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18 March 2025
 
  » arxiv » 1605.0788

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Online Learning of Commission Avoidant Portfolio Ensembles
Guy Uziel ; Ran El-Yaniv ;
Date 3 May 2016
AbstractWe present a novel online ensemble learning strategy for portfolio selection. The new strategy controls and exploits any set of commission-oblivious portfolio selection algorithms. The strategy handles transaction costs using a novel commission avoidance mechanism. We prove a logarithmic regret bound for our strategy with respect to optimal mixtures of the base algorithms. Numerical examples validate the viability of our method and show significant improvement over the state-of-the-art.
Source arXiv, 1605.0788
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