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Gaelle Le Fol

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. Serge Darolles & Gaëlle Le Fol & Yang Lu & Ran Sun, 2019. "Bivariate integer-autoregressive process with an application to mutual fund flows," Post-Print hal-04582262, HAL.

    Cited by:

    1. Yang Lu, 2021. "The predictive distributions of thinning‐based count processes," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(1), pages 42-67, March.
    2. Fokianos, Konstantinos, 2024. "Multivariate Count Time Series Modelling," Econometrics and Statistics, Elsevier, vol. 31(C), pages 100-116.
    3. Lee, Sangyeol & Kim, Dongwon & Kim, Byungsoo, 2023. "Modeling and inference for multivariate time series of counts based on the INGARCH scheme," Computational Statistics & Data Analysis, Elsevier, vol. 177(C).
    4. Sangyeol Lee & Minyoung Jo, 2023. "Bivariate random coefficient integer‐valued autoregressive models: Parameter estimation and change point test," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(5-6), pages 644-666, September.
    5. Kai Yang & Yiwei Zhao & Han Li & Dehui Wang, 2023. "On bivariate threshold Poisson integer-valued autoregressive processes," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 86(8), pages 931-963, November.
    6. Luiza S. C. Piancastelli & Wagner Barreto‐Souza & Hernando Ombao, 2023. "Flexible bivariate INGARCH process with a broad range of contemporaneous correlation," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(2), pages 206-222, March.

  2. Serge Darolles & Gaëlle Le Fol & Gulten Mero, 2017. "Mixture of Distribution Hypothesis: Analyzing daily liquidity frictions and information flows," Post-Print hal-01593402, HAL.

    Cited by:

    1. Antonio A. F. Santos, 2021. "Bayesian Estimation for High-Frequency Volatility Models in a Time Deformed Framework," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 455-479, February.
    2. Harjoto, Maretno Agus & Rossi, Fabrizio & Lee, Robert & Sergi, Bruno S., 2021. "How do equity markets react to COVID-19? Evidence from emerging and developed countries," Journal of Economics and Business, Elsevier, vol. 115(C).
    3. Chen, Shengming & Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023. "The Russia–Ukraine war and energy market volatility: A novel application of the volatility ratio in the context of natural gas," Resources Policy, Elsevier, vol. 85(PA).
    4. Maria Ludovica Drudi & Giulio Carlo Venturi, 2023. "Assessing the liquidity premium in the Italian bond market," Questioni di Economia e Finanza (Occasional Papers) 795, Bank of Italy, Economic Research and International Relations Area.
    5. Sergi, Bruno S. & Harjoto, Maretno Agus & Rossi, Fabrizio & Lee, Robert, 2021. "Do stock markets love misery? Evidence from the COVID-19," Finance Research Letters, Elsevier, vol. 42(C).
    6. Liu, Bin & Xia, XiangYang & Xiao, Wen, 2020. "Public information content and market information efficiency: A comparison between China and the U.S," China Economic Review, Elsevier, vol. 60(C).
    7. Gradojevic, Nikola & Erdemlioglu, Deniz & Gençay, Ramazan, 2020. "A new wavelet-based ultra-high-frequency analysis of triangular currency arbitrage," Economic Modelling, Elsevier, vol. 85(C), pages 57-73.
    8. K Shiljas & Dilip Kumar & Hajam Abid Bashir, 2023. "Nexus between Twitter-based sentiment and tourism sector performance amid COVID-19 pandemic," Tourism Economics, , vol. 29(8), pages 2200-2205, December.
    9. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2019. "Liquidity, surprise volume and return premia in the oil market," Energy Economics, Elsevier, vol. 77(C), pages 93-104.
    10. Zhang, Zuochao & Shen, Dehua, 2024. "Internet stock message boards and the price–volume relationship: Registered users vs non-registered users," Finance Research Letters, Elsevier, vol. 61(C).
    11. Gilles de Truchis & Florent Dubois & Elena Ivona Dumitrescu, 2019. "Local Whittle Analysis of Stationary Unbalanced Fractional Cointegration Systems," Working Papers hal-04141882, HAL.
    12. Ao Shu & Feiyang Cheng & Jianlei Han & Zini Liang & Zheyao Pan, 2023. "Arbitrage across different Bitcoin exchange venues: Perspectives from investor base and market related events," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(5), pages 5183-5210, December.
    13. Zhang, Zuochao & Shen, Dehua, 2024. "Not all the news fitting to reprint: Evidence from price-volume relationship," Finance Research Letters, Elsevier, vol. 62(PA).
    14. Yanlong Wang & Jian Xu & Shao-Lun Huang & Danny Dongning Sun & Xiao-Ping Zhang, 2025. "Assessing Uncertainty in Stock Returns: A Gaussian Mixture Distribution-Based Method," Papers 2503.06929, arXiv.org.
    15. Ranaldo, Angelo & de Magistris, Paolo Santucci, 2022. "Liquidity in the global currency market," Journal of Financial Economics, Elsevier, vol. 146(3), pages 859-883.
    16. Pengfei Wang & Wei Zhang & Xiao Li & Dehua Shen, 2019. "Trading volume and return volatility of Bitcoin market: evidence for the sequential information arrival hypothesis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(2), pages 377-418, June.
    17. Kwame Asiam Addey & William Nganje, 2023. "The role of the U.S. exchange‐rate equity market volatility on agricultural exports and forecasts," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 71(1), pages 25-47, March.
    18. Maki, Daiki, 2024. "Asymmetric effect of trading volume on realized volatility," International Review of Economics & Finance, Elsevier, vol. 94(C).
    19. Bertelsen, Kristoffer Pons & Borup, Daniel & Jakobsen, Johan Stax, 2021. "Stock market volatility and public information flow: A non-linear perspective," Economics Letters, Elsevier, vol. 204(C).
    20. Zhou, Xinquan & Bagnarosa, Guillaume & Gohin, Alexandre & Pennings, Joost M.E. & Debie, Philippe, 2023. "Microstructure and high-frequency price discovery in the soybean complex," Journal of Commodity Markets, Elsevier, vol. 30(C).
    21. Angelo Ranaldo & Paolo Santucci de Magistris, 2018. "Trading Volume, Illiquidity and Commonalities in FX Markets," Working Papers on Finance 1823, University of St. Gallen, School of Finance, revised Oct 2019.

