An ordered probit model of Morningstar individual stock ratings

R. Brooks, S. Naylor
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引用次数: 6

Abstract

This article analyses the overall ratings given to individual companies listed in the ‘Morningstar Stocks 2005’, using information provided on the company in that publication. We conduct our analysis using an ordered probit model. We find that the moat size and business risk variables identified by Morningstar are important determinants of ratings. However, we find that the style box variables are insignificant.
晨星个股评级的有序概率模型
本文使用“晨星股票2005”中提供的公司信息,分析了对该出版物中列出的个别公司的总体评级。我们使用有序概率模型进行分析。我们发现,晨星公司确定的护城河规模和企业风险变量是评级的重要决定因素。然而,我们发现样式框变量是不重要的。
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