多标准投资组合选择问题:稳健的资产配置

Q4 Business, Management and Accounting International Journal of Multicriteria Decision Making Pub Date : 2016-07-25 DOI:10.1504/IJMCDM.2016.077870
Daniel Yanushevsky, R. Yanushevsky
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引用次数: 1

摘要

本文展示了如何克服使用现代投资组合理论结果与高维相关的实际困难,以及关于输入参数的可用信息不足,这些因素使最优解不具鲁棒性。修正的均值方差优化模型表明,马科维茨的投资组合是可以改进的。将广义最优投资组合问题表述为一个多准则问题。考虑了所选标准的线性卷积的性能指标。在允许净卖空的假设下给出了闭型解。与应用于投资组合选择问题的几种已知的纯数学正则化方法相比,所考虑的投资组合模型包括投资组合证券在特定时期内的平均交易量,以其总浮动股票数量的百分比来衡量,这用于根据其潜在的价格增长来量化投资组合的组成部分。所提供的附加标准具有明确的经济解释,允许投资者构建比均值-方差投资组合更稳健的投资组合。
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Multicriteria portfolio selection problem: robust assets allocation
The paper shows how to overcome practical difficulties of using the results of modern portfolio theory linked with high dimensions and the insufficient amount of information available about the input parameters, the factors that make the optimal solution unrobust. The modified mean-variance optimisation model shows that Markowitz's portfolio can be improved. The generalised optimal portfolio problem is formulated as a multicriteria problem. The performance index that presents linear convolution of the chosen criteria is considered. The closed-form solution is given under assumption that net short sales are allowed. In contrast to several known pure mathematical regularisation approaches applied to the portfolio selection problem, the considered portfolio model includes the average trading volume of shares of the portfolio's security for a specified period of time measured as a percentage of its total float number of shares, which is used to quantify the portfolio's components based on their potential price increase. The offered additional criterion, which has a clear economic interpretation allows investors to build portfolios that are more robust compared to mean-variance portfolios.
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来源期刊
International Journal of Multicriteria Decision Making
International Journal of Multicriteria Decision Making Business, Management and Accounting-Strategy and Management
CiteScore
0.70
自引率
0.00%
发文量
9
期刊介绍: IJMCDM is a scholarly journal that publishes high quality research contributing to the theory and practice of decision making in ill-structured problems involving multiple criteria, goals and objectives. The journal publishes papers concerning all aspects of multicriteria decision making (MCDM), including theoretical studies, empirical investigations, comparisons and real-world applications. Papers exploring the connections with other disciplines in operations research and management science are particularly welcome. Topics covered include: -Artificial intelligence, evolutionary computation, soft computing in MCDM -Conjoint/performance measurement -Decision making under uncertainty -Disaggregation analysis, preference learning/elicitation -Group decision making, multicriteria games -Multi-attribute utility/value theory -Multi-criteria decision support systems and knowledge-based systems -Multi-objective mathematical programming -Outranking relations theory -Preference modelling -Problem structuring with multiple criteria -Risk analysis/modelling, sensitivity/robustness analysis -Social choice models -Theoretical foundations of MCDM, rough set theory -Innovative applied research in relevant fields
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