  3. Serge Darolles & Gaëlle Le Fol & Gulten Mero, 2015. "Measuring the Liquidity Part of Volume," Post-Print hal-01632766, HAL.

    Cited by:

    1. Antonio A. F. Santos, 2021. "Bayesian Estimation for High-Frequency Volatility Models in a Time Deformed Framework," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 455-479, February.
    2. Li, Jie & Ren, Da & Feng, Xu & Zhang, Yongjie, 2016. "Network of listed companies based on common shareholders and the prediction of market volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 508-521.
    3. Fredj Jawadi & Waël Louhichi & Abdoulkarim Idi Cheffou & Rivo Randrianarivony, 2016. "Intraday jumps and trading volume: a nonlinear Tobit specification," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1167-1186, November.
    4. Ying Jiang & Neil Kellard & Xiaoquan Liu, 2020. "Night trading and market quality: Evidence from Chinese and US precious metal futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(10), pages 1486-1507, October.
    5. Eduardo Bered Fernandes Vieira & Tiago Pascoal Filomena, 2020. "Liquidity Constraints for Portfolio Selection Based on Financial Volume," Computational Economics, Springer;Society for Computational Economics, vol. 56(4), pages 1055-1077, December.
    6. Maria Ludovica Drudi & Giulio Carlo Venturi, 2023. "Assessing the liquidity premium in the Italian bond market," Questioni di Economia e Finanza (Occasional Papers) 795, Bank of Italy, Economic Research and International Relations Area.
    7. Liu, Bin & Xia, XiangYang & Xiao, Wen, 2020. "Public information content and market information efficiency: A comparison between China and the U.S," China Economic Review, Elsevier, vol. 60(C).
    8. Xu, Liao & Gao, Han & Shi, Yukun & Zhao, Yang, 2020. "The heterogeneous volume-volatility relations in the exchange-traded fund market: Evidence from China," Economic Modelling, Elsevier, vol. 85(C), pages 400-408.
    9. Serge Darolles & Gaëlle Le Fol & Gulten Mero, 2016. "Mixture of distribution hypothesis: Analyzing daily liquidity frictions and information flows," Post-Print hal-04590596, HAL.
    10. Priyanka Naik & Y. V. Reddy, 2021. "Stock Market Liquidity: A Literature Review," SAGE Open, , vol. 11(1), pages 21582440209, January.
    11. Eduardo Bered Fernandes Vieira & Tiago Pascoal Filomena & Leonardo Riegel Sant’anna & Miguel A. Lejeune, 2023. "Liquidity-constrained index tracking optimization models," Annals of Operations Research, Springer, vol. 330(1), pages 73-118, November.
    12. Francisco Javier Vasquez-Tejos & Prosper Lamothe Fernández, 2020. "Liquidity Risk and Stock Return in Latin American Emerging Markets," Investigación & Desarrollo, Universidad Privada Boliviana, vol. 20(1), pages 57-74.
    13. Zied Ftiti & Fredj Jawadi & Waël Louhichi, 2017. "Modelling the relationship between future energy intraday volatility and trading volume with wavelet," Applied Economics, Taylor & Francis Journals, vol. 49(20), pages 1981-1993, April.
    14. Ranaldo, Angelo & de Magistris, Paolo Santucci, 2022. "Liquidity in the global currency market," Journal of Financial Economics, Elsevier, vol. 146(3), pages 859-883.
    15. Staer, Arsenio & Sottile, Pedro, 2018. "Equivalent volume and comovement," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 143-157.
    16. Angelo Ranaldo & Paolo Santucci de Magistris, 2018. "Trading Volume, Illiquidity and Commonalities in FX Markets," Working Papers on Finance 1823, University of St. Gallen, School of Finance, revised Oct 2019.
    17. Gulten Mero & Serge Darolles & Gaëlle Le Fol, 2015. "Financial Market Liquidity: Who Is Acting Strategically?," THEMA Working Papers 2015-14, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.

  4. Serge Darolles & Jeremy Dudek & Gaëlle Le Fol, 2014. "Contagion in Emerging Markets," Post-Print hal-01632778, HAL.

    Cited by:

    1. Ballester, Laura & Díaz-Mendoza, Ana Carmen & González-Urteaga, Ana, 2019. "A systematic review of sovereign connectedness on emerging economies," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 157-163.

  5. Serge Darolles & Jeremy Dudek & Gaëlle Le Fol, 2013. "Liquidity Contagion. The Emerging Sovereign Debt Markets example," Post-Print hal-01632782, HAL.

    Cited by:

    1. Ballester, Laura & Díaz-Mendoza, Ana Carmen & González-Urteaga, Ana, 2019. "A systematic review of sovereign connectedness on emerging economies," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 157-163.

  6. Jedrzej Bialkowski & Serge Darolles & Gaëlle Le Fol, 2012. "Reducing the risk of VWAP orders execution - A new approach to modeling intra-day volume," Post-Print hal-01632822, HAL.

