 20, pages 153-160, April.
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Articles

  1. Jonathan Brogaard & Terrence Hendershott & Ryan Riordan, 2019. "Price Discovery without Trading: Evidence from Limit Orders," Journal of Finance, American Finance Association, vol. 74(4), pages 1621-1658, August.

    Cited by:

    1. Bellia, Mario & Christensen, Kim & Kolokolov, Aleksey & Pelizzon, Loriana & Renò, Roberto, 2020. "High-frequency trading during flash crashes: Walk of fame or hall of shame?," SAFE Working Paper Series 270, Leibniz Institute for Financial Research SAFE.
    2. Robert Garrison & Pankaj Jain & Mark Paddrik, 2019. "Cross-Asset Market Order Flow, Liquidity, and Price Discovery," Working Papers 19-04, Office of Financial Research, US Department of the Treasury.
    3. Roberto Riccò & Barbara Rindi & Duane J. Seppi, 2020. "Information, Liquidity, and Dynamic Limit Order Markets," Working Papers 660, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    4. Comerton-Forde, Carole & Grégoire, Vincent & Zhong, Zhuo, 2019. "Inverted fee structures, tick size, and market quality," Journal of Financial Economics, Elsevier, vol. 134(1), pages 141-164.
    5. Sudhanshu Pani, 2020. "A Theory of 'Auction as a Search' in speculative markets," Papers 2006.00775, arXiv.org.
    6. Patel, Vinay & Putniņš, Tālis J. & Michayluk, David & Foley, Sean, 2020. "Price discovery in stock and options markets," Journal of Financial Markets, Elsevier, vol. 47(C).
    7. 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.
    8. Philip, R., 2020. "Estimating permanent price impact via machine learning," Journal of Econometrics, Elsevier, vol. 215(2), pages 414-449.
    9. Lien, Donald & Hung, Pi-Hsia & Lin, Zong-Wei, 2020. "Whose trades move stock prices? Evidence from the Taiwan Stock Exchange," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 25-50.
    10. Corey Garriot & Ryan Riordan, 2020. "Trading on Long-term Information," Staff Working Papers 20-20, Bank of Canada.
    11. Yamamoto, Ryuichi, 2020. "Limit order submission risks, order choice, and tick size," Pacific-Basin Finance Journal, Elsevier, vol. 59(C).
    12. Aït-Sahalia, Yacine & Brunetti, Celso, 2020. "High frequency traders and the price process," Journal of Econometrics, Elsevier, vol. 217(1), pages 20-45.
    13. Mynbaev, Kairat, 2020. "Using full limit order book for price jump prediction," MPRA Paper 101684, University Library of Munich, Germany.

  2. Brogaard, Jonathan & Garriott, Corey, 2019. "High-Frequency Trading Competition," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(4), pages 1469-1497, August.
    See citations under working paper version above.
  3. Brogaard, Jonathan & Koski, Jennifer L. & Siegel, Andrew F., 2019. "Do upgrades matter? Evidence from trading volume," Journal of Financial Markets, Elsevier, vol. 43(C), pages 54-77.

    Cited by:

    1. Jun Zhang, 2019. "Is options trading informed? Evidence from credit rating change announcements," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(9), pages 1085-1106, September.
    2. Kim, Junwoo & Kim, Robert & Kim, Sangwan, 2020. "Does financial statement comparability mitigate delayed trading volume before earnings announcements?," Journal of Business Research, Elsevier, vol. 107(C), pages 62-75.

  4. Baron, Matthew & Brogaard, Jonathan & Hagströmer, Björn & Kirilenko, Andrei, 2019. "Risk and Return in High-Frequency Trading," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(3), pages 993-1024, June.

    Cited by:

    1. Bastian von Beschwitz & Donald B Keim & Massimo Massa, 2020. "First to “Read†the News: News Analytics and Algorithmic Trading," Review of Asset Pricing Studies, Oxford University Press, vol. 10(1), pages 122-178.
    2. Marie Chen & Corey Garriott, 2018. "High-Frequency Trading and Institutional Trading Costs," Staff Working Papers 18-8, Bank of Canada.
    3. Roşu, Ioanid, 2019. "Fast and slow informed trading," Journal of Financial Markets, Elsevier, vol. 43(C), pages 1-30.
    4. Michael Brolley & Marius Zoican, 2019. "Liquid Speed: On-Demand Fast Trading at Distributed Exchanges," Papers 1907.10720, arXiv.org.
    5. Aït-Sahalia, Yacine & Brunetti, Celso, 2020. "High frequency traders and the price process," Journal of Econometrics, Elsevier, vol. 217(1), pages 20-45.

