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Marcos Mailoc López de Prado
(Marcos Mailoc Lopez de Prado)

Personal Details

First Name:Marcos
Middle Name:Mailoc
Last Name:Lopez De
Suffix:Sr.
RePEc Short-ID:plo81
http://home.comcast.net/~lemavia/index.html
(312)622-3191

Affiliation

Harvard University -> Real Colegio Complutense

http://www.realcolegiocomplutense.harvard.edu/indexEn.htm
United States, Cambridge, MA

Research output

as
Jump to: Working papers Articles

Working papers

  1. Marcos Mailoc López de Prado & Achim Peijan, 2005. "Measuring Loss Potential of Hedge Fund Strategies," Finance 0503010, University Library of Munich, Germany.

Articles

  1. David Easley & Marcos M. López de Prado & Maureen O'Hara, 2012. "Flow Toxicity and Liquidity in a High-frequency World," The Review of Financial Studies, Society for Financial Studies, vol. 25(5), pages 1457-1493.

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. Marcos Mailoc López de Prado & Achim Peijan, 2005. "Measuring Loss Potential of Hedge Fund Strategies," Finance 0503010, University Library of Munich, Germany.

    Cited by:

    1. Sevinc Cukurova & Jose M. Marin, 2011. "On the economics of hedge fund drawdown status: Performance, insurance selling and darwinian selection," Working Papers 2011-04, Instituto Madrileño de Estudios Avanzados (IMDEA) Ciencias Sociales.
    2. Zabarankin, Michael & Pavlikov, Konstantin & Uryasev, Stan, 2014. "Capital Asset Pricing Model (CAPM) with drawdown measure," European Journal of Operational Research, Elsevier, vol. 234(2), pages 508-517.

Articles

  1. David Easley & Marcos M. López de Prado & Maureen O'Hara, 2012. "Flow Toxicity and Liquidity in a High-frequency World," The Review of Financial Studies, Society for Financial Studies, vol. 25(5), pages 1457-1493.

    Cited by:

