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Andrei Kirilenko

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. Silvia Bartolucci & Andrei Kirilenko, 2019. "A Model of the Optimal Selection of Crypto Assets," Papers 1906.09632, arXiv.org.

    Cited by:

    1. Silvia Bartolucci & Fabio Caccioli & Pierpaolo Vivo, 2019. "A percolation model for the emergence of the Bitcoin Lightning Network," Papers 1912.03556, arXiv.org.

  2. 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.

    Cited by:

    1. Giorgio Fagiolo & Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini, 2015. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," Post-Print hal-03411703, HAL.
    2. Poutré, Cédric & Dionne, Georges & Yergeau, Gabriel, 2023. "International high-frequency arbitrage for cross-listed stocks," International Review of Financial Analysis, Elsevier, vol. 89(C).
    3. Bastian von Beschwitz & Donald B Keim & Massimo Massa, 2020. "First to “Read” the News: News Analytics and Algorithmic Trading," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(1), pages 122-178.
    4. Viktor Manahov, 2024. "The rapid growth of cryptocurrencies: How profitable is trading in digital money?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2214-2229, April.
    5. Chen, Marie & Garriott, Corey, 2020. "High-frequency trading and institutional trading costs," Journal of Empirical Finance, Elsevier, vol. 56(C), pages 74-93.
    6. Biais, Bruno & Foucault, Thierry & Moinas, Sophie, 2013. "Equilibrium Fast Trading," IDEI Working Papers 769, Institut d'Économie Industrielle (IDEI), Toulouse, revised Sep 2014.
    7. Liu, Wei, 2021. "Can HFT profit in Chinese stock market?," Economics Letters, Elsevier, vol. 209(C).
    8. Banerjee, Anirban & Roy, Prince, 2023. "High-frequency traders’ evolving role as market makers," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    9. Rzayev, Khaladdin & Ibikunle, Gbenga & Steffen, Tom, 2023. "The market quality implications of speed in cross-platform trading: Evidence from Frankfurt-London microwave," Journal of Financial Markets, Elsevier, vol. 66(C).
    10. José Antonio Núñez-Mora & Mario Iván Contreras-Valdez & Roberto Joaquín Santillán-Salgado, 2023. "Risk Premium of Bitcoin and Ethereum during the COVID-19 and Non-COVID-19 Periods: A High-Frequency Approach," Mathematics, MDPI, vol. 11(20), pages 1-20, October.
    11. Nimalendran, Mahendrarajah & Rzayev, Khaladdin & Sagade, Satchit, 2024. "High-frequency trading in the stock market and the costs of options market making," LSE Research Online Documents on Economics 124228, London School of Economics and Political Science, LSE Library.
    12. Kang, Jongho & Kang, Jangkoo & Kwon, Kyung Yoon, 2022. "Market versus limit orders of speculative high-frequency traders and price discovery," Research in International Business and Finance, Elsevier, vol. 63(C).
    13. Aquilina, Matteo & Foley, Sean & O'Neill, Peter & Ruf, Thomas, 2024. "Sharks in the dark: Quantifying HFT dark pool latency arbitrage," Journal of Economic Dynamics and Control, Elsevier, vol. 158(C).
    14. Stephen N. Jurich, 2020. "Size Precedence And Share Volume: The Case Of The Psx Exchange," Journal of Financial Management, Markets and Institutions (JFMMI), World Scientific Publishing Co. Pte. Ltd., vol. 8(02), pages 1-28, December.
    15. Ge, Hengshun & Yang, Haijun & Doukas, John A., 2024. "The optimal strategies of competitive high-frequency traders and effects on market liquidity," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 653-679.
    16. Jonathan Brogaard & Corey Garriott & Anna Pomeranets, 2014. "High-Frequency Trading Competition," Staff Working Papers 14-19, Bank of Canada.
    17. Foucault , Thierry & Kozhan , Roman, 2014. "Toxic Arbitrage," HEC Research Papers Series 1040, HEC Paris.
    18. Karolis Liaudinskas, 2022. "Human vs. Machine: Disposition Effect among Algorithmic and Human Day Traders," Working Paper 2022/6, Norges Bank.
    19. Xuefeng Gao & Yunhan Wang, 2018. "Optimal Market Making in the Presence of Latency," Papers 1806.05849, arXiv.org, revised Mar 2020.
    20. Mark Marner-Hausen, 2022. "Developing a Framework for Real-Time Trading in a Laboratory Financial Market," ECONtribute Discussion Papers Series 172, University of Bonn and University of Cologne, Germany.
    21. Luyao Zhang & Fan Zhang, 2023. "Understand Waiting Time in Transaction Fee Mechanism: An Interdisciplinary Perspective," Papers 2305.02552, arXiv.org.
    22. Glebkin, Sergei & Kuong, John Chi-Fong, 2023. "When large traders create noise," Journal of Financial Economics, Elsevier, vol. 150(2).
    23. Carè, Rosella & Cumming, Douglas, 2024. "Technology and automation in financial trading: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 71(C).
    24. Breckenfelder, Johannes, 2019. "Competition among high-frequency traders, and market quality," Working Paper Series 2290, European Central Bank.
    25. Kaihua Qin & Liyi Zhou & Yaroslav Afonin & Ludovico Lazzaretti & Arthur Gervais, 2021. "CeFi vs. DeFi -- Comparing Centralized to Decentralized Finance," Papers 2106.08157, arXiv.org, revised Jun 2021.
    26. Yan Peng & Jason Shachat & Lijia Wei & S. Sarah Zhang, 2024. "Speed traps: algorithmic trader performance under alternative market balances and structures," Experimental Economics, Springer;Economic Science Association, vol. 27(2), pages 325-350, April.
    27. Dodd, Olga & Frijns, Bart & Indriawan, Ivan & Pascual, Roberto, 2023. "US cross-listing and domestic high-frequency trading: Evidence from Canadian stocks," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 301-320.
    28. 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).
    29. Rzayev, Khaladdin & Ibikunle, Gbenga & Steffen, Tom, 2023. "The market quality implications of speed in cross-platform trading: evidence from Frankfurt-London microwave," LSE Research Online Documents on Economics 119989, London School of Economics and Political Science, LSE Library.
    30. Roşu, Ioanid, 2019. "Fast and slow informed trading," Journal of Financial Markets, Elsevier, vol. 43(C), pages 1-30.
    31. Kemme, David M. & McInish, Thomas H. & Zhang, Jiang, 2022. "Market fairness and efficiency: Evidence from the Tokyo Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 134(C).
    32. Brolley, Michael & Zoican, Marius, 2023. "Liquid speed: A micro-burst fee for low-latency exchanges," Journal of Financial Markets, Elsevier, vol. 64(C).
    33. Baldauf, Markus & Mollner, Joshua, 2022. "Fast traders make a quick buck: The role of speed in liquidity provision," Journal of Financial Markets, Elsevier, vol. 58(C).
    34. Viktoria Dalko & Michael H. Wang, 2020. "High-frequency trading: Order-based innovation or manipulation?," Journal of Banking Regulation, Palgrave Macmillan, vol. 21(4), pages 289-298, December.
    35. Paul Bilokon & Burak Gunduz, 2023. "C++ Design Patterns for Low-latency Applications Including High-frequency Trading," Papers 2309.04259, arXiv.org.
    36. Matteo Aquilina & Sean Foley & Peter O'Neill & Matteo Thomas Ruf, 2023. "Sharks in the dark: quantifying HFT dark pool latency arbitrage," BIS Working Papers 1115, Bank for International Settlements.
    37. Khapko, Mariana & Zoican, Marius, 2021. "Do speed bumps curb low-latency investment? Evidence from a laboratory market," Journal of Financial Markets, Elsevier, vol. 55(C).
    38. Chengyu Li & Luyi Shen & Guoqi Qian, 2023. "Online Hybrid Neural Network for Stock Price Prediction: A Case Study of High-Frequency Stock Trading in the Chinese Market," Econometrics, MDPI, vol. 11(2), pages 1-19, May.
    39. Rajiv Sethi & Julie Seager & Emily Cai & Daniel M. Benjamin & Fred Morstatter, 2021. "Models, Markets, and the Forecasting of Elections," Papers 2102.04936, arXiv.org, revised May 2021.
    40. Rama Cont & Arseniy Kukanov, 2017. "Optimal order placement in limit order markets," Quantitative Finance, Taylor & Francis Journals, vol. 17(1), pages 21-39, January.
    41. Chakrabarty, Bidisha & Pascual, Roberto, 2023. "Stock liquidity and algorithmic market making during the COVID-19 crisis," Journal of Banking & Finance, Elsevier, vol. 147(C).
    42. Yamada, Masahiro, 2022. "Profitability and liquidity provision of HFTs during large price shocks: Does relative tick size matter?," Finance Research Letters, Elsevier, vol. 46(PA).
    43. Horst Treiblmaier, 2022. "Do cryptocurrencies really have (no) intrinsic value?," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1749-1758, September.
    44. Thiago W. Alves & Ionuţ Florescu & Dragoş Bozdog, 2023. "Insights on the Statistics and Market Behavior of Frequent Batch Auctions," Mathematics, MDPI, vol. 11(5), pages 1-26, March.
    45. Andriy Shkilko & Konstantin Sokolov, 2020. "Every Cloud Has a Silver Lining: Fast Trading, Microwave Connectivity, and Trading Costs," Journal of Finance, American Finance Association, vol. 75(6), pages 2899-2927, December.
    46. Hoffmann, Peter & Jank, Stephan, 2024. "What is the value of retail order flow?," Discussion Papers 33/2024, Deutsche Bundesbank.
    47. Michael Brolley & Marius Zoican, 2019. "Liquid Speed: On-Demand Fast Trading at Distributed Exchanges," Papers 1907.10720, arXiv.org.
    48. Sánchez Serrano Antonio, 2020. "High-Frequency Trading and Systemic Risk: A Structured Review of Findings and Policies," Review of Economics, De Gruyter, vol. 71(3), pages 169-195, December.
    49. Bidisha Chakrabarty & Pankaj K. Jain & Andriy Shkilko & Konstantin Sokolov, 2021. "Unfiltered Market Access and Liquidity: Evidence from the SEC Rule 15c3-5," Management Science, INFORMS, vol. 67(2), pages 1183-1198, February.
    50. Nimalendran, Mahendrarajah & Rzayev, Khaladdin & Sagade, Satchit, 2024. "High-frequency trading in the stock market and the costs of options market making," Journal of Financial Economics, Elsevier, vol. 159(C).
    51. Aït-Sahalia, Yacine & Brunetti, Celso, 2020. "High frequency traders and the price process," Journal of Econometrics, Elsevier, vol. 217(1), pages 20-45.
    52. Ekinci, Cumhur & Ersan, Oğuz, 2022. "High-frequency trading and market quality: The case of a “slightly exposed” market," International Review of Financial Analysis, Elsevier, vol. 79(C).
    53. Arumugam, Devika & Krishna Prasanna, P., 2021. "Commonality and contrarian trading among algorithmic traders," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    54. Aït-Sahalia, Yacine & Sağlam, Mehmet, 2024. "High frequency market making: The role of speed," Journal of Econometrics, Elsevier, vol. 239(2).

