聚类分析在证券投资中的应用
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F830.91

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世川良一基金资助


Application of Cluster Analysis in Stock Investment
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    摘要:

    聚类分析在证券投资方面的研究有很大的发掘空间。笔者将聚类分析方法引入到证券投资分析中,对股票的行业因素,公司因素,收益性,成长性等基本层面进行考察,建立了较为全面的综合评价指标体系,衡量样本股票的“相似程度”,然后通过聚类分析模型来确定投资范围和投资价值。结果表明该方法能帮助投资者准确地了解和把握股票的总体特性,预测股票的发展潜力,并通过类的总体价格水平来预测股票价格的变动趋势,选择有利的投资时机,实证研究表明该方法对指导证券投资具有有效性和实用性。

    Abstract:

    The primary methods of stock investment analysis are fundamental analysis ,technic analsis and portfolio investment analysis.Based on analyzing the applicability and limitation of these methods, the paper is applying the cluster analysis in the stock investment, and pointing out it is a feasible and effective way to give advices to stock investment. Cluster analysis firstly looks into the industry factor, company factor, profitability and pullulation of each stock, so people can discover the investment value through stock'immanent value which is decided by their fundamental characters.To gather the similar stocks,a synthetic evaluation index system is erected to measure the similarity of stock all-roundly and objectively. Cluster analysis can help investors hold the whole character of stocks, make certain of investing scale and suppose the possible variation of stock price.So it will be easier for investors to choose investing occasion.

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周焯华 陈文南 等.聚类分析在证券投资中的应用[J].重庆大学学报,2002,25(7):122-126.

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  • 最后修改日期:2002-01-10
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