Optimal control of Execution Costs for Portfolios
Dimitris Bertsimas, Andrew W Lo and Paul Hummel
Undated
Abstract
The authors apply stochastic dynamic programming to derive trading strategies that minimize the expected costs of executing a portfolio of securities over a fixed time period. They test their strategies using real-world stock data. For more information about this article and other related articles click
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