  3. Ing-Haw Cheng & Andrei Kirilenko & Wei Xiong, 2012. "Convective Risk Flows in Commodity Futures Markets," NBER Working Papers 17921, National Bureau of Economic Research, Inc.

    Cited by:

    1. Peersman, Gert & Rüth, Sebastian K. & Van der Veken, Wouter, 2019. "The interplay between oil and food commodity prices: Has It changed over time?," Working Papers 0665, University of Heidelberg, Department of Economics.
    2. Lim, Kian Guan & Nomikos, Nikos K. & Yap, Nelson, 2019. "Understanding the fundamentals of freight markets volatility," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 1-15.
    3. Aït-Youcef, Camille & Joëts, Marc, 2024. "The role of index traders in the financialization of commodity markets: A behavioral finance approach," Energy Economics, Elsevier, vol. 136(C).
    4. Yan, Lei & Irwin, Scott H. & Sanders, Dwight R., 2017. "Identifying the Impact of Financialization in Commodity Futures Prices from Index Rebalancing," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258504, Agricultural and Applied Economics Association.
    5. Christian A. Conrad, 2023. "Speculation in Food and Commodities - A Research Report: A Critical Discussion of the Econometric Research Method and an Alternative Analysis," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 15(6), pages 1-14, June.
    6. Jean-François Carpantier, 2019. "Commodity Prices In Empirical Research," LIDAM Discussion Papers IRES 2020021, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    7. Miffre, Joëlle & Brooks, Chris, 2013. "Do long-short speculators destabilize commodity futures markets?," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 230-240.
    8. James D. Hamilton & Jing Cynthia Wu, 2015. "Effects Of Index‐Fund Investing On Commodity Futures Prices," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(1), pages 187-205, February.
    9. Niaz Bashiri Behmiri, Maryam Ahmadi, Juha-Pekka Junttila, and Matteo Manera, 2021. "Financial Stress and Basis in Energy Markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    10. Pankaj K. Jain & Ayla Kayhan & Esen Onur, 2024. "Determinants of commodity market liquidity," The Financial Review, Eastern Finance Association, vol. 59(1), pages 9-30, February.
    11. Nicole M. Aulerich & Scott H. Irwin & Philip Garcia, 2014. "Bubbles, Food Prices, and Speculation: Evidence from the CFTC's Daily Large Trader Data Files," NBER Chapters, in: The Economics of Food Price Volatility, pages 211-253, National Bureau of Economic Research, Inc.
    12. Ana I. Sanjuán-López & Philip J. Dawson, 2017. "Volatility Effects of Index Trading and Spillovers on US Agricultural Futures Markets: A Multivariate GARCH Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(3), pages 822-838, September.
    13. Shimeng Shi, 2022. "Bitcoin futures risk premia," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(12), pages 2190-2217, December.
    14. Maryam Ahmadi & Niaz Bashiri Behmiri & Matteo Manera, 2020. "The theory of storage in the crude oil futures market, the role of financial conditions," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(7), pages 1160-1175, July.
    15. Mo, Xuan & Su, Zhi & Yin, Libo, 2019. "Can the skewness of oil returns affect stock returns? Evidence from China’s A-Share markets," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    16. Robert Czudaj, 2019. "Crude oil futures trading and uncertainty," Chemnitz Economic Papers 027, Department of Economics, Chemnitz University of Technology, revised Jan 2019.
    17. Yan, Lei & Irwin, Scott H. & Sanders, Dwight R., "undated". "The Relationship between Commodity Investment Flows and Crude Oil Futures Prices: Real or Spurious?," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235933, Agricultural and Applied Economics Association.
    18. Niaz Bashiri Behmiri & Matteo Manera & Marcella Nicolini, 2016. "Understanding Dynamic Conditional Correlations between Commodities Futures Markets," Working Papers 2016.17, Fondazione Eni Enrico Mattei.
    19. Heidorn, Thomas & Mokinski, Frieder & Rühl, Christoph & Schmaltz, Christian, 2014. "The impact of fundamental and financial traders on the term structure of oil," Frankfurt School - Working Paper Series 209, Frankfurt School of Finance and Management.
    20. Algieri, Bernardina, 2018. "A Journey Through the History of Commodity Derivatives Markets and the Political Economy of (De)Regulation," Discussion Papers 281139, University of Bonn, Center for Development Research (ZEF).
    21. Algieri, Bernardina & Kalkuhl, Matthias & Koch, Nicolas, 2015. "A Tale for Two Tails: Explaining Extreme Events in Financialized Agricultural markets," 2015 Conference (59th), February 10-13, 2015, Rotorua, New Zealand 202529, Australian Agricultural and Resource Economics Society.
    22. Burns, Christopher B. & Prager, Daniel L., 2024. "Do agricultural swaps co-move with equity markets? Evidence from the COVID-19 crisis," Journal of Commodity Markets, Elsevier, vol. 34(C).
    23. Ordu-Akkaya, Beyza Mina & Soytas, Ugur, 2020. "Does foreign portfolio investment strengthen stock-commodity markets connection?," Resources Policy, Elsevier, vol. 65(C).
    24. Bonnier, Jean-Baptiste, 2021. "Speculation and informational efficiency in commodity futures markets," Journal of International Money and Finance, Elsevier, vol. 117(C).
    25. Camille Aït-Youcef, 2019. "How index investment impacts commodities : A story about the financialization of agricultural commodities," Post-Print hal-03484371, HAL.
    26. Filippo Natoli, 2021. "Financialization Of Commodities Before And After The Great Financial Crisis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 488-511, April.
    27. Rhys ap Gwilym & M. Shahid Ebrahim & Abdelkader O. El Alaoui & Hamid Rahman & Abderrahim Taamouti, 2019. "Financial Frictions and the Futures Pricing Puzzle," Department of Economics Working Papers 2019_07, Durham University, Department of Economics.
    28. Viral V. Acharya & Lars A. Lochstoer & Tarun Ramadorai, 2011. "Limits to Arbitrage and Hedging: Evidence from Commodity Markets," NBER Working Papers 16875, National Bureau of Economic Research, Inc.
    29. Xingguo Luo & Yuting Lin & Xiaoli Yu & Feng He, 2021. "How trading in commodity futures option markets impacts commodity futures prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(8), pages 1333-1347, August.
    30. Vayanos, Dimitri & Kondor, Péter, 2014. "Liquidity Risk and the Dynamics of Arbitrage Capital," CEPR Discussion Papers 9885, C.E.P.R. Discussion Papers.
    31. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2021. "Economic news and the cross-section of commodity futures returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
    32. Raza, Syed Ali & Masood, Amna & Benkraiem, Ramzi & Urom, Christian, 2023. "Forecasting the volatility of precious metals prices with global economic policy uncertainty in pre and during the COVID-19 period: Novel evidence from the GARCH-MIDAS approach," Energy Economics, Elsevier, vol. 120(C).
    33. Davide, Marinella & Vesco, Paola, 2016. "Alternative Approaches for Rating INDCs: a Comparative Analysis," MITP: Mitigation, Innovation and Transformation Pathways 232716, Fondazione Eni Enrico Mattei (FEEM).
    34. Algieri, Bernardina & Leccadito, Arturo, 2019. "Price volatility and speculative activities in futures commodity markets: A combination of combinations of p-values test," Journal of Commodity Markets, Elsevier, vol. 13(C), pages 40-54.
    35. Büyükşahin, Bahattin & Robe, Michel A., 2014. "Speculators, commodities and cross-market linkages," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 38-70.
    36. Bierbaumer, Daniel & Rieth, Malte & Velinov, Anton, 2021. "The state-dependent trading behavior of banks in the oil futures market," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 1011-1024.
    37. Awan, Obaid A., 2019. "Price discovery or noise: The role of arbitrage and speculation in explaining crude oil price behaviour," Journal of Commodity Markets, Elsevier, vol. 16(C).
    38. Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Gonzalez-Fernandez, Marcos & Miffre, Joelle, 2020. "Fear of hazards in commodity futures markets," Journal of Banking & Finance, Elsevier, vol. 119(C).