    Cited by:

    1. Remi Genet, 2025. "Deep Learning for VWAP Execution in Crypto Markets: Beyond the Volume Curve," Papers 2502.13722, arXiv.org, revised Apr 2025.

  7. Serge Darolles & Jérémy Dudek & Gaëlle Le Fol, 2012. "Liquidity contagion: A look at emerging markets," Post-Print halshs-00877035, HAL.

    Cited by:

    1. Augustin, Patrick & Subrahmanyam, Marti G. & Tang, Dragon Yongjun & Wang, Sarah Qian, 2014. "Credit Default Swaps: A Survey," Foundations and Trends(R) in Finance, now publishers, vol. 9(1-2), pages 1-196, December.

  8. Vladimir Borgy & Julien Idier & Gaëlle Le Fol, 2010. "Liquidity Problems in the FX Liquid Market," Working Papers halshs-00539985, HAL.

    Cited by:

    1. Darolles, Serge & Fol, Gaëlle Le & Mero, Gulten, 2015. "Measuring the liquidity part of volume," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 92-105.

  9. Vladimir Borgy & Julien Idier. & Le Fol, G., 2010. "Liquidity problems in the FX liquid market: Ask for the "BIL"," Working papers 279, Banque de France.

    Cited by:

    1. Darolles, Serge & Fol, Gaëlle Le & Mero, Gulten, 2015. "Measuring the liquidity part of volume," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 92-105.

  10. Gaëlle Le Fol & Julien Idier & Caroline Jardet, 2009. "How Liquid are Markets?," Post-Print halshs-00638443, HAL.

    Cited by:

    1. Serge Darolles & Gaëlle Le Fol, 2014. "Trading Volume and Arbitrage," Post-Print hal-01632848, HAL.
    2. Vladimir Borgy & Julien Idier. & Le Fol, G., 2010. "Liquidity problems in the FX liquid market: Ask for the "BIL"," Working papers 279, Banque de France.

  11. Julien Idier & Caroline Jardet & Gaëlle Le Fol & Alain Monfort & Fulvio Pegoraro, 2008. "Taking into account extreme events in European option pricing," Post-Print halshs-00638450, HAL.

    Cited by:

    1. Sanvi Avouyi-Dovi & Julien Idier., 2010. "Central bank liquidity and market liquidity: the role of collateral provision on the French government debt securities market," Working papers 278, Banque de France.

  12. Caroline Jardet & Le Fol, G., 2007. "Euro money market interest rates dynamics and volatility: How they respond to recent changes in the operational framework," Working papers 167, Banque de France.

    Cited by:

    1. Beaupain, Renaud & Durré, Alain, 2016. "Excess liquidity and the money market in the euro area," Journal of Macroeconomics, Elsevier, vol. 47(PA), pages 33-44.
    2. Eleftherios Thalassinos & Konstantinos Liapis & John E. Thalassinos, 2011. "The Regulation Framework for the Banking Sector: The EMU, European Banks and Rating Agencies before and during the Recent Financial and Debt Crisis," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 1(39), pages 250-279.
    3. C. Emre Alper & R. Armando Morales & Fan Yang, 2017. "Monetary Policy Implementation and Volatility Transmission Along the Yield Curve: The Case of Kenya," South African Journal of Economics, Economic Society of South Africa, vol. 85(3), pages 455-478, September.
    4. John Thalassinos & Konstantinos Liapis, 2011. "Measuring a Bank’s Financial Health: A Case Study for the Greek Banking Sector," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 135-172.
    5. Osborne, Matthew, 2016. "Monetary policy and volatility in the sterling money market," Bank of England working papers 588, Bank of England.

  13. Jedrzej Białkowski & Serge Darolles & Gaëlle Le Fol, 2006. "Improving VWAP strategies: A dynamical volume approach," Documents de recherche 06-08, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.

    Cited by:

