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A new approach to robust modeling of the multi-period portfolio problem

机译:对多期投资组合问题进行鲁棒建模的新方法

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In this paper, we developed a new robust model of multi-period portfolio problem. One of the key concerns in any asset allocation problem is how to cope with uncertainty about future returns. There are some approaches in the literature for this purpose including stochastic programming and robust optimization. Applying these techniques to multi-period portfolio problem may increase the problem size in a way that the resulting model is intractable. In this paper, we proposed a novel approach to formulate multi-period portfolio problem as an uncertain linear program assuming that asset return follows the single-index factor model. We also used robust optimization technique to solve the resulted problem. In order to evaluate the performance of the proposed model, we applied a numerical example using simulated data.
机译:在本文中,我们开发了一种新的健壮的多期投资组合问题模型。任何资产分配问题中的关键问题之一就是如何应对未来收益的不确定性。为此,文献中有一些方法,包括随机编程和鲁棒优化。将这些技术应用于多期投资组合问题可能会增加问题的规模,从而导致最终模型难以处理。在本文中,我们提出了一种新颖的方法来将多期投资组合问题表述为不确定的线性程序,假设资产收益遵循单指标因子模型。我们还使用了鲁棒的优化技术来解决所产生的问题。为了评估所提出模型的性能,我们使用了一个使用模拟数据的数值示例。

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