    39. Matteo Bonato & Luca Taschini, 2016. "Comovement and the financialization of commodities," GRI Working Papers 215, Grantham Research Institute on Climate Change and the Environment.
    40. Uddin, Gazi Salah & Bekiros, Stelios & Ahmed, Ali, 2018. "The nexus between geopolitical uncertainty and crude oil markets: An entropy-based wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 30-39.
    41. Brunetti, Celso & Büyükşahin, Bahattin & Harris, Jeffrey H., 2016. "Speculators, Prices, and Market Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 51(5), pages 1545-1574, October.
    42. Mokni, Khaled & Al-Shboul, Mohammed & Assaf, Ata, 2021. "Economic policy uncertainty and dynamic spillover among precious metals under market conditions: Does COVID-19 have any effects?," Resources Policy, Elsevier, vol. 74(C).
    43. Bierbaumer, Daniel & Rieth, Malte & Velinov, Anton, 2021. "The state-dependent trading behavior of banks in the oil futures market," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 191, pages 1011-1024.
    44. Lyócsa, Štefan & Molnár, Peter & Todorova, Neda, 2017. "Volatility forecasting of non-ferrous metal futures: Covariances, covariates or combinations?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 228-247.
    45. Mixon, Scott & Onur, Esen & Riggs, Lynn, 2018. "Integrating swaps and futures: A new direction for commodity research," Journal of Commodity Markets, Elsevier, vol. 10(C), pages 3-21.
    46. Branger, Nicole & Grüning, Patrick & Schlag, Christian, 2016. "Commodities, financialization, and heterogeneous agents," SAFE Working Paper Series 131, Leibniz Institute for Financial Research SAFE.
    47. Covindassamy, Genevre & Robe, Michel A. & Wallen, Jonathan, 2016. "Sugar With Your Coffee?: Financials, Fundamentals, and Soft Price Uncertainty," IDB Publications (Working Papers) 8588, Inter-American Development Bank.
    48. Mahmoud Ayoub & Mahmoud Qadan, 2024. "Financial ambiguity and oil prices," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-23, December.
    49. Koch, Nicolas, 2014. "Tail events: A new approach to understanding extreme energy commodity prices," Energy Economics, Elsevier, vol. 43(C), pages 195-205.
    50. Baldi, Lucia & Peri, Massimo & Vandone, Daniela, 2016. "Stock markets’ bubbles burst and volatility spillovers in agricultural commodity markets," Research in International Business and Finance, Elsevier, vol. 38(C), pages 277-285.
    51. Takashi Kanamura, 2023. "Portfolio diversification and sustainable assets from new perspectives," Journal of Asset Management, Palgrave Macmillan, vol. 24(7), pages 581-600, December.
    52. Ramesh Adhikari & Kyle J. Putnam, 2024. "Financial Market Stress and Commodity Returns: A Dynamic Approach," Commodities, MDPI, vol. 3(1), pages 1-23, January.
    53. Mohammad Isleimeyyeh, 2020. "The role of financial investors in determining the commodity futures risk premium," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(9), pages 1375-1397, September.
    54. Conghui Hu & Zhibing Li & Xiaoyu Liu, 2020. "Liquidity shocks, commodity financialization, and market comovements," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(9), pages 1315-1336, September.
    55. Mikhail Stolbov & Maria Shchepeleva, 2021. "Macrofinancial linkages in Europe: Evidence from quantile local projections," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5557-5569, October.
    56. Robe, Michel A. & Roberts, John S., 2024. "Four Commitments of Traders Reports puzzles, revisited: Answers from grains and oilseeds futures markets," Journal of Commodity Markets, Elsevier, vol. 34(C).
    57. Daniel Bierbaumer & Malte Rieth & Anton Velinov, 2018. "Nonlinear Intermediary Pricing in the Oil Futures Market," Discussion Papers of DIW Berlin 1722, DIW Berlin, German Institute for Economic Research.
    58. Michael Hachula & Malte Rieth, 2017. "Identifying Speculative Demand Shocks in Commodity Futures Markets through Changes in Volatility," Discussion Papers of DIW Berlin 1646, DIW Berlin, German Institute for Economic Research.
    59. Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia, 2023. "Do commodity markets catch a cold from stock markets? Modelling uncertainty spillovers using Google search trends and wavelet coherence," International Review of Financial Analysis, Elsevier, vol. 87(C).
    60. Boos, Dominik & Grob, Linus, 2023. "Tracking speculative trading," Journal of Financial Markets, Elsevier, vol. 64(C).
    61. Wu, Lei & Zeng, Hongchao, 2019. "The impact of liquidity constraints on the cash-futures basis dynamics: Evidence from the Chinese market," Economic Modelling, Elsevier, vol. 83(C), pages 96-110.
    62. Michael Hachula & Malte Rieth, 2015. "Finanzspekulation und Rohstoffpreise," DIW Roundup: Politik im Fokus 63, DIW Berlin, German Institute for Economic Research.
    63. Wimmer, Thomas & Geyer-Klingeberg, Jerome & Hütter, Marie & Schmid, Florian & Rathgeber, Andreas, 2021. "The impact of speculation on commodity prices: A Meta-Granger analysis," Journal of Commodity Markets, Elsevier, vol. 22(C).
    64. Ing-Haw Cheng & Wei Xiong, 2013. "Why Do Hedgers Trade So Much?," NBER Working Papers 19670, National Bureau of Economic Research, Inc.
    65. Dwight R. Sanders & Scott H. Irwin, 2017. "Bubbles, Froth and Facts: Another Look at the Masters Hypothesis in Commodity Futures Markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 345-365, June.
    66. Lyu, Yongjian & Yi, Heling & Wei, Yu & Yang, Mo, 2021. "Revisiting the role of economic uncertainty in oil price fluctuations: Evidence from a new time-varying oil market model," Economic Modelling, Elsevier, vol. 103(C).
    67. Bernardina Algieri, 2021. "Fast & furious: Do psychological and legal factors affect commodity price volatility?," The World Economy, Wiley Blackwell, vol. 44(4), pages 980-1017, April.
    68. Jacobs, Keri & Li, Ziran & Hayes, Dermot, 2016. "Price responses in forward contracting: do we limit the upside and expose the downside?," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235539, Agricultural and Applied Economics Association.
    69. Batista Soares, David & Borocco, Etienne, 2022. "Rational destabilization in commodity markets," Journal of Commodity Markets, Elsevier, vol. 25(C).
    70. Kenneth J. Singleton, 2014. "Investor Flows and the 2008 Boom/Bust in Oil Prices," Management Science, INFORMS, vol. 60(2), pages 300-318, February.
    71. Christina Sklibosios Nikitopoulos & Alice Carole Thomas & Jianxin Wang, 2024. "Hedging pressure and oil volatility: Insurance versus liquidity demands," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(2), pages 252-280, February.
    72. Chatziantoniou, Ioannis & Filippidis, Michail & Filis, George & Gabauer, David, 2021. "A closer look into the global determinants of oil price volatility," Energy Economics, Elsevier, vol. 95(C).
    73. Annastiina Silvennoinen & Susan Thorp, 2015. "Crude Oil and Agricultural Futures: An Analysis of Correlation Dynamics," NCER Working Paper Series 109, National Centre for Econometric Research.
    74. Berger, Theo & Czudaj, Robert L., 2020. "Commodity futures and a wavelet-based risk assessment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    75. Ordu-Akkaya, Beyza Mina & Soytas, Ugur, 2020. "Unconventional monetary policy and financialization of commodities," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    76. Christian Gross, 2017. "Examining the Common Dynamics of Commodity Futures Prices," CQE Working Papers 6317, Center for Quantitative Economics (CQE), University of Muenster.
    77. Christian A. Conrad, 2024. "The Influence of Speculation in Food and Commodities and the Impact of Futures Prices on Spot Prices- Evidence from two Behavioral Experiments," Applied Economics and Finance, Redfame publishing, vol. 11(4), pages 1-14, November.
    78. Shimeng Shi & Jia Zhai & Yingying Wu, 2024. "Informational inefficiency on bitcoin futures," The European Journal of Finance, Taylor & Francis Journals, vol. 30(6), pages 642-667, April.
    79. Ing-Haw Cheng & Wei Xiong, 2014. "Financialization of Commodity Markets," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 419-441, December.
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    Cited by:

    1. Henry, Jérôme & Zimmermann, Maik & Leber, Miha & Kolb, Markus & Grodzicki, Maciej & Amzallag, Adrien & Vouldis, Angelos & Hałaj, Grzegorz & Pancaro, Cosimo & Gross, Marco & Baudino, Patrizia & Sydow, , 2013. "A macro stress testing framework for assessing systemic risks in the banking sector," Occasional Paper Series 152, European Central Bank.
    2. Silvia Gabrieli, 2011. "The microstructure of the money market before and after the financial crisis: a network perspective," CEIS Research Paper 181, Tor Vergata University, CEIS, revised 19 Jan 2011.
    3. Cohen-Cole, Ethan & Patacchini, Eleonora & Zenou, Yves, 2011. "Systemic Risk and Network Formation in the Interbank Market," Research Papers in Economics 2011:6, Stockholm University, Department of Economics.
    4. Gabrieli, S., 2012. "Too-connected versus too-big-to-fail: banks’ network centrality and overnight interest rates," Working papers 398, Banque de France.

  5. Jorge Baca-Campodónico & Luiz de Mello & Andrei Kirilenko, 2006. "The Rates and Revenue of Bank Transaction Taxes," OECD Economics Department Working Papers 494, OECD Publishing.

    Cited by:

    1. Andrés Murcia Pabón, 2007. "Determinantes del acceso al crédito de los hogares colombianos," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 25(55), pages 40-83, December.
    2. Ms. Thornton Matheson, 2011. "Taxing Financial Transactions: Issues and Evidence," IMF Working Papers 2011/054, International Monetary Fund.
    3. Ignacio Lozano-Espitia & Hernando Vargas-Herrera & Norberto Rodríguez-Niño, 2017. "Financial transaction tax and banking margins: An empirical note for Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 35(83), pages 154-160, June.
    4. Martínez-Vázquez, Jorge & Vulovic, Violeta, 2011. "Tax structure in Latin America: its impact on the real economy and compliance," Research Department working papers 224, CAF Development Bank Of Latinamerica.
    5. Lucia Pacheco & Liliana Rojas-Suarez, 2017. "An Index of Regulatory Practices for Financial Inclusion in Latin America," Working Papers 17/15, BBVA Bank, Economic Research Department.
    6. Restrepo, Felipe, 2019. "The effects of taxing bank transactions on bank credit and industrial growth: Evidence from Latin America," Journal of International Money and Finance, Elsevier, vol. 93(C), pages 335-355.
    7. Afonso, José Roberto Rodrigues & Serra, José, 2007. "Tributação, seguridade e coesão social no Brasil," Políticas Sociales 6140, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).