    1. Marco Cipriani & Antonio Guarino & Andreas Uthemann, 2021. "Financial Transaction Taxes and the Informational Efficiency of Financial Markets: A Structural Estimation," Staff Reports 993, Federal Reserve Bank of New York.
    2. 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.
    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. 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.
    5. 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.
    6. Cespa, Giovanni & Vives, Xavier, 2017. "High Frequency Trading and Fragility," IESE Research Papers D/1161, IESE Business School.
    7. 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.
    8. Chen, Tao, 2018. "Round-number biases and informed trading in global markets," Journal of Business Research, Elsevier, vol. 92(C), pages 105-117.
    9. 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.
    10. 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".
    11. 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.
    12. Mark Paddrik & Roy Hayes & William Scherer & Peter Beling, 2014. "Effects of Limit Order Book Information Level on Market Stability Metrics," Working Papers 14-09, Office of Financial Research, US Department of the Treasury.
    13. 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.
    14. 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.
    15. Usman Arief & Zaäfri Ananto Husodo, 2021. "Private Information from Extreme Price Movements (Empirical Evidences from Southeast Asia Countries)," International Symposia in Economic Theory and Econometrics, in: Recent Developments in Asian Economics International Symposia in Economic Theory and Econometrics, volume 28, pages 221-242, Emerald Group Publishing Limited.
    16. Jagannathan, Ravi & Pelizzon, Loriana & Schaumburg, Ernst & Getmansky Sherman, Mila & Yuferova, Darya, 2021. "Recovery from fast crashes: Role of mutual funds," SAFE Working Paper Series 227, Leibniz Institute for Financial Research SAFE, revised 2021.
    17. Ivan Jericevich & Patrick Chang & Tim Gebbie, 2020. "Comparing the market microstructure between two South African exchanges," Papers 2011.04367, arXiv.org.
    18. Ghadhab, Imen & Hellara, Slaheddine, 2016. "Price discovery of cross-listed firms," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 177-188.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. Chang, Sanders S. & Albert Wang, F., 2019. "Informed contrarian trades and stock returns," Journal of Financial Markets, Elsevier, vol. 42(C), pages 75-93.
    24. Tang, Liang & Wan, Xiangyu, 2022. "Economic policy uncertainty and stock price informativeness," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    25. 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.
    26. 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.
    27. 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).
    28. Franklin Allen & Julapa Jagtiani, 2020. "A Survey of Fintech Research and Policy Discussion," Working Papers 20-21, Federal Reserve Bank of Philadelphia.
    29. 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.
    30. 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).
    31. 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).
    32. Foucault , Thierry & Kozhan , Roman, 2014. "Toxic Arbitrage," HEC Research Papers Series 1040, HEC Paris.
    33. 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.
    34. 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.
    35. 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.
    36. Lof, Matthijs & Bommel, Jos van, 2018. "Asymmetric information and the distribution of trading volume," Bank of Finland Research Discussion Papers 1/2018, Bank of Finland.
    37. 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, January-A.
    38. 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.
    39. 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).
    40. Wu, Weili & Zhu, Feifei, 2023. "ETF ownership and informational efficiency of underlying stocks: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    41. Alexander Barzykin & Robert Boyce & Eyal Neuman, 2024. "Unwinding Toxic Flow with Partial Information," Papers 2407.04510, arXiv.org.
    42. Dai, Yue & Chen, Minhao & Zuo, Zhengyu, 2023. "Neighbors in space: Satellite imagery and Chinese B-share discount," China Economic Review, Elsevier, vol. 82(C).
    43. Eduard Krkoska & Klaus Reiner Schenk-Hoppé, 2019. "Herding in Smart-Beta Investment Products," JRFM, MDPI, vol. 12(1), pages 1-14, March.
    44. Torben G. Andersen & Oleg Bondarenko, 2011. "VPIN and the Flash Crash," CREATES Research Papers 2011-50, Department of Economics and Business Economics, Aarhus University.
    45. 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.
    46. Rene Carmona & Kevin Webster, 2017. "The microstructure of high frequency markets," Papers 1709.02015, arXiv.org.
    47. 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.
    48. 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.
    49. 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.
    50. Paolo Mazza, 2015. "Price dynamics and market liquidity: An intraday event study on Euronext," Post-Print hal-01563014, HAL.
    51. 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).
    52. Aldrich, Eric M & Friedman, Daniel, 2019. "Order Protection through Delayed Messaging," Santa Cruz Department of Economics, Working Paper Series qt4938f518, Department of Economics, UC Santa Cruz.
    53. Travis L. Johnson & Eric C. So, 2018. "A Simple Multimarket Measure of Information Asymmetry," Management Science, INFORMS, vol. 64(3), pages 1055-1080, March.
    54. Giovanni Cespa & Xavier Vives, 2016. "Market Transparency and Fragility," CESifo Working Paper Series 6279, CESifo.
    55. 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.
    56. 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.
    57. Patrick Chang & Etienne Pienaar & Tim Gebbie, 2020. "The Epps effect under alternative sampling schemes," Papers 2011.11281, arXiv.org, revised Aug 2021.
    58. O’Hara, Maureen, 2015. "High frequency market microstructure," Journal of Financial Economics, Elsevier, vol. 116(2), pages 257-270.
    59. 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.
    60. 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.
    61. 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.
    62. Boyue Fang & Yutong Feng, 2019. "Design of High-Frequency Trading Algorithm Based on Machine Learning," Papers 1912.10343, arXiv.org.
    63. Donglian Ma & Pengxiang Zhai, 2021. "The Accuracy of the Tick Rule in the Bitcoin Market," SAGE Open, , vol. 11(2), pages 21582440211, May.
    64. 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.
