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Linear Versus Quadratic Portfolio Optimization Model with Transaction Cost

机译:线性与交易成本的二次组合优化模型

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Optimization model is introduced to become one of the decision making tools in investment. Hence, it is always a big challenge for investors to select the best model that could fulfill their goal in investment with respect to risk and return. In this paper we aims to discuss and compare the portfolio allocation and performance generated by quadratic and linear portfolio optimization models namely of Markowitz and Maximin model respectively. The application of these models has been proven to be significant and popular among others. However transaction cost has been debated as one of the important aspects that should be considered for portfolio reallocation as portfolio return could be significantly reduced when transaction cost is taken into consideration. Therefore, recognizing the importance to consider transaction cost value when calculating portfolio' return, we formulate this paper by using data from Shariah compliant securities listed in Bursa Malaysia. It is expected that, results from this paper will effectively justify the advantage of one model to another and shed some lights in quest to find the best decision making tools in investment for individual investors.
机译:介绍了优化模型成为投资中的决策工具之一。因此,投资者选择最佳模型始终是一个可能履行其在投资方面的最佳模型以及风险和回报的最佳模型。在本文中,我们旨在分别讨论并比较二次和线性产品组合优化模型的组合分配和性能,即Markowitz和Maximin模型。这些模型的应用已被证明是重要的,并且在其他模型中受欢迎。然而,交易成本已被争议为应考虑投资组合重新分配的重要方面之一,因为在考虑交易成本时,可以大大减少投资组合重新分配。因此,认识到在计算投资组合的返回时要考虑交易成本价值的重要性,我们通过使用Bursa Malaysia中列出的符合Shariah兼容证券的数据制定本文。预计本文的结果将有效地向另一个模型的优势有效地证明了一个模型的优势,并揭示了寻求为个人投资者投资的最佳决策工具。

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