Articles

  1. 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.
    See citations under working paper version above.
  2. Andrei Kirilenko & Albert S. Kyle & Mehrdad Samadi & Tugkan Tuzun, 2017. "The Flash Crash: High-Frequency Trading in an Electronic Market," Journal of Finance, American Finance Association, vol. 72(3), pages 967-998, June.

    Cited by:

    1. Chakraborty, Chiranjit & Joseph, Andreas, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
    2. Kharma, Céline & Eugster, Nicolas, 2021. "Is competition beneficial? The case of exchange traded funds," International Review of Financial Analysis, Elsevier, vol. 76(C).
    3. Gunther Capelle-Blancard, 2018. "What is the Point of (the Hundreds of Thousands of Billions of) Stock Transactions?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03029284, HAL.
    4. Vasilios Mavroudis, 2019. "Market Manipulation as a Security Problem," Papers 1903.12458, arXiv.org.
    5. Rama Cont & Marvin S. Mueller, 2019. "A stochastic partial differential equation model for limit order book dynamics," Papers 1904.03058, arXiv.org, revised May 2021.
    6. Philippon, Thomas & Pagnotta, Emiliano, 2012. "Competing on Speed," CEPR Discussion Papers 8786, C.E.P.R. Discussion Papers.
    7. Borch, Christian, 2022. "Machine learning, knowledge risk, and principal-agent problems in automated trading," Technology in Society, Elsevier, vol. 68(C).
    8. Kyle, Albert S. & Obizhaeva, Anna A. & Tuzun, Tugkan, 2020. "Microstructure invariance in U.S. stock market trades," Journal of Financial Markets, Elsevier, vol. 49(C).
    9. Iryna Veryzhenko & Arthur Jonath & Etienne Harb, 2020. "Non-Value-Added Tax to Improve Market Fairness," Working Papers hal-02881064, HAL.
    10. Iryna Veryzhenko & Arthur Jonath & Etienne Harb, 2022. "Non-Value-Added Tax to improve market fairness and quality," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-30, December.
    11. Xing Gao & Daniel Ladley, 2022. "Noise trading and market stability," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1283-1301, October.
    12. Jon Danielsson & Andreas Uthemann, 2024. "Artificial intelligence and financial crises," Papers 2407.17048, arXiv.org.
    13. Bellia, Mario & Christensen, Kim & Kolokolov, Aleksey & Pelizzon, Loriana & Renò, Roberto, 2022. "Do designated market makers provide liquidity during a flash crash?," SAFE Working Paper Series 270, Leibniz Institute for Financial Research SAFE, revised 2022.
    14. Chen, Marie & Garriott, Corey, 2020. "High-frequency trading and institutional trading costs," Journal of Empirical Finance, Elsevier, vol. 56(C), pages 74-93.
    15. Gianluca Piero Maria Virgilio, 2019. "High-frequency trading: a literature review," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(2), pages 183-208, June.
    16. Wonse Kim & Younng-Jin Kim & Gihyun Lee & Woong Kook, 2020. "Investigation of Flash Crash via Topological Data Analysis," Papers 2008.11558, arXiv.org.
    17. Maarten P. Scholl & Anisoara Calinescu & J. Doyne Farmer, 2021. "How market ecology explains market malfunction," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(26), pages 2015574118-, June.
    18. 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".
    19. Raymond P. H. Fishe & Richard Haynes & Esen Onur, 2022. "Resiliency in the E‐mini futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(1), pages 5-23, January.
    20. Hatch, Brian C. & Johnson, Shane A. & Wang, Qin Emma & Zhang, Jun, 2021. "Algorithmic trading and firm value," Journal of Banking & Finance, Elsevier, vol. 125(C).
    21. 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.
    22. 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.
    23. Eduard Silantyev, 2019. "Order flow analysis of cryptocurrency markets," Digital Finance, Springer, vol. 1(1), pages 191-218, November.
    24. Hussain, Syed Mujahid & Ahmad, Nisar & Ahmed, Sheraz, 2023. "Applications of high-frequency data in finance: A bibliometric literature review," International Review of Financial Analysis, Elsevier, vol. 89(C).
    25. Jos'e Vin'icius de Miranda Cardoso & Jiaxi Ying & Daniel Perez Palomar, 2020. "Algorithms for Learning Graphs in Financial Markets," Papers 2012.15410, arXiv.org.
    26. Pankaj Kumar, 2021. "Deep Hawkes Process for High-Frequency Market Making," Papers 2109.15110, arXiv.org.
    27. Söhnke M. Bartram & Jürgen Branke & Mehrshad Motahari, 2020. "Artificial intelligence in asset management," Working Papers 20202001, Cambridge Judge Business School, University of Cambridge.
    28. Yang, Haijun & Ge, Hengshun & Luo, Ying, 2020. "The optimal bid-ask price strategies of high-frequency trading and the effect on market liquidity," Research in International Business and Finance, Elsevier, vol. 53(C).
    29. 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.
    30. Christensen, Kim & Oomen, Roel & Renò, Roberto, 2022. "The drift burst hypothesis," Journal of Econometrics, Elsevier, vol. 227(2), pages 461-497.
    31. Corgnet, Brice & DeSantis, Mark & Siemroth, Christoph, 2024. "Algorithmic Trading, Price Efficiency and Welfare: An Experimental Approach," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302411, Verein für Socialpolitik / German Economic Association.
    32. Stavros Degiannakis & George Filis & Grigorios Siourounis & Lorenzo Trapani, 2023. "Superkurtosis," Working Papers 318, Bank of Greece.
      • Degiannakis, Stavros & Filis, George & Siourounis, Grigorios & Trapani, Lorenzo, 2019. "Superkurtosis," MPRA Paper 96563, University Library of Munich, Germany.
      • Stavros Degiannakis & George Filis & Grigorios Siourounis & Lorenzo Trapani, 2023. "Superkurtosis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2061-2091, December.
      • Degiannakis, Stavros & Filis, George & Siourounis, Grigorios & Trapani, Lorenzo, 2019. "Superkurtosis," MPRA Paper 94473, University Library of Munich, Germany.
    33. Eduard Hartwich & Alexander Rieger & Johannes Sedlmeir & Dominik Jurek & Gilbert Fridgen, 2023. "Machine economies," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-13, December.
    34. Carlos Castro & Diego A. Agudelo & Sergio Preciado, 2018. "Measuring the effectiveness of volatility auctions," Documentos de Trabajo de Valor Público 16988, Universidad EAFIT.
    35. 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.
    36. 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.
    37. Xie, Wen-Jie & Li, Mu-Yao & Zhou, Wei-Xing, 2021. "Learning representation of stock traders and immediate price impacts," Emerging Markets Review, Elsevier, vol. 48(C).
    38. Murinde, Victor & Rizopoulos, Efthymios & Zachariadis, Markos, 2022. "The impact of the FinTech revolution on the future of banking: Opportunities and risks," International Review of Financial Analysis, Elsevier, vol. 81(C).
    39. Agostino Capponi & Jos'e E. Figueroa-L'opez & Chuyi Yu, 2021. "Market Making with Stochastic Liquidity Demand: Simultaneous Order Arrival and Price Change Forecasts," Papers 2101.03086, arXiv.org.
    40. Nimalendran, Mahendrarajah & Rzayev, Khaladdin & Sagade, Satchit, 2024. "High-frequency trading in the stock market and the costs of options market making," LSE Research Online Documents on Economics 124228, London School of Economics and Political Science, LSE Library.
    41. Bizzozero, Paolo & Flepp, Raphael & Franck, Egon, 2018. "The effect of fast trading on price discovery and efficiency: Evidence from a betting exchange," Journal of Economic Behavior & Organization, Elsevier, vol. 156(C), pages 126-143.
    42. 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.
    43. Aaron Wheeler & Jeffrey D. Varner, 2023. "Scalable Agent-Based Modeling for Complex Financial Market Simulations," Papers 2312.14903, arXiv.org, revised Jan 2024.
    44. Viktor Manahov, 2021. "High‐frequency trading order cancellations and market quality: Is stricter regulation the answer?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5385-5407, October.
    45. Joseph, Andreas & Vasios, Michalis, 2022. "OTC Microstructure in a period of stress: A Multi-layered network approach," Journal of Banking & Finance, Elsevier, vol. 138(C).
    46. Wang, Keli & Liu, Xiaoquan & Ye, Wuyi, 2023. "Intraday VaR: A copula-based approach," Journal of Empirical Finance, Elsevier, vol. 74(C).
    47. Marcello Rambaldi & Emmanuel Bacry & Jean-Franc{c}ois Muzy, 2018. "Disentangling and quantifying market participant volatility contributions," Papers 1807.07036, arXiv.org.
    48. Aquilina, Matteo & Foley, Sean & O'Neill, Peter & Ruf, Thomas, 2024. "Sharks in the dark: Quantifying HFT dark pool latency arbitrage," Journal of Economic Dynamics and Control, Elsevier, vol. 158(C).
    49. Xintong Wang & Christopher Hoang & Yevgeniy Vorobeychik & Michael P. Wellman, 2021. "Spoofing the Limit Order Book: A Strategic Agent-Based Analysis," Games, MDPI, vol. 12(2), pages 1-43, May.
    50. Angerer, Martin & Neugebauer, Tibor & Shachat, Jason, 2019. "Arbitrage bots in experimental asset markets," MPRA Paper 96224, University Library of Munich, Germany.
    51. 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.
    52. 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).
    53. Rama Cont & Alessandro Micheli & Eyal Neuman, 2022. "Fast and Slow Optimal Trading with Exogenous Information," Papers 2210.01901, arXiv.org, revised Jun 2023.
    54. Francis Breedon & Louisa Chen & Angelo Ranaldo & Nicholas Vause, 2019. "Judgment Day: Algorithmic Trading Around The Swiss Franc Cap Removal," Working Papers on Finance 1912, University of St. Gallen, School of Finance.
    55. Olgun, Onur & Ekinci, Cumhur & Arıkan, Ramazan, 2024. "The performance of selected high-frequency trading proxies: An application on Turkish index futures market," Finance Research Letters, Elsevier, vol. 65(C).
    56. Nicholas Hirschey, 2021. "Do High-Frequency Traders Anticipate Buying and Selling Pressure?," Management Science, INFORMS, vol. 67(6), pages 3321-3345, June.
    57. 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.
    58. Xusen Cheng & Danya Huang & Jin Chen & Xiangsong Meng & Chengyao Li, 2019. "An Investigation on Factors Affecting Stock Valuation Using Text Mining for Automated Trading," Sustainability, MDPI, vol. 11(7), pages 1-17, April.
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    60. Karolis Liaudinskas, 2022. "Human vs. Machine: Disposition Effect among Algorithmic and Human Day Traders," Working Paper 2022/6, Norges Bank.
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    143. 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).
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    146. 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.
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  3. Lada Adamic & Celso Brunetti & Jeffrey H. Harris & Andrei Kirilenko, 2017. "Trading networks," Econometrics Journal, Royal Economic Society, vol. 20(3), pages 126-149, October.

