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Empirical Portfolio Selection Strategies With Proportional Transaction Costs

机译:具有比例交易成本的经验投资组合选择策略

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Discrete time growth optimal investment in stock markets with proportional transactions costs is considered. The market process is modeled by a first-order Markov process. Not assuming that the distribution of the market process is known, we show empirical investment strategies such that, in the long run, the growth rate on trajectories achieves the maximum with probability 1.
机译:考虑了离散时间增长,具有成比例交易成本的股票市场最佳投资。市场过程由一阶马尔可夫过程建模。不假设市场过程的分布已知,我们将展示经验投资策略,以便从长远来看,轨迹的增长率以概率1达到最大值。

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