2020
DOI: 10.1016/j.physa.2019.122848
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David vs Goliath (You against the Markets), A dynamic programming approach to separate the impact and timing of trading costs

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Cited by 4 publications
(1 citation statement)
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“…the speed of recovery of supply/demand after a trade) to executed trades as part of an execution strategy (Alfonsi, Fruth, & Schied, 2010;Obizhaeva & Wang, 2013;Siu, Guo, Zhu, & Elliott, 2019;Tsoukalas et al, 2019). Furthermore, Kashyap (2020) splits the execution cost into market impact (price impact due to the executed trade) and market timing (price movement due to other traders during the trade duration) and suggests a stochastic dynamic programming approach to solve numerically for optimal execution strategies.…”
Section: Introductionmentioning
confidence: 99%
“…the speed of recovery of supply/demand after a trade) to executed trades as part of an execution strategy (Alfonsi, Fruth, & Schied, 2010;Obizhaeva & Wang, 2013;Siu, Guo, Zhu, & Elliott, 2019;Tsoukalas et al, 2019). Furthermore, Kashyap (2020) splits the execution cost into market impact (price impact due to the executed trade) and market timing (price movement due to other traders during the trade duration) and suggests a stochastic dynamic programming approach to solve numerically for optimal execution strategies.…”
Section: Introductionmentioning
confidence: 99%