  5. Jonathan Brogaard & Matthew C Ringgenberg & David Sovich, 2019. "The Economic Impact of Index Investing," Review of Financial Studies, Society for Financial Studies, vol. 32(9), pages 3461-3499.

    Cited by:

    1. Nguyen, Quynh Nga & Aboura, Sofiane & Chevallier, Julien & Zhang, Lyuyuan & Zhu, Bangzhu, 2020. "Local Gaussian correlations in financial and commodity markets," European Journal of Operational Research, Elsevier, vol. 285(1), pages 306-323.

  6. 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.

    Cited by:

    1. Bellia, Mario & Christensen, Kim & Kolokolov, Aleksey & Pelizzon, Loriana & Renò, Roberto, 2020. "High-frequency trading during flash crashes: Walk of fame or hall of shame?," SAFE Working Paper Series 270, Leibniz Institute for Financial Research SAFE.
    2. Jangkoo Kang & Kyung Yoon Kwon & Wooyeon Kim, 2020. "Flow toxicity of high‐frequency trading and its impact on price volatility: Evidence from the KOSPI 200 futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(2), pages 164-191, February.
    3. Sida Li & Xin Wang & Mao Ye, 2019. "Who Provides Liquidity, and When?," NBER Working Papers 25972, National Bureau of Economic Research, Inc.
    4. Francis Breedon & Louisa Chen & Angelo Ranaldo & Nicholas Vause, 2018. "Judgement Day: Algorithmic Trading Around the Swiss Franc Cap Removal," Working Papers on Finance 1808, University of St. Gallen, School of Finance.
    5. 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).
    6. Nathalie Oriol & Iryna Veryzhenko, 2019. "Market structure or traders' behavior? A multi agent model to assess flash crash phenomena and their regulation," Post-Print halshs-01984442, HAL.
    7. Francesco Cordoni & Fabrizio Lillo, 2020. "Instabilities in Multi-Asset and Multi-Agent Market Impact Games," Papers 2004.03546, arXiv.org, revised Jun 2020.
    8. Floris Laly & Mikael Petitjean, 2020. "Mini flash crashes: Review, taxonomy and policy responses," Bulletin of Economic Research, Wiley Blackwell, vol. 72(3), pages 251-271, July.
    9. Aït-Sahalia, Yacine & Brunetti, Celso, 2020. "High frequency traders and the price process," Journal of Econometrics, Elsevier, vol. 217(1), pages 20-45.

  7. Jonathan Brogaard & Joseph Engelberg & Edward Van Wesep, 2018. "Do Economists Swing for the Fences after Tenure?," Journal of Economic Perspectives, American Economic Association, vol. 32(1), pages 179-194, Winter.

    Cited by:

    1. Muhammad Asali, 2019. "A Tale of Two Tracks," Working Papers 004-19 JEL Codes: J21, J1, International School of Economics at TSU, Tbilisi, Republic of Georgia.
    2. Stremersch, S. & Winer, R.S., 2018. "Academic Research in Marketing and Business School Health," ERIM Report Series Research in Management 116485, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. van Dalen, Hendrik Peter, 2020. "How the Publish-or-Perish Principle Divides a Science : The Case of Academic Economists," Other publications TiSEM 6fbb6b92-0e06-4271-b6e7-3, Tilburg University, School of Economics and Management.
    4. Corsi, Marcella & D’Ippoliti, Carlo & Zacchia, Giulia, 2019. "Diversity of backgrounds and ideas: The case of research evaluation in economics," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    5. Stremersch, S. & Winer, R.S. & Camacho, N.M.A., 2020. "Faculty Research Incentives and Business School Health: A New Perspective for Marketing," ERIM Report Series Research in Management ERS-2020-007-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    6. João Ricardo Faria & Franklin G. Mixon, 2020. "The Peter and Dilbert Principles applied to academe," Economics of Governance, Springer, vol. 21(2), pages 115-132, June.
    7. Stremersch, S. & Winer, R.S., 2018. "Academic Research in Marketing and Business School Health: Limiters and Improvement Opportunities," ERIM Report Series Research in Management ERS-2019-007-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    8. Franklin G. Mixon, 2018. "Do academics swing for the fences after tenure? Analysis of attributions data from economics research," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 2155-2160, September.
    9. Asali, Muhammad, 2018. "A Tale of Two Academic Tracks," IZA Discussion Papers 11423, Institute of Labor Economics (IZA).
    10. van Dalen, Hendrik Peter, 2020. "How the Publish-or-Perish Principle Divides a Science : The Case of Academic Economists," Discussion Paper 2020-020, Tilburg University, Center for Economic Research.
    11. Rajeev K. Goel & Devrim Göktepe-Hultén, 2020. "Drivers of innovation productivity of academic researchers through career advancement," The Journal of Technology Transfer, Springer, vol. 45(2), pages 414-429, April.

