基于聚类分析和因子分析的股票型基金绩效评价

Bingtao Gao, Zhengang Zhai, Lei Wang, Yinjie Wang, Li Zhang, Nannan Wu, Xusheng Fang, Biao Wang, Jianbo Xu
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引用次数: 0

摘要

基金业绩是基金投资决策的重要依据。国外证券市场和证券投资基金发展相对较早,早在20世纪60年代,研究者就从不同角度和方面提出了许多评价基金业绩的指标和模型,包括T-M模型、H-M模型、三因素模型和改进的四因素模型。美国作为世界上最成熟的国家,在基金绩效评价方面做了大量的实证研究。大多数研究表明,由于选股能力和择时能力等诸多因素的影响,基金无法显著战胜市场。本文在筛选国际上各种研究成果的基础上,结合国内基金市场的实际情况,选取净收益率、锐指数、市场风险、择时能力和选股能力5个指标,建立相应的数学模型,运用聚类分析和因子分析的方法对基金绩效进行评价,并对模型进行检验和分析。实验结果表明,本文提出的方法具有良好的评价性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Evaluation of Stock Funds Based on Cluster Analysis and Factor Analysis
Fund performance is an important basis for fund investment decisions. Foreign securities markets and securities investment funds developed relatively early, in the 1960s, researchers have put forward many indicators and models to evaluate fund performance from different angles and aspects, includes T-M model, H-M model, three factor model and improved four factor model. As the most mature country in the world, the United States has done a lot of empirical research on fund performance evaluation. Most of the studies show that the fund can not significantly overcome the market due to the influence of many factors such as stock selection ability and timing ability. On the basis of screening all kinds of international research results, combined with the actual situation of domestic fund market, this paper selects five indexes, including net return rate, sharp index, market risk, timing ability and stock selection ability, to establish the corresponding mathematical model, and uses the method of cluster analysis and factor analysis to evaluate the performance of fund, and the model is tested and analyzed. The experimental results show that the method proposed in this paper has good evaluation performance.
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