    65. 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.
    66. 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.
    67. 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.
    68. 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.
    69. Rene Carmona & Kevin Webster, 2013. "The Self-Financing Equation in High Frequency Markets," Papers 1312.2302, arXiv.org.
    70. 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).
    71. 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.
    72. 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.
    73. Brogaard, Jonathan & Hendershott, Terrence & Riordan, Ryan, 2013. "High frequency trading and price discovery," Working Paper Series 1602, European Central Bank.
    74. 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.
    75. Erhan Bayraktar & Alexander Munk, 2017. "Mini-Flash Crashes, Model Risk, and Optimal Execution," Papers 1705.09827, arXiv.org, revised Aug 2018.
    76. 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).
    77. 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).
    78. 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.
    79. 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.
    80. 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.
    81. Aliyev, Nihad & He, Xue-Zhong, 2023. "Ambiguous price formation," Journal of Mathematical Economics, Elsevier, vol. 106(C).
    82. 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.
    83. 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.
    84. 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.
    85. 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).
    86. 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).
    87. 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).
    88. Conlon, Thomas & Corbet, Shaen & McGee, Richard J., 2024. "The Bitcoin volume-volatility relationship: A high frequency analysis of futures and spot exchanges," International Review of Financial Analysis, Elsevier, vol. 91(C).
    89. 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.
    90. 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.
    91. 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.
    92. 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.
    93. Ibikunle, Gbenga, 2018. "Trading places: Price leadership and the competition for order flow," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 178-200.
    94. 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.
    95. David Easley & Marcos López de Prado & Maureen O’Hara & Zhibai Zhang & Wei Jiang, 2021. "Microstructure in the Machine Age [The risk of machine learning]," The Review of Financial Studies, Society for Financial Studies, vol. 34(7), pages 3316-3363.
    96. Mark Fedenia & Tavy Ronen & Seunghan Nam, 2024. "Machine learning and trade direction classification: insights from the corporate bond market," Review of Quantitative Finance and Accounting, Springer, vol. 63(1), pages 1-36, July.
    97. Kim, Sangwan & Lim, Steve C., 2017. "Earnings comparability and informed trading," Finance Research Letters, Elsevier, vol. 20(C), pages 130-136.
    98. 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.
    99. 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.
    100. 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.
    101. 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.
    102. Conrad, Jennifer & Wahal, Sunil, 2020. "The term structure of liquidity provision," Journal of Financial Economics, Elsevier, vol. 136(1), pages 239-259.
    103. 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.
    104. Gehrig, Thomas & Haas, Marlene, 2014. "Lehman Brothers: What Did Markets Know?," CEPR Discussion Papers 9893, C.E.P.R. Discussion Papers.
    105. Chen, Xing & Wu, Chongfeng, 2022. "Retail investor attention and information asymmetry: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    106. 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.
    107. Andersen, Torben G. & Bondarenko, Oleg, 2014. "Reflecting on the VPIN dispute," Journal of Financial Markets, Elsevier, vol. 17(C), pages 53-64.
    108. 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).
    109. 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.
    110. 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.
    111. 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.
    112. 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.
    113. 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).
    114. 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).
    115. 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).
    116. 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).
    117. P. B. Lerner, 2020. "Dual State-Space Model of Market Liquidity: The Chinese Experience 2009-2010," Papers 2004.06200, arXiv.org, revised May 2020.
    118. Jurkatis, Simon, 2020. "Inferring trade directions in fast markets," Bank of England working papers 896, Bank of England.
    119. 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).
    120. Jurkatis, Simon, 2022. "Inferring trade directions in fast markets," Journal of Financial Markets, Elsevier, vol. 58(C).
    121. 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.
    122. Tirapat, Sunti & Visaltanachoti, Nuttawat, 2013. "Opportunistic insider trading," Pacific-Basin Finance Journal, Elsevier, vol. 21(1), pages 1046-1061.
    123. Zhao, Wandi & Gao, Yang, 2023. "Network connectedness and the contagion structure of informed trading: Evidence from the time and frequency domains," International Review of Financial Analysis, Elsevier, vol. 90(C).
    124. 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).
    125. Huobao Xie & Can Lin, 2024. "Economic policy uncertainty and directors and officers liability insurance: a perspective on capital market pressures," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 49(3), pages 605-635, July.
    126. 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).
    127. Rzayev, Khaladdin & Ibikunle, Gbenga, 2019. "A state-space modeling of the information content of trading volume," Journal of Financial Markets, Elsevier, vol. 46(C).
    128. Blankespoor, Elizabeth & deHaan, Ed & Marinovic, Iván, 2020. "Disclosure processing costs, investors’ information choice, and equity market outcomes: A review," Journal of Accounting and Economics, Elsevier, vol. 70(2).
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NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-FIN: Finance (1) 2005-04-16
  2. NEP-MAC: Macroeconomics (1) 2005-04-16
  3. NEP-RMG: Risk Management (1) 2005-04-16

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