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Optimization of a long-short portfolio under nonconvex transaction cost

机译:非凸交易成本下的多空投资组合优化

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摘要

The purpose of this paper is to propose a practical branch and bound algorithm for solving a class of long-short portfolio optimization problem with concave and d.c. transaction cost and complementarity conditions on the variables.We will show that this algorithm can solve a problem of practical size and that the long-short strategy leads to a portfolio with significantly better risk-return structure compared with standard purchase only portfolio both in terms of ex-ante and ex-post performance.
机译:本文的目的是提出一种实用的分支定界算法,以解决一类具有凹面和d.c的长短组合优化问题。交易成本和变量的互补条件。我们将证明,该算法可以解决实际规模的问题,而多空策略导致的投资组合与仅购买标准投资组合相比具有明显更好的风险收益结构事前和事后表现。

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