    Cited by:

    1. Li, Ming-Xia & Jiang, Zhi-Qiang & Xie, Wen-Jie & Xiong, Xiong & Zhang, Wei & Zhou, Wei-Xing, 2015. "Unveiling correlations between financial variables and topological metrics of trading networks: Evidence from a stock and its warrant," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 575-584.
    2. Bertrand Candelon & Laurent Ferrara & Marc Joëts, 2016. "Global Financial Interconnectedness: A nonlinear Assessment of the Uncertainty Channel," Post-Print hal-01667074, HAL.
    3. David Garcia & Frank Schweitzer, 2015. "Social signals and algorithmic trading of Bitcoin," Papers 1506.01513, arXiv.org, revised Sep 2015.
    4. Diebold, Francis X. & Yilmaz, Kamil, 2015. "Financial and Macroeconomic Connectedness: A Network Approach to Measurement and Monitoring," OUP Catalogue, Oxford University Press, number 9780199338306.
    5. Wen-Jie Xie & Ming-Xia Li & Hai-Chuan Xu & Wei Chen & Wei-Xing Zhou & H. E. Stanley, 2016. "Quantifying immediate price impact of trades based on the $k$-shell decomposition of stock trading networks," Papers 1611.06666, arXiv.org, revised Dec 2016.
    6. Franco Peracchi & Claudio Rossetti, 2013. "The heterogeneous thresholds ordered response model: identification and inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 703-722, June.
    7. Sam Langfield & Kimmo Soramäki, 2016. "Interbank Exposure Networks," Computational Economics, Springer;Society for Computational Economics, vol. 47(1), pages 3-17, January.
    8. Ethan Cohen-Cole & Andrei Kirilenko & Eleonora Patacchini, 2010. "Are Networks Priced? Network Topology and Order Trading Strategies in High Liquidity Markets," EIEF Working Papers Series 1011, Einaudi Institute for Economics and Finance (EIEF), revised Apr 2010.

  4. Steve Y. Yang & Qifeng Qiao & Peter A. Beling & William T. Scherer & Andrei A. Kirilenko, 2015. "Gaussian process-based algorithmic trading strategy identification," Quantitative Finance, Taylor & Francis Journals, vol. 15(10), pages 1683-1703, October.

    Cited by:

    1. Mahmoud Mahfouz & Angelos Filos & Cyrine Chtourou & Joshua Lockhart & Samuel Assefa & Manuela Veloso & Danilo Mandic & Tucker Balch, 2019. "On the Importance of Opponent Modeling in Auction Markets," Papers 1911.12816, arXiv.org.
    2. Iwao Maeda & David deGraw & Michiharu Kitano & Hiroyasu Matsushima & Kiyoshi Izumi & Hiroki Sakaji & Atsuo Kato, 2020. "Latent Segmentation of Stock Trading Strategies Using Multi-Modal Imitation Learning," JRFM, MDPI, vol. 13(11), pages 1-12, October.
    3. 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.
    4. Marcello Rambaldi & Emmanuel Bacry & Jean-Franc{c}ois Muzy, 2018. "Disentangling and quantifying market participant volatility contributions," Papers 1807.07036, arXiv.org.
    5. Dimitrios Vortelinos & Konstantinos Gkillas (Gillas) & Costas Syriopoulos & Argyro Svingou, 2017. "Asymmetric and nonlinear inter-relations of US stock indices," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 14(1), pages 78-129, December.
    6. Gkillas, Konstantinos & Konstantatos, Christoforos & Floros, Christos & Tsagkanos, Athanasios, 2021. "Realized volatility spillovers between US spot and futures during ECB news: Evidence from the European sovereign debt crisis," International Review of Financial Analysis, Elsevier, vol. 74(C).
    7. Mark E. Paddrik & Richard Haynes & Andrew E. Todd & William T. Scherer & Peter A. Beling, 2016. "Visual analysis to support regulators in electronic order book markets," Environment Systems and Decisions, Springer, vol. 36(2), pages 167-182, June.
    8. Guang Zhang, 2020. "Pairs Trading with Nonlinear and Non-Gaussian State Space Models," Papers 2005.09794, arXiv.org.
    9. Mahmoud Mahfouz & Tucker Balch & Manuela Veloso & Danilo Mandic, 2021. "Learning to Classify and Imitate Trading Agents in Continuous Double Auction Markets," Papers 2110.01325, arXiv.org, revised Oct 2021.
    10. Qifeng Qiao & Peter A. Beling, 2016. "Decision analytics and machine learning in economic and financial systems," Environment Systems and Decisions, Springer, vol. 36(2), pages 109-113, June.