  8. Kathryn L. Dewenter & Alan C. Hess & Jonathan Brogaard, 2018. "Institutions and Deposit Insurance: Empirical Evidence," Journal of Financial Services Research, Springer;Western Finance Association, vol. 54(3), pages 269-292, December.

    Cited by:

    1. Matteo, Gatti & Tommaso, Oliviero, 2019. "Deposit Insurance and Banks’ Deposit Rates: Evidence from the 2009 EU Policy Change," Working Papers 419, University of Milano-Bicocca, Department of Economics, revised 19 Aug 2019.
    2. Matteo Gatti & Tommaso Oliviero, 2019. "Deposit Insurance and Banks’ Deposit Rates: Evidence from the 2009 EU Policy," CSEF Working Papers 532, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    3. DenizAnginer & Ata CanBertay, 2019. "Deposit Insurance," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 17(01), pages 03-08, May.

  9. Brogaard, Jonathan & Li, Dan & Xia, Ying, 2017. "Stock liquidity and default risk," Journal of Financial Economics, Elsevier, vol. 124(3), pages 486-502.

    Cited by:

    1. Rao, Lanlan & Zhou, Liyun, 2019. "Crash risk, institutional investors and stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    2. Habibi Khalaj, Ali & Halgamuge, Saman K., 2017. "A Review on efficient thermal management of air- and liquid-cooled data centers: From chip to the cooling system," Applied Energy, Elsevier, vol. 205(C), pages 1165-1188.
    3. Ahmed, Shamim & Judge, Amrit & Mahmud, Syed Ehsan, 2018. "Does derivatives use reduce the cost of equity?," International Review of Financial Analysis, Elsevier, vol. 60(C), pages 1-16.
    4. Fu, Xi & Zhang, Zhifang, 2019. "CFO cultural background and stock price crash risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 74-93.
    5. Liyun Zhou & Chunpeng Yang, 2019. "Differences in the effects of seller-initiated versus buyer-initiated crowded trades in stock markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 859-890, December.
    6. Hyeongjun Kim & Hoon Cho & Doojin Ryu, 2020. "Corporate Default Predictions Using Machine Learning: Literature Review," Sustainability, MDPI, Open Access Journal, vol. 12(16), pages 1-11, August.
    7. Chia, Yee-Ee & Lim, Kian-Ping & Goh, Kim-Leng, 2020. "Liquidity and firm value in an emerging market: Nonlinearity, political connections and corporate ownership," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    8. Xiaoling Tan & Jichang Zhao, 2020. "The illiquidity network of stocks in China's market crash," Papers 2004.01917, arXiv.org.
    9. Ho, Kung-Cheng & Yen, Huang-Ping & Gu, Yan & Shi, Lisi, 2020. "Does societal trust make firms more trustworthy?," Emerging Markets Review, Elsevier, vol. 42(C).

  10. Brogaard, Jonathan & Hendershott, Terrence & Riordan, Ryan, 2017. "High frequency trading and the 2008 short-sale ban," Journal of Financial Economics, Elsevier, vol. 124(1), pages 22-42.