    1. Jedrzej Bialkowski & Serge Darolles & Gaëlle Le Fol, 2012. "Reducing the risk of VWAP orders execution - A new approach to modeling intra-day volume," Post-Print hal-01632822, HAL.
    2. Serge Darolles & Gaëlle Le Fol, 2014. "Trading Volume and Arbitrage," Post-Print hal-01632848, HAL.
    3. Ferriani, Fabrizio, 2010. "Informed and uninformed traders at work: evidence from the French market," MPRA Paper 24487, University Library of Munich, Germany.
    4. Andrew C. Meldrum & Oleg Sokolinskiy, 2025. "The Relationship between Market Depth and Liquidity Fragility in the Treasury Market," Finance and Economics Discussion Series 2025-014, Board of Governors of the Federal Reserve System (U.S.).
    5. Olivier Gu'eant & Guillaume Royer, 2013. "VWAP execution and guaranteed VWAP," Papers 1306.2832, arXiv.org, revised May 2014.
    6. Kosuke Tatsumura & Ryo Hidaka & Jun Nakayama & Tomoya Kashimata & Masaya Yamasaki, 2023. "Real-time Trading System based on Selections of Potentially Profitable, Uncorrelated, and Balanced Stocks by NP-hard Combinatorial Optimization," Papers 2307.06339, arXiv.org.
    7. Ito, R., 2016. "Spline-DCS for Forecasting Trade Volume in High-Frequency Finance," Cambridge Working Papers in Economics 1606, Faculty of Economics, University of Cambridge.
    8. Humphery-Jenner, M., 2011. "High Frequency Trading, Information, and Takeovers," Other publications TiSEM 0e6dd147-6f57-4f32-b265-f, Tilburg University, School of Economics and Management.
    9. Soohan Kim & Jimyeong Kim & Hong Kee Sul & Youngjoon Hong, 2023. "An Adaptive Dual-level Reinforcement Learning Approach for Optimal Trade Execution," Papers 2307.10649, arXiv.org.
    10. Darolles, Serge & Fol, Gaëlle Le & Mero, Gulten, 2015. "Measuring the liquidity part of volume," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 92-105.
    11. Humphery-Jenner, M., 2011. "High Frequency Trading, Information, and Takeovers," Discussion Paper 2011-047, Tilburg University, Center for Economic Research.
    12. Francesco Calvori & Fabrizio Cipollini & Giampiero M. Gallo, 2014. "Go with the Flow: A GAS model for Predicting Intra-daily Volume Shares," Econometrics Working Papers Archive 2014_01, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Feb 2014.
    13. Serge Darolles & Gaëlle Le Fol & Gulten Mero, 2016. "Mixture of distribution hypothesis: Analyzing daily liquidity frictions and information flows," Post-Print hal-04590596, HAL.
    14. Janzen, Joseph & Legrand, Nicolas, 2019. "Wheat Futures Trading Volume Forecasting and the Value of Extended Trading Hours," 2019 Annual Meeting, July 21-23, Atlanta, Georgia 290798, Agricultural and Applied Economics Association.
    15. Szűcs, Balázs Árpád, 2017. "Forecasting intraday volume: Comparison of two early models," Finance Research Letters, Elsevier, vol. 21(C), pages 249-258.
    16. Ye, Xunyu & Gao, Ping & Li, Handong, 2015. "Improving estimation of the fractionally differencing parameter in the SARFIMA model using tapered periodogram," Economic Modelling, Elsevier, vol. 46(C), pages 167-179.
    17. Andrew C. Meldrum & Oleg Sokolinskiy, 2023. "The Effects of Volatility on Liquidity in the Treasury Market," Finance and Economics Discussion Series 2023-028, Board of Governors of the Federal Reserve System (U.S.).
    18. Yang, Yaxing & Ling, Shiqing, 2017. "Self-weighted LAD-based inference for heavy-tailed threshold autoregressive models," Journal of Econometrics, Elsevier, vol. 197(2), pages 368-381.
    19. Olivier Guéant, 2016. "The Financial Mathematics of Market Liquidity: From Optimal Execution to Market Making," Post-Print hal-01393136, HAL.
    20. Ye Xunyu & Yan Rui & Li Handong, 2014. "Forecasting trading volume in the Chinese stock market based on the dynamic VWAP," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(2), pages 125-144, April.
    21. Miko{l}aj Bi'nkowski & Charles-Albert Lehalle, 2018. "Endogeneous Dynamics of Intraday Liquidity," Papers 1811.03766, arXiv.org.
    22. Nino Antulov-Fantulin & Tian Guo & Fabrizio Lillo, 2021. "Temporal mixture ensemble models for probabilistic forecasting of intraday cryptocurrency volume," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 905-940, December.
    23. Remi Genet, 2025. "Deep Learning for VWAP Execution in Crypto Markets: Beyond the Volume Curve," Papers 2502.13722, arXiv.org, revised Apr 2025.
    24. Roman Huptas, 2019. "Point forecasting of intraday volume using Bayesian autoregressive conditional volume models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(4), pages 293-310, July.
    25. Xiaodong Li & Pangjing Wu & Chenxin Zou & Qing Li, 2022. "Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization," Papers 2212.14670, arXiv.org.
    26. Dutt, Tanuj & Humphery-Jenner, Mark, 2013. "Stock return volatility, operating performance and stock returns: International evidence on drivers of the ‘low volatility’ anomaly," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 999-1017.
    27. Olivier Guéant & Royer Guillaume, 2014. "VWAP execution and guaranteed VWAP," Post-Print hal-01393121, HAL.
    28. Lei Li & Zhiyuan Zhang & Ruihan Bao & Keiko Harimoto & Xu Sun, 2022. "Distributional Correlation--Aware Knowledge Distillation for Stock Trading Volume Prediction," Papers 2208.07232, arXiv.org.
    29. Humphery-Jenner, M., 2011. "High Frequency Trading, Information, and Takeovers," Other publications TiSEM 30aa1477-0fb2-46ed-a5eb-f, Tilburg University, School of Economics and Management.
    30. Christopher Kath & Florian Ziel, 2020. "Optimal Order Execution in Intraday Markets: Minimizing Costs in Trade Trajectories," Papers 2009.07892, arXiv.org, revised Oct 2020.
    31. 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).
    32. Li, Yingying & Xie, Shangyu & Zheng, Xinghua, 2016. "Efficient estimation of integrated volatility incorporating trading information," Journal of Econometrics, Elsevier, vol. 195(1), pages 33-50.
    33. Fong, Kingsley Y.L. & Liu, Wai-Man, 2010. "Limit order revisions," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1873-1885, August.
    34. Alexander Malinowski & Martin Schlather & Zhengjun Zhang, 2016. "Intrinsically weighted means and non-ergodic marked point processes," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 68(1), pages 1-24, February.
    35. Enzo Busseti & Stephen Boyd, 2015. "Volume Weighted Average Price Optimal Execution," Papers 1509.08503, arXiv.org.
    36. Clements, Adam & Hurn, Stan & Volkov, Vladimir, 2021. "A simple linear alternative to multiplicative error models with an application to trading volume," Working Papers 2021-06, University of Tasmania, Tasmanian School of Business and Economics.
    37. Seung Hwan Jeong & Hee Soo Lee & Hyun Nam & Kyong Joo Oh, 2021. "Using a Genetic Algorithm to Build a Volume Weighted Average Price Model in a Stock Market," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    38. Alexander Buryak & Ivan Guo, 2014. "Effective and simple VWAP option pricing model," Papers 1407.7315, arXiv.org.
    39. Yuchen Fang & Kan Ren & Weiqing Liu & Dong Zhou & Weinan Zhang & Jiang Bian & Yong Yu & Tie-Yan Liu, 2021. "Universal Trading for Order Execution with Oracle Policy Distillation," Papers 2103.10860, arXiv.org.
    40. Humphery-Jenner, Mark L., 2011. "Optimal VWAP trading under noisy conditions," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2319-2329, September.
    41. Mariano González-Sánchez & Eva M. Ibáñez Jiménez & Ana I. Segovia San Juan, 2021. "Market and Liquidity Risks Using Transaction-by-Transaction Information," Mathematics, MDPI, vol. 9(14), pages 1-14, July.
    42. Gulten Mero & Serge Darolles & Gaëlle Le Fol, 2015. "Financial Market Liquidity: Who Is Acting Strategically?," THEMA Working Papers 2015-14, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.

