A model for optimal execution of atomic orders
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DOI: 10.1007/s10589-009-9245-6
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References listed on IDEAS
- Jean-Philippe Bouchaud & Yuval Gefen & Marc Potters & Matthieu Wyart, 2004. "Fluctuations and response in financial markets: the subtle nature of 'random' price changes," Quantitative Finance, Taylor & Francis Journals, vol. 4(2), pages 176-190.
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"Fluctuations and response in financial markets: the subtle nature of `random' price changes,"
Papers
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Cited by:
- Ponta, Linda & Trinh, Mailan & Raberto, Marco & Scalas, Enrico & Cincotti, Silvano, 2019.
"Modeling non-stationarities in high-frequency financial time series,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 173-196.
- Linda Ponta & Mailan Trinh & Marco Raberto & Enrico Scalas & Silvano Cincotti, 2012. "Modeling non-stationarities in high-frequency financial time series," Papers 1212.0479, arXiv.org, revised Feb 2017.
- Miles Kumaresan & Nataša Krejić, 2015. "Optimal trading of algorithmic orders in a liquidity fragmented market place," Annals of Operations Research, Springer, vol. 229(1), pages 521-540, June.
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Keywords
Nonlinear programming; Convex programming; Optimal execution strategy; Algorithmic trading;All these keywords.
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