    Cited by:

    1. Hautsch, Nikolaus & Noé, Michael & Zhang, S. Sarah, 2017. "The ambivalent role of high-frequency trading in turbulent market periods," CFS Working Paper Series 580, Center for Financial Studies (CFS).
    2. Chakrabarty, Bidisha & Moulton, Pamela C. & Pascual, Roberto, 2017. "Trading system upgrades and short-sale bans: Uncoupling the effects of technology and regulation," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 74-90.
    3. Ravi Kashyap, 2019. "Imitation in the Imitation Game," Papers 1911.06893, arXiv.org.
    4. Mestel, Roland & Murg, Michael & Theissen, Erik, 2018. "Algorithmic trading and liquidity: Long term evidence from Austria," Finance Research Letters, Elsevier, vol. 26(C), pages 198-203.
    5. Aït-Sahalia, Yacine & Brunetti, Celso, 2020. "High frequency traders and the price process," Journal of Econometrics, Elsevier, vol. 217(1), pages 20-45.

  11. Jonathan Brogaard & Andrew Detzel, 2015. "The Asset-Pricing Implications of Government Economic Policy Uncertainty," Management Science, INFORMS, vol. 61(1), pages 3-18, January.

    Cited by:

    1. Duca, John V. & Saving, Jason L., 2018. "What drives economic policy uncertainty in the long and short runs: European and U.S. evidence over several decades," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 128-145.
    2. Andreas A. Papandreou, 2019. "Stranded assets and the financial system," Working Papers 272, Bank of Greece.
    3. François, Abel & Panel, Sophie & Weill, Laurent, 2020. "Educated dictators attract more foreign direct investment," Journal of Comparative Economics, Elsevier, vol. 48(1), pages 37-55.
    4. Syed Hassan & Sarosh Shabi & Taufiq Choudhry, 2018. "Asymmetry, Uncertainty and International Trade," Working Papers 2018-24, Swansea University, School of Management.
    5. Li, Xiao-Ming, 2017. "New evidence on economic policy uncertainty and equity premium," Pacific-Basin Finance Journal, Elsevier, vol. 46(PA), pages 41-56.
    6. Gungoraydinoglu, Ali & Çolak, Gönül & Öztekin, Özde, 2017. "Political environment, financial intermediation costs, and financing patterns," Journal of Corporate Finance, Elsevier, vol. 44(C), pages 167-192.
    7. Shahzad, Syed Jawad Hussain & Raza, Naveed & Balcilar, Mehmet & Ali, Sajid & Shahbaz, Muhammad, 2017. "Can economic policy uncertainty and investors sentiment predict commodities returns and volatility?," Resources Policy, Elsevier, vol. 53(C), pages 208-218.
    8. Tarek A. Hassan & Stephan Hollander & Laurence van Lent & Ahmed Tahoun, 2017. "Firm-Level Political Risk: Measurement and Effects," NBER Working Papers 24029, National Bureau of Economic Research, Inc.
    9. Augusto Carvalho & Bernardo Guimaraes, 2016. "State-controlled companies and political risk: Evidence from the 2014 Brazilian election," Discussion Papers 1702, Centre for Macroeconomics (CFM).
    10. Emmanuel Joel Aikins Abakah & Guglielmo Maria Caporale & Luis A. Gil-Alana, 2020. "Economic Policy Uncertainty: Persistence and Cross-Country Linkages," CESifo Working Paper Series 8289, CESifo.
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    Cited by:

    1. Matthew Baron & Björn Hagströmer & Andrei Kirilenko, 2017. "Risk and Return in High-Frequency Trading," GRU Working Paper Series GRU_2017_018, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
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    4. 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. Jagannathan, Ravi & Pelizzon, Loriana & Schaumburg, Ernst & Getmansky, Mila & Yuferova, Darya, 2019. "Liquidity Provision: Normal Times vs Crashes," SAFE Working Paper Series 227, Leibniz Institute for Financial Research SAFE.
    6. 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.
    7. Dees, S. & Gaiduchevici, G. & Grodzicki, M. & Gross, M. & Hilberg, B. & Maliszewski, K. & Rancoita, E. & Silva, R. & Testi, S. & Venditti, F. & Volk, M., 2016. "Macroprudential effects of systemic bank stress," Macroprudential Bulletin, European Central Bank, vol. 2.
    8. Clapham, Benjamin & Gomber, Peter & Panz, Sven, 2017. "Coordination of circuit breakers? Volume migration and volatility spillover in fagmented markets," SAFE Working Paper Series 196, Leibniz Institute for Financial Research SAFE.
    9. Thorsten Hens & Terje Lensberg & Klaus Reiner Schenk‐Hoppé, 2018. "Front‐Running and Market Quality: An Evolutionary Perspective on High Frequency Trading," International Review of Finance, International Review of Finance Ltd., vol. 18(4), pages 727-741, December.
    10. Austin Gerig & David Michayluk, 2014. "Automated Liquidity Provision," Research Paper Series 345, Quantitative Finance Research Centre, University of Technology, Sydney.
    11. Foucault , Thierry & Kozhan , Roman, 2014. "Toxic Arbitrage," HEC Research Papers Series 1040, HEC Paris.
    12. Nidhi Aggarwal & Venkatesh Panchapagesan & Susan Thomas, 2019. "When do regulatory interventions work?," Working Papers id:13040, eSocialSciences.
    13. Seddon, Jonathan J.J.M. & Currie, Wendy L., 2017. "A model for unpacking big data analytics in high-frequency trading," Journal of Business Research, Elsevier, vol. 70(C), pages 300-307.
    14. Breckenfelder, Johannes, 2019. "Competition among high-frequency traders, and market quality," Working Paper Series 2290, European Central Bank.
    15. Lafarguette Romain, 2016. "High-frequency Trading, Market Volatility, and Regulation: The Role of High-frequency Quoting and Dark Pools," Macroprudential Bulletin, European Central Bank, vol. 2.
    16. Roşu, Ioanid, 2019. "Fast and slow informed trading," Journal of Financial Markets, Elsevier, vol. 43(C), pages 1-30.
    17. Foucault, Thierry & Moinas, Sophie, 2018. "Is Trading Fast Dangerous?," TSE Working Papers 18-881, Toulouse School of Economics (TSE).
    18. Murray, Hamish & Pham, Thu Phuong & Singh, Harminder, 2016. "Latency reduction and market quality: The case of the Australian Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 257-265.
    19. Bellia, Mario & Pelizzon, Loriana & Subrahmanyam, Marti G. & Uno, Jun & Yuferova, Darya, 2017. "Low-latency trading and price discovery: Evidence from the Tokyo Stock Exchange in the pre-opening and opening periods," SAFE Working Paper Series 144, Leibniz Institute for Financial Research SAFE.
    20. Sida Li & Xin Wang & Mao Ye, 2019. "Who Provides Liquidity, and When?," NBER Working Papers 25972, National Bureau of Economic Research, Inc.
    21. Chakrabarty, Bidisha & Moulton, Pamela C. & Pascual, Roberto, 2017. "Trading system upgrades and short-sale bans: Uncoupling the effects of technology and regulation," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 74-90.
    22. Francis Breedon & Louisa Chen & Angelo Ranaldo & Nicholas Vause, 2018. "Judgement Day: Algorithmic Trading Around the Swiss Franc Cap Removal," Working Papers on Finance 1808, University of St. Gallen, School of Finance.
    23. Lo, Danny, 2017. "On the limit order behaviour of retail and non-retail investors," Pacific-Basin Finance Journal, Elsevier, vol. 44(C), pages 1-12.
    24. Clapham, Benjamin & Gomber, Peter & Haferkorn, Martin & Panz, Sven, 2017. "Managing excess volatility: Design and effectiveness of circuit breakers," SAFE Working Paper Series 195, Leibniz Institute for Financial Research SAFE.
    25. Cartea, Álvaro & Payne, Richard & Penalva, José & Tapia, Mikel, 2019. "Ultra-fast activity and intraday market quality," Journal of Banking & Finance, Elsevier, vol. 99(C), pages 157-181.
    26. Alderighi, Stefano & Cleary, Siobhan & Varanasi, Padmasai, 2018. "The determinants of cross-border portfolio equity flows: new evidence from emerging markets," Economics Discussion Papers 23310, University of Essex, Department of Economics.
    27. Lisa Anderson & Emad Andrews & Baiju Devani & Michael Mueller & Adrian Walton, 2018. "Speed Segmentation on Exchanges: Competition for Slow Flow," Staff Working Papers 18-3, Bank of Canada.
    28. Gider, Jasmin & Schmickler, Simon & Westheide, Christian, 2019. "High-frequency trading and price informativeness," SAFE Working Paper Series 248, Leibniz Institute for Financial Research SAFE.
    29. Markus Baldauf & Joshua Mollner, 2020. "High‐Frequency Trading and Market Performance," Journal of Finance, American Finance Association, vol. 75(3), pages 1495-1526, June.
    30. Jørgensen, Kjell & Skjeltorp, Johannes & Ødegaard, Bernt Arne, 2018. "Throttling hyperactive robots – Order-to-trade ratios at the Oslo Stock Exchange," Journal of Financial Markets, Elsevier, vol. 37(C), pages 1-16.
    31. Georges Dionne & Xiaozhou Zhou, 2020. "The dynamics of ex-ante weighted spread: an empirical analysis," Quantitative Finance, Taylor & Francis Journals, vol. 20(4), pages 593-617, April.
    32. Bartlett, Robert P. & McCrary, Justin, 2019. "How rigged are stock markets? Evidence from microsecond timestamps," Journal of Financial Markets, Elsevier, vol. 45(C), pages 37-60.
    33. Caccavaio, M. & Rodriguez d´Acri, C., 2016. "Macroprudential policy analysis and tools - Monitoring euro area banks’ risk weight developments," Macroprudential Bulletin, European Central Bank, vol. 2.
    34. Jun Aoyagi, 2019. "Strategic Speed Choice by High-Frequency Traders under Speed Bumps," ISER Discussion Paper 1050, Institute of Social and Economic Research, Osaka University.
    35. Alex Frino & Michael Garcia & Zeyang Zhou, 2020. "Impact of algorithmic trading on speed of adjustment to new information: Evidence from interest rate derivatives," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(5), pages 749-760, May.
    36. Daniel Ladley, 2019. "The Design and Regulation of High Frequency Traders," Discussion Papers in Economics 19/02, Division of Economics, School of Business, University of Leicester.
    37. Frino, Alex & Mollica, Vito & Monaco, Eleonora & Palumbo, Riccardo, 2017. "The effect of algorithmic trading on market liquidity: Evidence around earnings announcements on Borsa Italiana," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 82-90.
    38. Aït-Sahalia, Yacine & Brunetti, Celso, 2020. "High frequency traders and the price process," Journal of Econometrics, Elsevier, vol. 217(1), pages 20-45.
    39. Tomy Lee, 2019. "Latency in Fragmented Markets," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 33, pages 128-153, July.

