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Relationship Between Management Policies and Profitability for Second Section-Listed Manufacturing Companies of the Tokyo Stock Exchange (2016 Results)

机译:东京证券交易所第二部分上市制造公司管理政策与盈利能力的关系(2016年结果)

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In this paper, we try to analyze the relationship between companies' management policies and profitability. Management policies are very important guidelines for companies, because they include matters regarded as important to the business, its founding spirit, company motto, and so on. Therefore, we consider that management policies affect profitability. Data on management policies and profitability (measured by return on assets (ROA)) were gathered from annual securities reports because their descriptions are accurate and the reports are easy to obtain. As management policies were written in natural language and the data to be analyzed becomes complex, a neural computational method known as "potential learning" which can interpret internal representations, was used. As a result, we found that the generalization performance of the model was 0.5938 (accuracy) and management policies included the words related to "Place - institution" and "Number", which may affect ROA.
机译:在本文中,我们试图分析公司管理政策与盈利之间的关系。管理政策是公司的非常重要的指导方针,因为它们包括对业务,其创始精神,公司座右铭等重要事项。因此,我们认为管理政策会影响盈利能力。有关管理政策和盈利能力的数据(通过资产返回(ROA)计量)从年度证券报告中收集,因为他们的描述是准确的,并且报告很容易获得。由于管理政策以自然语言编写,并且要分析的数据变得复杂,因此使用了一种神经计算方法,称为可以解释内部表示的“潜在学习”。结果,我们发现该模型的泛化性能为0.5938(准确性),管理政策包括与“地方 - 机构”和“数字”相关的词,这可能会影响ROA。

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