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基于序化机理的稳健型股票价值投资决策——一个研究框架 被引量:3

Research on Robust Stock Value Investing Decision Making :An Research Framework
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摘要 面对资本市场风险加剧的现实背景,以"公司经营业绩与股票市场业绩一致趋优"为稳健型投资的核心要素,立足于区间数据表示、会计信息度量两个关键要素,开展稳健型股票价值投资的多准则决策建模研究。面向稳健型投资决策目标,提出满足"稳健性""局部性""全局性"3个特性的序化机理,围绕关键特征选择、特征评价、全序化建模的主体脉络建立系统性多准则决策方法,进而构建"稳健型股票价值投资决策"的研究框架。 In the practical background of the exacerbated capital market risk, this paper develops a multiple criteria decision making model focusing on the essential factor of consistent excellence between firm's operating performance and market success on the basis of interval data representation and accounting information measurement. Taking the feature of robustness into consideration, a ranking mechanism is proposed based on the characteristics of "robust, localized and overall". Based on the main skeleton of feature selection, feature evaluation and complete ranking modeling, this paper presents a systematic multiple criteria decision making method and further establishes the research framework of robust stock value investing decision making.
出处 《北京理工大学学报(社会科学版)》 CSSCI 2016年第3期75-83,共9页 Journal of Beijing Institute of Technology:Social Sciences Edition
基金 国家自然科学基金重点资助项目(71031006) 国家自然科学基金青年项目(71301090) 教育部人文社会科学研究青年基金资助项目(12YJC630174) 山西省高等学校创新人才支持计划资助项目(2013052006)
关键词 多准则决策 价值投资 稳健型 区间数据 序化机理 multiple criteria decision making value investing robust interval data ranking mechanism
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