  5. Ing-Haw Cheng & Andrei Kirilenko & Wei Xiong, 2015. "Convective Risk Flows in Commodity Futures Markets," Review of Finance, European Finance Association, vol. 19(5), pages 1733-1781.
    See citations under working paper version above.
  6. Matthew Elliott & Benjamin Golub & Andrei Kirilenko, 2014. "How Sharing Information Can Garble Experts' Advice," American Economic Review, American Economic Association, vol. 104(5), pages 463-468, May.

    Cited by:

    1. Catonini, Emiliano & Kurbatov, Andrey & Stepanov, Sergey, 2024. "Independent versus collective expertise," Games and Economic Behavior, Elsevier, vol. 143(C), pages 340-356.
    2. Martin Gregor, 2014. "Access fees for competing lobbies," Working Papers IES 2014/22, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2014.

  7. Cohen-Cole, Ethan & Kirilenko, Andrei & Patacchini, Eleonora, 2014. "Trading networks and liquidity provision," Journal of Financial Economics, Elsevier, vol. 113(2), pages 235-251.

    Cited by:

    1. Marc van Kralingen & Diego Garlaschelli & Karolina Scholtus & Iman van Lelyveld, 2020. "Crowded trades, market clustering, and price instability," Papers 2002.03319, arXiv.org.
    2. Ethan Cohen-Cole & Eleonora Patacchini & Yves Zenou, 2014. "Static and Dynamic Networks in Interbank Markets," EIEF Working Papers Series 1408, Einaudi Institute for Economics and Finance (EIEF), revised Sep 2014.
    3. Han, Rui-Qi & Li, Ming-Xia & Chen, Wei & Zhou, Wei-Xing & Stanley, H. Eugene, 2019. "Structural properties of statistically validated empirical information networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 747-756.
    4. Lawford, Steve & Mehmeti, Yll, 2020. "Cliques and a new measure of clustering: With application to U.S. domestic airlines," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    5. Gong, Xiao-Li & Liu, Xi-Hua & Xiong, Xiong & Zhang, Wei, 2019. "Financial systemic risk measurement based on causal network connectedness analysis," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 290-307.
    6. Steve Gibbons & Henry G. Overman & Eleonora Patacchini, 2014. "Spatial Methods," SERC Discussion Papers 0162, Centre for Economic Performance, LSE.
    7. Rainone, Edoardo, 2020. "The network nature of over-the-counter interest rates," Journal of Financial Markets, Elsevier, vol. 47(C).
    8. Áureo de Paula, 2016. "Econometrics of network models," CeMMAP working papers 06/16, Institute for Fiscal Studies.
    9. Xie, Wen-Jie & Li, Mu-Yao & Zhou, Wei-Xing, 2021. "Learning representation of stock traders and immediate price impacts," Emerging Markets Review, Elsevier, vol. 48(C).
    10. Philip Ushchev & Yves Zenou, 2016. "Price Competition in Product Variety Networks," Working Papers 2016.59, Fondazione Eni Enrico Mattei.
    11. Murat Tiniç & Ahmet Sensoy & Muge Demir & Duc Khuong Nguyen, 2021. "Broker Network Connectivity and the Cross-Section of Expected Stock Returns," Working Papers 2021-002, Department of Research, Ipag Business School.
    12. Shaowei Chen & Long Guo & Weike Zhang, 2023. "Financial Risk Measurement and Spatial Spillover Effects Based on an Imported Financial Risk Network: Evidence from Countries along the Belt and Road," Mathematics, MDPI, vol. 11(6), pages 1-25, March.
    13. Anil K. Jain & Robert M. Townsend, 2021. "The economics of platforms in a Walrasian framework," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 71(3), pages 877-924, April.
    14. Zhang, Weiping & Zhuang, Xintian & Lu, Yang, 2020. "Spatial spillover effects and risk contagion around G20 stock markets based on volatility network," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    15. Panzica, Roberto Calogero, 2018. "Idiosyncratic volatility puzzle: The role of assets' interconnections," SAFE Working Paper Series 228, Leibniz Institute for Financial Research SAFE.
    16. Hua Chen & Tao Sun, 2020. "Tail Risk Networks of Insurers Around the Globe: An Empirical Examination of Systemic Risk for G‐SIIs vs Non‐G‐SIIs," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(2), pages 285-318, June.
    17. Patacchini, Eleonora & Hsieh, Chih-Sheng & Lin, Xu, 2019. "Social Interaction Methods," CEPR Discussion Papers 14141, C.E.P.R. Discussion Papers.
    18. Shan Lu & Jichang Zhao & Huiwen Wang, 2019. "The emergence of critical stocks in market crash," Papers 1908.07244, arXiv.org.
    19. Kromidha, Endrit & Li, Matthew C., 2019. "Determinants of leadership in online social trading: A signaling theory perspective," Journal of Business Research, Elsevier, vol. 97(C), pages 184-197.

  8. Kirilenko, Andrei & Sowers, Richard B. & Meng, Xiangqian, 2013. "A multiscale model of high-frequency trading," Algorithmic Finance, IOS Press, vol. 2(1), pages 59-98.

    Cited by:

    1. José Da Fonseca & Riadh Zaatour, 2017. "Correlation and Lead–Lag Relationships in a Hawkes Microstructure Model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(3), pages 260-285, March.
    2. Jose Blanchet & Xinyun Chen, 2013. "Continuous-time Modeling of Bid-Ask Spread and Price Dynamics in Limit Order Books," Papers 1310.1103, arXiv.org.
    3. Xin Guo & Zhao Ruan & Lingjiong Zhu, 2015. "Dynamics of Order Positions and Related Queues in a Limit Order Book," Papers 1505.04810, arXiv.org, revised Oct 2015.
    4. Xuefeng Gao & S. J. Deng, 2014. "Hydrodynamic limit of order book dynamics," Papers 1411.7502, arXiv.org, revised Feb 2016.

  9. Andrei A. Kirilenko & Andrew W. Lo, 2013. "Moore's Law versus Murphy's Law: Algorithmic Trading and Its Discontents," Journal of Economic Perspectives, American Economic Association, vol. 27(2), pages 51-72, Spring.