  14. Serge Darolles & Gaëlle Le Fol, 2004. "Nouvelles techniques de gestion et leur impact sur la volatilité," Post-Print halshs-00586095, HAL.

    Cited by:

    1. Ana Morariu & Flavia Stoian & Ana Maria Marinoiu & Doina Crişan Hăbean, 2008. "Empirical Analysis Over The Evolution Of The Innovational Fixed Costs And Its Recognition In The Human Resources Orientated Environment," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(10), pages 1-3.

  15. Serge Darolles & Gaëlle Le Fol, 2003. "Trading Volume and Arbitrage," Working Papers 2003-46, Center for Research in Economics and Statistics.

    Cited by:

    1. Serge Darolles & Gaëlle Le Fol, 2004. "Nouvelles techniques de gestion et leur impact sur la volatilité," Revue d'Économie Financière, Programme National Persée, vol. 74(1), pages 231-243.
    2. Jedrzej Bialkowski & Serge Darolles & Gaëlle Le Fol, 2008. "Improving VWAP strategies: A dynamic volume approach," Post-Print halshs-00676946, HAL.
    3. Darolles, Serge & Fol, Gaëlle Le & Mero, Gulten, 2015. "Measuring the liquidity part of volume," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 92-105.
    4. Francesco Calvori & Fabrizio Cipollini & Giampiero M. Gallo, 2014. "Go with the Flow: A GAS model for Predicting Intra-daily Volume Shares," Econometrics Working Papers Archive 2014_01, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Feb 2014.
    5. Serge Darolles & Gaëlle Le Fol & Gulten Mero, 2016. "Mixture of distribution hypothesis: Analyzing daily liquidity frictions and information flows," Post-Print hal-04590596, HAL.
    6. Machado, André & Lima, Fabiano Guasti, 2021. "Sell-side analyst reports and decision-maker reactions: Role of heuristics," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    7. Roman Huptas, 2019. "Point forecasting of intraday volume using Bayesian autoregressive conditional volume models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(4), pages 293-310, July.
    8. Staer, Arsenio & Sottile, Pedro, 2018. "Equivalent volume and comovement," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 143-157.
    9. Jedrzej Bialkowski & Serge Darolles & Gaëlle Le Fol, 2005. "Decomposing Volume for VWAP Strategies," Working Papers 2005-16, Center for Research in Economics and Statistics.

  16. Cécile Boyer & Christian Gourieroux & Gaëlle Le Fol, 2001. "Ajustement des prix bid et ask en présence d'information privée," Working Papers 2001-25, Center for Research in Economics and Statistics.

    Cited by:

    1. Marc Fleurbaey, 2006. "Social welfare, priority to the worst-off and the dimensions of individual well-being," Post-Print hal-00246841, HAL.
    2. Robert Moffitt, 2001. "The Temporary Assistance for Needy Families Program," Economics Working Paper Archive 463, The Johns Hopkins University,Department of Economics.
    3. Boone, J. & Bovenberg, A.L., 2004. "The optimal taxation of unskilled labor with job search and social assistance," Other publications TiSEM 23eaec1d-2ceb-483e-98a9-e, Tilburg University, School of Economics and Management.
    4. Bargain, Olivier B., 2004. "Normative Evaluation of Tax Policies: From Households to Individuals," IZA Discussion Papers 1441, Institute of Labor Economics (IZA).
    5. Robert Moffitt, 2002. "Welfare Programs and Labor Supply," NBER Working Papers 9168, National Bureau of Economic Research, Inc.

  17. Gaëlle Le Fol & Serge Darolles & Christian Gourieroux, 1999. "Intraday Transaction Price Dynamics," Post-Print halshs-00536272, HAL.

    Cited by:

    1. Antonio A. F. Santos, 2021. "Bayesian Estimation for High-Frequency Volatility Models in a Time Deformed Framework," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 455-479, February.
    2. Hautsch, Nikolaus, 1999. "Analyzing the Time between Trades with a Gamma Compounded Hazard Model. An Application to LIFFE Bund Future Transactions," CoFE Discussion Papers 99/03, University of Konstanz, Center of Finance and Econometrics (CoFE).
    3. Edson Kambeu & Olipha Mpofu & Drayton Muchochoma, 2017. "Price Discovery and Volatility:A theoretical Approach," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 6(2), pages 37-43, April.
    4. Ola Simonsen, 2007. "An empirical model for durations in stocks," Annals of Finance, Springer, vol. 3(2), pages 241-255, March.
    5. Tina Hviid Rydberg & Neil Shephard, 2002. "Dynamics of trade-by-trade price movements: decomposition and models," OFRC Working Papers Series 2002fe04, Oxford Financial Research Centre.
    6. Hautsch, Nikolaus & Pohlmeier, Winfried, 2001. "Econometric Analysis of Financial Transaction Data: Pitfalls and Opportunities," CoFE Discussion Papers 01/05, University of Konstanz, Center of Finance and Econometrics (CoFE).
    7. GIOT, Pierre, 1999. "Time transformations, intraday data and volatility models," LIDAM Discussion Papers CORE 1999044, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    8. Joann Jasiak, 1996. "Persistence in Intertrade Durations," Working Papers 1999_8, York University, Department of Economics, revised Mar 1999.
    9. Simonsen, Ola, 2005. "An Empirical Model for Durations in Stocks," Umeå Economic Studies 657, Umeå University, Department of Economics.