  13. Brogaard, Jonathan & Engelberg, Joseph & Parsons, Christopher A., 2014. "Networks and productivity: Causal evidence from editor rotations," Journal of Financial Economics, Elsevier, vol. 111(1), pages 251-270.

    Cited by:

    1. Heckman, James J. & Moktan, Sidharth, 2018. "Publishing and Promotion in Economics: The Tyranny of the Top Five," IZA Discussion Papers 11868, Institute of Labor Economics (IZA).
    2. David Card & Stefano DellaVigna, 2017. "What do Editors Maximize? Evidence from Four Leading Economics Journals," NBER Working Papers 23282, National Bureau of Economic Research, Inc.
    3. Yushan Hu & Ben Li, 2017. "The Production Economics of The Economics Production," Boston College Working Papers in Economics 924, Boston College Department of Economics.
    4. Daniel S. Hamermesh, 2018. "Citations in Economics: Measurement, Uses, and Impacts," Journal of Economic Literature, American Economic Association, vol. 56(1), pages 115-156, March.
    5. Bransch, Felix & Kvasnicka, Michael, 2017. "Male Gatekeepers Gender Bias in the Publishing Process?," IZA Discussion Papers 11089, Institute of Labor Economics (IZA).
    6. Cloos, Janis & Greiff, Matthias & Rusch, Hannes, 2020. "Geographical Concentration and Editorial Favoritism within the Field of Laboratory Experimental Economics (RM/19/029-revised-)," Research Memorandum 014, Maastricht University, Graduate School of Business and Economics (GSBE).
    7. Sultan Orazbayev, 2017. "Diversity and collaboration in Economics," UCL SSEES Economics and Business working paper series 2017-4, UCL School of Slavonic and East European Studies (SSEES).
    8. David Card & Stefano DellaVigna, 2020. "What Do Editors Maximize? Evidence from Four Economics Journals," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 195-217, March.
    9. Yann Bramoull'e & Kenan Huremovi'c, 2017. "Promotion through Connections: Favors or Information?," Papers 1708.07723, arXiv.org, revised Jan 2020.
    10. Baruffaldi, Stefano & Visentin, Fabiana & Conti, Annamaria, 2016. "The productivity of science & engineering PhD students hired from supervisors’ networks," Research Policy, Elsevier, vol. 45(4), pages 785-796.
    11. Radek Zdeněk & Jana Lososová, 2018. "An analysis of editorial board members’ publication output in agricultural economics and policy journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 563-578, October.
    12. Chan, Kam C. & Chang, Chih-Hsiang & Chang, Yuanchen, 2015. "The network effects of publishing in finance," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 305-316.
    13. Reinartz, Sebastian J. & Urban, Daniel, 2017. "Finance conference quality and publication success: A conference ranking," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 155-174.
    14. Agrawal, Ajay & McHale, John & Oettl, Alexander, 2017. "How stars matter: Recruiting and peer effects in evolutionary biology," Research Policy, Elsevier, vol. 46(4), pages 853-867.