    Cited by:

    1. Giorgio Fagiolo & Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini, 2015. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," Post-Print hal-03411703, HAL.
    2. Li-Xin Wang, 2014. "Dynamical Models of Stock Prices Based on Technical Trading Rules Part I: The Models," Papers 1401.1888, arXiv.org, revised Feb 2016.
    3. Rossi, S & Tinn, K, 2012. "Man or Machine? Rational trading without information about fundamentals," Working Papers 12194, Imperial College, London, Imperial College Business School.
    4. Jaqueson K. Galimberti & Nicolas Suhadolnik & Sergio Silva, 2017. "Cowboying Stock Market Herds with Robot Traders," Computational Economics, Springer;Society for Computational Economics, vol. 50(3), pages 393-423, October.
    5. Corsetti, G. & Lafarguette, R. & Mehl, A., 2019. "Fast Trading and the Virtue of Entropy: Evidence from the Foreign Exchange Market," Cambridge Working Papers in Economics 1970, Faculty of Economics, University of Cambridge.
    6. Tamer Khraisha & Keren Arthur, 2018. "Can we have a general theory of financial innovation processes? A conceptual review," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-27, December.
    7. Gianluca Piero Maria Virgilio, 2019. "High-frequency trading: a literature review," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(2), pages 183-208, June.
    8. Che‐Wei Liu & Mochen Yang & Ming‐Hui Wen, 2023. "Judge me on my losers: Do robo‐advisors outperform human investors during the COVID‐19 financial market crash?," Production and Operations Management, Production and Operations Management Society, vol. 32(10), pages 3174-3192, October.
    9. Fung, Derrick W.H. & Lee, Wing Yan & Yeh, Jason J.H. & Yuen, Fei Lung, 2020. "Friend or foe: The divergent effects of FinTech on financial stability," Emerging Markets Review, Elsevier, vol. 45(C).
    10. Sandrine Jacob Leal & Mauro Napoletano, 2016. "Market Stability vs. Market Resilience: Regulatory Policies Experiments in an Agent-Based Model with Low- and High-Frequency Trading," Post-Print hal-01512779, HAL.
    11. Matthew Zook & Michael H Grote, 2017. "The microgeographies of global finance: High-frequency trading and the construction of information inequality," Environment and Planning A, , vol. 49(1), pages 121-140, January.
    12. Flood, M. D. & Jagadish, H. V. & Raschid, L., 2016. "Big data challenges and opportunities in financial stability monitoring," Financial Stability Review, Banque de France, issue 20, pages 129-142, April.
    13. Qian Chen & Chuang Shen, 2024. "How FinTech Affects Bank Systemic Risk: Evidence from China," Journal of Financial Services Research, Springer;Western Finance Association, vol. 65(1), pages 77-101, February.
    14. Stavros Degiannakis & George Filis & Grigorios Siourounis & Lorenzo Trapani, 2023. "Superkurtosis," Working Papers 318, Bank of Greece.
      • Degiannakis, Stavros & Filis, George & Siourounis, Grigorios & Trapani, Lorenzo, 2019. "Superkurtosis," MPRA Paper 96563, University Library of Munich, Germany.
      • Stavros Degiannakis & George Filis & Grigorios Siourounis & Lorenzo Trapani, 2023. "Superkurtosis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2061-2091, December.
      • Degiannakis, Stavros & Filis, George & Siourounis, Grigorios & Trapani, Lorenzo, 2019. "Superkurtosis," MPRA Paper 94473, University Library of Munich, Germany.
    15. Gao, Bin & Liu, Xihua, 2020. "Intraday sentiment and market returns," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 48-62.
    16. Angerer, Martin & Neugebauer, Tibor & Shachat, Jason, 2019. "Arbitrage bots in experimental asset markets," MPRA Paper 96224, University Library of Munich, Germany.
    17. Francis Breedon & Louisa Chen & Angelo Ranaldo & Nicholas Vause, 2019. "Judgment Day: Algorithmic Trading Around The Swiss Franc Cap Removal," Working Papers on Finance 1912, University of St. Gallen, School of Finance.
    18. Smales, Lee A., 2023. "Classification of RBA monetary policy announcements using ChatGPT," Finance Research Letters, Elsevier, vol. 58(PC).
    19. Ge, Hengshun & Yang, Haijun & Doukas, John A., 2024. "The optimal strategies of competitive high-frequency traders and effects on market liquidity," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 653-679.
    20. Karolis Liaudinskas, 2022. "Human vs. Machine: Disposition Effect among Algorithmic and Human Day Traders," Working Paper 2022/6, Norges Bank.
    21. Wall, Larry D., 2018. "Some financial regulatory implications of artificial intelligence," Journal of Economics and Business, Elsevier, vol. 100(C), pages 55-63.
    22. Carè, Rosella & Cumming, Douglas, 2024. "Technology and automation in financial trading: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 71(C).
    23. Reihaneh Hajishirzi & Carlos J. Costa & Manuela Aparicio, 2022. "Boosting Sustainability through Digital Transformation’s Domains and Resilience," Sustainability, MDPI, vol. 14(3), pages 1-16, February.
    24. Mike Farjam & Oliver Kirchkamp, 2015. "Bubbles in hybrid markets - How expectations about algorithmic trading affect human trading," Jena Economics Research Papers 2015-003, Friedrich-Schiller-University Jena.
    25. Hudson, Robert & McGroarty, Frank & Urquhart, Andrew, 2017. "Sampling frequency and the performance of different types of technical trading rules," Finance Research Letters, Elsevier, vol. 22(C), pages 136-139.
    26. Chenjing Zhang & Qiaoge Li & Di Mao & Mancang Wang, 2023. "Research on the Threshold Effect of Internet Development on Regional Inclusive Finance in China," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
    27. Marco B Caminati & Manfred Kerber & Christoph Lange & Colin Rowat, 2015. "Sound Auction Specification and Implementation," Discussion Papers 15-08, Department of Economics, University of Birmingham.
    28. Arumugam, Devika, 2023. "Algorithmic trading: Intraday profitability and trading behavior," Economic Modelling, Elsevier, vol. 128(C).
    29. Luca Grilli & Sergio Mariotti & Riccardo Marzano, 2024. "Artificial intelligence and shapeshifting capitalism," Journal of Evolutionary Economics, Springer, vol. 34(2), pages 303-318, April.
    30. Li-Xin Wang, 2014. "Dynamical Models of Stock Prices Based on Technical Trading Rules Part II: Analysis of the Models," Papers 1401.1891, arXiv.org, revised Feb 2016.
    31. Virgilio, Gianluca, 2017. "Is high-frequency trading tiering the financial markets?," Research in International Business and Finance, Elsevier, vol. 41(C), pages 158-171.
    32. 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.
    33. Ben Ammar, Imen & Hellara, Slaheddine & Ghadhab, Imen, 2020. "High-frequency trading and stock liquidity: An intraday analysis," Research in International Business and Finance, Elsevier, vol. 53(C).
    34. Li-Xin Wang, 2014. "Dynamical Models of Stock Prices Based on Technical Trading Rules Part III: Application to Hong Kong Stocks," Papers 1401.1892, arXiv.org, revised Feb 2016.
    35. Kromidha, Endrit & Li, Matthew C., 2019. "Determinants of leadership in online social trading: A signaling theory perspective," Journal of Business Research, Elsevier, vol. 97(C), pages 184-197.

  10. Kirilenko, Andrei A., 2000. "On the endogeneity of trading arrangements," Journal of Financial Markets, Elsevier, vol. 3(3), pages 287-314, August.

    Cited by:

    1. Christian Opp & Vincent Glode, 2016. "(De)centralizing Trade," 2016 Meeting Papers 1591, Society for Economic Dynamics.

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