  18. Gaëlle Le Fol & Christian Gourieroux, 1999. "Intra-day market activity," Post-Print halshs-00536268, HAL.

    Cited by:

    1. Ban Zheng & François Roueff & Frédéric Abergel, 2014. "Ergodicity and scaling limit of a constrained multivariate Hawkes process," Post-Print hal-00777941, HAL.
    2. VEREDAS, David & RODRIGUEZ-POO, Juan & ESPASA, Antoni, 2002. "On the (intradaily) seasonality and dynamics of a financial point process: a semiparametric approach," LIDAM Discussion Papers CORE 2002023, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Luc Bauwens & Pierre Giot & Joachim Grammig & David Veredas, 2000. "A Comparison of Financial Duration Models via Density Forecasts," Econometric Society World Congress 2000 Contributed Papers 0810, Econometric Society.
    4. Dirk Schiereck & Christian Voigt, 2010. "With or without you: market quality of floor trading when screen trading closes early," Review of Quantitative Finance and Accounting, Springer, vol. 34(2), pages 179-197, February.
    5. Chen, Richard Y. & Mykland, Per A., 2017. "Model-free approaches to discern non-stationary microstructure noise and time-varying liquidity in high-frequency data," Journal of Econometrics, Elsevier, vol. 200(1), pages 79-103.
    6. Jedrzej Bialkowski & Serge Darolles & Gaëlle Le Fol, 2012. "Reducing the risk of VWAP orders execution - A new approach to modeling intra-day volume," Post-Print hal-01632822, HAL.
    7. Christian M. Hafner, 2000. "Durations, Volume and the Prediction of Financial Returns in Transaction Time," Econometric Society World Congress 2000 Contributed Papers 0599, Econometric Society.
    8. Ferriani, Fabrizio, 2010. "Informed and uninformed traders at work: evidence from the French market," MPRA Paper 24487, University Library of Munich, Germany.
    9. Rama Cont & Adrien de Larrard, 2013. "Price Dynamics in a Markovian Limit Order Market," Post-Print hal-00552252, HAL.
    10. Elezovic, Suad, 2009. "Functional modelling of volatility in the Swedish limit order book," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2107-2118, April.
    11. Jedrzej Bialkowski & Serge Darolles & Gaëlle Le Fol, 2008. "Improving VWAP strategies: A dynamic volume approach," Post-Print halshs-00676946, HAL.
    12. Merrouche, Ouarda & Schanz, Jochen, 2009. "Banks' intraday liquidity management during operational outages: theory and evidence from the UK payment system," Bank of England working papers 370, Bank of England.
    13. Luc Bauwens & David Veredas, 2004. "The stochastic conditional duration model: a latent factor model for the analysis of financial durations," ULB Institutional Repository 2013/136234, ULB -- Universite Libre de Bruxelles.
    14. Alla A. Petukhina & Raphael C. G. Reule & Wolfgang Karl Hardle, 2020. "Rise of the Machines? Intraday High-Frequency Trading Patterns of Cryptocurrencies," Papers 2009.04200, arXiv.org.
    15. Humphery-Jenner, M., 2011. "High Frequency Trading, Information, and Takeovers," Other publications TiSEM 0e6dd147-6f57-4f32-b265-f, Tilburg University, School of Economics and Management.
    16. GIOT, Pierre & GRAMMIG, Joachim, 2006. "How large is liquidity risk in an automated auction market?," LIDAM Reprints CORE 1846, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    17. Christian Gourieroux & Gaëlle Le Fol, 1997. "Volatilités et mesures de risque," Post-Print halshs-00877048, HAL.
    18. Bauwens, Luc & Veredas, David, 2004. "The stochastic conditional duration model: a latent variable model for the analysis of financial durations," Journal of Econometrics, Elsevier, vol. 119(2), pages 381-412, April.
    19. Humphery-Jenner, M., 2011. "High Frequency Trading, Information, and Takeovers," Discussion Paper 2011-047, Tilburg University, Center for Economic Research.
    20. Fernandes, Marcelo & Grammig, Joachim, 2003. "Nonparametric specification tests for conditional duration models," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 502, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    21. Joann Jasiak & Christian Gourieroux, 2006. "Autoregressive gamma processes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(2), pages 129-152.
    22. Richard Y. Chen & Per A. Mykland, 2015. "Model-Free Approaches to Discern Non-Stationary Microstructure Noise and Time-Varying Liquidity in High-Frequency Data," Papers 1512.06159, arXiv.org, revised Oct 2018.
    23. Ye, Xunyu & Gao, Ping & Li, Handong, 2015. "Improving estimation of the fractionally differencing parameter in the SARFIMA model using tapered periodogram," Economic Modelling, Elsevier, vol. 46(C), pages 167-179.
    24. Zhang, Hanyu & Dufour, Alfonso, 2024. "Managing portfolio risk during crisis times: A dynamic conditional correlation perspective," The Quarterly Review of Economics and Finance, Elsevier, vol. 94(C), pages 241-251.
    25. Wong, Jian Cheng & Lian, Heng & Cheong, Siew Ann, 2009. "Detecting macroeconomic phases in the Dow Jones Industrial Average time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(21), pages 4635-4645.