  14. Jonathan Brogaard & Terrence Hendershott & Ryan Riordan, 2014. "High-Frequency Trading and Price Discovery," Review of Financial Studies, Society for Financial Studies, vol. 27(8), pages 2267-2306.
    See citations under working paper version above.
  15. Michael Goldstein & Jonathan Brogaard & Terrence Hendershott & Stefan Hunt & Carla Ysusi, 2014. "High-Frequency Trading and the Execution Costs of Institutional Investors," The Financial Review, Eastern Finance Association, vol. 49(2), pages 345-369, May.

    Cited by:

    1. Benos, Evangelos & Sagade, Satchit, 2016. "Price discovery and the cross-section of high-frequency trading," Journal of Financial Markets, Elsevier, vol. 30(C), pages 54-77.
    2. Manahov, Viktor, 2016. "A note on the relationship between high-frequency trading and latency arbitrage," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 281-296.
    3. Fabio S. Dias & Gareth W. Peters, 2020. "A Non-parametric Test and Predictive Model for Signed Path Dependence," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 461-498, August.
    4. Guanqing Liu, 2019. "Technical Trading Behaviour: Evidence from Chinese Rebar Futures Market," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 669-704, August.
    5. Frino, Alex & Mollica, Vito & Webb, Robert I. & Zhang, Shunquan, 2017. "The impact of latency sensitive trading on high frequency arbitrage opportunities," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 91-102.
    6. Upson, James & Van Ness, Robert A., 2017. "Multiple markets, algorithmic trading, and market liquidity," Journal of Financial Markets, Elsevier, vol. 32(C), pages 49-68.
    7. Efstathios Panayi & Gareth W. Peters, 2015. "Stochastic simulation framework for the limit order book using liquidity-motivated agents," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 2(02), pages 1-52.
    8. Hu, Gang & Jo, Koren M. & Wang, Yi Alex & Xie, Jing, 2018. "Institutional trading and Abel Noser data," Journal of Corporate Finance, Elsevier, vol. 52(C), pages 143-167.
    9. John Cotter & Niall McGeever, 2018. "Are equity market anomalies disappearing? Evidence from the U.K," Working Papers 201804, Geary Institute, University College Dublin.
    10. 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.
    11. Gider, Jasmin & Schmickler, Simon & Westheide, Christian, 2019. "High-frequency trading and price informativeness," SAFE Working Paper Series 248, Leibniz Institute for Financial Research SAFE.
    12. Mestel, Roland & Murg, Michael & Theissen, Erik, 2018. "Algorithmic trading and liquidity: Long term evidence from Austria," Finance Research Letters, Elsevier, vol. 26(C), pages 198-203.
    13. Efstathios Panayi & Gareth Peters, 2015. "Stochastic simulation framework for the Limit Order Book using liquidity motivated agents," Papers 1501.02447, arXiv.org, revised Jan 2015.
    14. Sifat, Imtiaz Mohammad & Mohamad, Azhar, 2015. "Order imbalance and selling aggression under a shorting ban: Evidence from the UK," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 368-379.
    15. 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.
    16. Aït-Sahalia, Yacine & Brunetti, Celso, 2020. "High frequency traders and the price process," Journal of Econometrics, Elsevier, vol. 217(1), pages 20-45.

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