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Distortion Prediction Model of Enterprise Accounting Information Based on the Principal Components

机译:基于主成分的企业会计信息失真预测模型

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The identification of enterprise accounting information distortion is one of the difficult problems of financial research at home and abroad. This paper uses principal component analysis of multivariate statistical analysis method, establishes a prediction of enterprise accounting information distortion of the new model -- the principal component forecast model, and the Shanghai and Shenzhen two city annual report issued by accounting firm "negative opinion" or "declined to comment" listing corporation is defined as "the distortion of accounting information, enterprises" selection 44 the distortion of accounting information of enterprises and should be relatively with the 44 non distortion of accounting information in enterprises total 88 companies as the research sample, the author makes an empirical test on the main components of listing corporation accounting information distortion prediction model. At 1, the distortion of accounting information refers to accounting information doesn't reflect the real economic activities. Public accounting information distortion of the inevitable consequence of the decision to the relevant interest groups related to the adverse effects.
机译:企业会计信息失真的识别是国内外金融研究的难题之一。本文采用了多元统计分析方法的主要成分分析,建立了新模型的企业会计信息失真预测 - 主要成分预测模型,上海和深圳两个城市年度报告,核算公司“负面意见”或“拒绝发表评论”上市公司被定义为“会计信息的扭曲,企业”选择44企业会计信息的扭曲,应该相对44在企业中的44个非扭曲的会计信息88家公司作为研究样本,作者对清单公司会计信息失真预测模型的主要组成部分进行了实证测试。在1,会计信息的扭曲是指会计信息不反映实际的经济活动。公共会计信息扭曲与不良反应相关的相关利益集团的决定的必然结果。

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