    26. Adriana Bortoluzzo & Pedro Morettin & Clelia Toloi, 2010. "Time-varying autoregressive conditional duration model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(5), pages 847-864.
    27. Dionne, Georges & Duchesne, Pierre & Pacurar, Maria, 2005. "Intraday Value at Risk (IVaR) using tick-by-tick data with application to the Toronto Stock Exchange," Working Papers 05-9, HEC Montreal, Canada Research Chair in Risk Management.
    28. Francois-Éric Racicot & Raymond Théoret & Alain Coen, 2006. "Forecasting Irregularly Spaced UHF Financial Data: Realized Volatility vs UHF-GARCH Models," RePAd Working Paper Series UQO-DSA-wp152006, Département des sciences administratives, UQO.
    29. Pham, Thu Phuong & Singh, Harminder & Vu, Van Hoang, 2023. "The impact of bank loan announcements on stock liquidity," MPRA Paper 116398, University Library of Munich, Germany.
    30. Roman Huptas, 2019. "Point forecasting of intraday volume using Bayesian autoregressive conditional volume models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(4), pages 293-310, July.
    31. Joachim Grammig & Reinhard Hujer & Stefan Kokot, 2002. "Tackling Boundary Effects in Nonparametric Estimation of Intra-Day Liquidity Measures," Computational Statistics, Springer, vol. 17(2), pages 233-249, July.
    32. Szymon Stereńczak, 2021. "Minimum tick size reduction and stock liquidity: lessons from the Warsaw Stock Exchange," Bank i Kredyt, Narodowy Bank Polski, vol. 52(6), pages 545-576.
    33. Humphery-Jenner, M., 2011. "High Frequency Trading, Information, and Takeovers," Other publications TiSEM 30aa1477-0fb2-46ed-a5eb-f, Tilburg University, School of Economics and Management.
    34. Fernandes, Marcelo, 2004. "Bounds for the probability distribution function of the linear ACD process," Statistics & Probability Letters, Elsevier, vol. 68(2), pages 169-176, June.
    35. Hautsch, Nikolaus & Pohlmeier, Winfried, 2001. "Econometric Analysis of Financial Transaction Data: Pitfalls and Opportunities," CoFE Discussion Papers 01/05, University of Konstanz, Center of Finance and Econometrics (CoFE).
    36. Magdalena Osinska & Andrzej Dobrzynski & Yochanan Shachmurove, 2016. "Performance Of American And Russian Joint Stock Companies On Financial Market. A Microstructure Perspective," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(4), pages 819-851, December.
    37. Ghysels, Eric & Gourieroux, Christian & Jasiak, Joann, 2004. "Stochastic volatility duration models," Journal of Econometrics, Elsevier, vol. 119(2), pages 413-433, April.
    38. Li, Yingying & Xie, Shangyu & Zheng, Xinghua, 2016. "Efficient estimation of integrated volatility incorporating trading information," Journal of Econometrics, Elsevier, vol. 195(1), pages 33-50.
    39. Eom, Kyong Shik & Ok, Jinho & Park, Jong-Ho, 2007. "Pre-trade transparency and market quality," Journal of Financial Markets, Elsevier, vol. 10(4), pages 319-341, November.
    40. Vladimir Benic & Ivna Franic, 2008. "Stock Market Liquidity: Comparative Analysis of Croatian and Regional Markets," Financial Theory and Practice, Institute of Public Finance, vol. 32(4), pages 477-498.
    41. GIOT, Pierre, 1999. "Time transformations, intraday data and volatility models," LIDAM Discussion Papers CORE 1999044, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    42. Gerhard, Frank & Hautsch, Nikolaus, 2002. "Volatility estimation on the basis of price intensities," Journal of Empirical Finance, Elsevier, vol. 9(1), pages 57-89, January.
    43. Matei Demetrescu, 2007. "Volatility Clustering in High-Frequency Data: A self-fulfilling prophecy?," Economics Bulletin, AccessEcon, vol. 7(15), pages 1-8.
    44. Rama Cont & Adrien De Larrard, 2011. "Price dynamics in a Markovian limit order market," Papers 1104.4596, arXiv.org.
    45. Ban Zheng & Franc{c}ois Roueff & Fr'ed'eric Abergel, 2013. "Ergodicity and scaling limit of a constrained multivariate Hawkes process," Papers 1301.5007, arXiv.org, revised Feb 2014.
    46. Jedrzej Bialkowski & Serge Darolles & Gaëlle Le Fol, 2005. "Decomposing Volume for VWAP Strategies," Working Papers 2005-16, Center for Research in Economics and Statistics.
    47. James McCulloch & Vladimir Kazakov, 2007. "Optimal VWAP Trading Strategy and Relative Volume," Research Paper Series 201, Quantitative Finance Research Centre, University of Technology, Sydney.
    48. Joann Jasiak, 1996. "Persistence in Intertrade Durations," Working Papers 1999_8, York University, Department of Economics, revised Mar 1999.
    49. Martin D. Gould & Mason A. Porter & Sam D. Howison, 2015. "Quasi-Centralized Limit Order Books," Papers 1502.00680, arXiv.org, revised Oct 2016.
    50. Gao, Xuefeng & Zhu, Lingjiong, 2018. "Limit theorems for Markovian Hawkes processes with a large initial intensity," Stochastic Processes and their Applications, Elsevier, vol. 128(11), pages 3807-3839.

