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Maximizing portfolio diversification benefit via extended mean-variance model

机译:通过扩展平均值模型最大化产品组合多样化效益

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Stock market fluctuation is very challenging to investors. They have to make important decision regarding dollar and cent in uncertain environment. Therefore the study has introduced a model to present the uncertainty in stock returns. The model was derived by incorporating the MV model and the VBS fuzzy model. Using fuzzy approach, the study introduced an extended MV model. To investigate the effectiveness of the extended MV model, the study has tested the model in 10 types of portfolios involving 300 listed companies in Bursa Malaysia from 1998 to 2009. Portfolio superiority then being examined by using the efficient frontier index (EFI). Empirical evidence revealed that the extended MV model is able to maximize portfolio's diversification benefit in the Malaysian stock market compared to the conventional MV and the VBS fuzzy models. The result provides on how the Malaysian investors could improve on their investment strategy. This study is perhaps one of the first to address portfolio diversification benefit using the extended mean-variance model in the Malaysian stock market.
机译:股市波动对投资者来说非常挑战。他们必须在不确定环境中对美元和成本作出重要决定。因此,该研究介绍了一个模型,以呈现出资回报的不确定性。通过结合MV模型和VBS模糊模型来导出模型。使用模糊方法,该研究引入了一个扩展的MV模型。为了调查扩展MV模型的有效性,该研究已经测试了10种涉及1998年至2009年Bursa Malaysia的300多家公司投资组合的型号。然后通过使用高效的前沿指数(EFI)进行投资组合优势。实证证据表明,与传统的MV和VBS模糊模型相比,扩展MV模型能够最大化产品中的多样化效益。结果提供了马来西亚投资者如何改善其投资策略。本研究可能是第一个解决投资组合多样化利益的首次使用马来西亚股市中的延长平均方差模型。

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