  19. Gaëlle Le Fol & Mercier Ludovic, 1998. "Time Deformation: Definition and Comparisons," Post-Print halshs-00586097, HAL.

    Cited by:

    1. Antonio A. F. Santos, 2021. "Bayesian Estimation for High-Frequency Volatility Models in a Time Deformed Framework," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 455-479, February.
    2. Jedrzej Bialkowski & Serge Darolles & Gaëlle Le Fol, 2008. "Improving VWAP strategies: A dynamic volume approach," Post-Print halshs-00676946, HAL.
    3. Francesco Mainardi & Marco Raberto & Rudolf Gorenflo & Enrico Scalas, 2000. "Fractional calculus and continuous-time finance II: the waiting-time distribution," Papers cond-mat/0006454, arXiv.org, revised Nov 2000.
    4. James McCulloch, 2012. "Fractal Market Time," Research Paper Series 311, Quantitative Finance Research Centre, University of Technology, Sydney.
    5. McCulloch, James, 2012. "Fractal market time," Journal of Empirical Finance, Elsevier, vol. 19(5), pages 686-701.
    6. Gunther Capelle-Blancard & Séverine Vandelanoite, 2000. "Intraday relations between CAC 40 cash index and CAC 40 index options [Relations intrajournalières entre l'indice CAC 40 et les options sur indice. Quel est le marché préféré des investisseurs info," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03727911, HAL.
    7. Capelle-Blancard, G. & Vandelanoite, S., 2000. "Relations intrajournalieres entre l'indice CAC 40 et les options sur indice. Quel est le marche prefere des investisseurs informes ?," Papiers d'Economie Mathématique et Applications 2000.110, Université Panthéon-Sorbonne (Paris 1).
    8. Malick Fall, 2025. "Portfolio optimization in deformed time," Journal of Asset Management, Palgrave Macmillan, vol. 26(2), pages 176-185, March.
    9. GIOT, Pierre, 1999. "Time transformations, intraday data and volatility models," LIDAM Discussion Papers CORE 1999044, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    10. D. Guegan & L. Mercier, 2005. "Prediction in chaotic time series: methods and comparisons with an application to financial intra-day data," The European Journal of Finance, Taylor & Francis Journals, vol. 11(2), pages 137-150.

  20. Gaëlle Le Fol & Christian Gourieroux, 1998. "Effet des Modes de Négociation sur les Echanges," Post-Print halshs-00536273, HAL.

    Cited by:

    1. Uctum, Remzi & Renou-Maissant, Patricia & Prat, Georges & Lecarpentier-Moyal, Sylvie, 2017. "Persistence of announcement effects on the intraday volatility of stock returns: Evidence from individual data," Review of Financial Economics, Elsevier, vol. 35(C), pages 43-56.
    2. Sylvie Lecarpentier-Moyal & Georges Prat & Patricia Renou-Maissant & Remzi Uctum, 2013. "Persistence of announcement effects on the intraday volatility of stock returns: evidence from individual data," Working Papers hal-04141172, HAL.
    3. Jedrzej Bialkowski & Serge Darolles & Gaëlle Le Fol, 2005. "Decomposing Volume for VWAP Strategies," Working Papers 2005-16, Center for Research in Economics and Statistics.

Articles

  1. Darolles, Serge & Le Fol, Gaëlle & Mero, Gulten, 2017. "Mixture of distribution hypothesis: Analyzing daily liquidity frictions and information flows," Journal of Econometrics, Elsevier, vol. 201(2), pages 367-383.
    See citations under working paper version above.
  2. Caroline Jardet & Gaelle Le Fol, 2010. "Euro money market interest rate dynamics and volatility: how they respond to recent changes in the operational framework," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 316-330.
    See citations under working paper version above.
  3. Bialkowski, Jedrzej & Darolles, Serge & Le Fol, Gaëlle, 2008. "Improving VWAP strategies: A dynamic volume approach," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1709-1722, September.
    See citations under working paper version above.
  4. Idier, J. & Jardet, C. & Le Fol, G. & Monfort, A. & Pegoraro, J., 2008. "Taking into account extreme events in European option pricing," Financial Stability Review, Banque de France, issue 12, pages 39-51, October.
    See citations under working paper version above.
  5. Serge Darolles & Gaëlle Le Fol, 2004. "Nouvelles techniques de gestion et leur impact sur la volatilité," Revue d'Économie Financière, Programme National Persée, vol. 74(1), pages 231-243.
    See citations under working paper version above.
  6. Serge Darolles & Christian Gouriéroux & Gaëlle Le Fol, 2000. "Intraday Transaction Price Dynamics," Annals of Economics and Statistics, GENES, issue 60, pages 207-238.
    See citations under working paper version above.
  7. Gourieroux, Christian & Jasiak, Joanna & Le Fol, Gaelle, 1999. "Intra-day market activity," Journal of Financial Markets, Elsevier, vol. 2(3), pages 193-226, August.
    See citations under working paper version above.
  8. Christian Gouriéroux & Gaëlle Le Fol, 1998. "Effet des modes de négociation sur les échanges," Revue Économique, Programme National Persée, vol. 49(3), pages 795-808.
    See citations under working paper version above.Sorry, no citations of articles recorded.

Chapters

  1. Serge Darolles & Jérémy Dudek & Gaëlle Le Fol, 2015. "Contagion in Emerging Markets," Palgrave Macmillan Books, in: Nigel Finch (ed.), Emerging Markets and Sovereign Risk, chapter 3, pages 45-58, Palgrave Macmillan.
    See citations under working paper version above.Sorry, no citations of chapters recorded.

Books

    Sorry, no citations of books recorded.
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