Lauren Dal Bem Venturini, Márcia Bianchi, V. Machado, Edilson Paulo
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The debate on the auditor-analyst relationship is also widened, specifically regarding the utility of KAMs for financial analysts, in terms of them considering using this information in their projections for the analyzed companies, thus reinforcing the search for their improvement by the regulator. The analysis was conducted based on generalized least squares (GLS) and quantile regressions covering 137 non-financial companies, using data from (quarterly and annual) analysts’ forecasts available from Thomson Reuters Eikon® and financial information from Economatica®. In general, the quantity and content of the items reported as KAMs were revealed to be significant in relation to the analysts’ earnings per share forecasts and to their forecasting error, revealing a reduction in asymmetry. 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引用次数: 1
摘要
摘要本文旨在分析独立审计报告(IAR)中关键审计事项(KAMs)的信息内容与B3 S.A. - Brasil, Bolsa, balc (B3)上市公司财务分析师预测之间的关系。从独立审计师的角度来看,调查kam相关性的研究并没有分析有关被审计公司的增量信息,这些信息可能会影响金融分析师的预测。本研究的结果表明,报告的KAMs为金融分析师提供了有关被审计公司的相关信息内容,从而提高了他们预测的质量。此外,在分位数分析中观察到,KAMs有助于分析师预测的微调。关于审计师-分析师关系的争论也扩大了,特别是关于KAMs对金融分析师的效用,因为他们考虑在对被分析公司的预测中使用这些信息,从而加强了监管机构对其改进的寻求。该分析基于广义最小二乘(GLS)和分位数回归,涵盖137家非金融公司,使用汤森路透Eikon®提供的(季度和年度)分析师预测数据和Economatica®的财务信息。一般来说,作为KAMs报告的项目的数量和内容与分析师的每股收益预测及其预测误差相关,显示出不对称性的减少。因此,KAMs的信息价值越高,该信息的质量越好,有助于形成盈利预测共识,并最大限度地减少财务分析师估计的误差。此外,我们还观察到,KAMs的披露并没有立即反映在其披露后一个季度的盈利预测中,其信息内容在下一个财政期间被稀释,从而影响了年度盈利预测。
Informational content of key audit matters and financial analysts’ forecasts
Abstract The aim of this article was to analyze the relationship between the informational content of the key audit matters (KAMs) reported in the Independent Audit Report (IAR) and financial analysts’ forecasts for the companies listed on the B3 S.A. - Brasil, Bolsa, Balcão (B3). The research that has investigated the relevance of KAMs has not analyzed the incremental information about the audited firm, from the independent auditor’s viewpoint, that can affect financial analysts’ forecasts. The findings of this research reveal that the KAMs reported present relevant informational content about the audited firm for financial analysts, thus improving the quality of their forecasts. In addition, it was observed in the quantile analysis that the KAMs contribute to the fine tuning of analysts’ forecasts. The debate on the auditor-analyst relationship is also widened, specifically regarding the utility of KAMs for financial analysts, in terms of them considering using this information in their projections for the analyzed companies, thus reinforcing the search for their improvement by the regulator. The analysis was conducted based on generalized least squares (GLS) and quantile regressions covering 137 non-financial companies, using data from (quarterly and annual) analysts’ forecasts available from Thomson Reuters Eikon® and financial information from Economatica®. In general, the quantity and content of the items reported as KAMs were revealed to be significant in relation to the analysts’ earnings per share forecasts and to their forecasting error, revealing a reduction in asymmetry. Thus, the higher the informational value of the KAMs, the better the quality of that information is, contributing to forming an earnings forecast consensus and minimizing the error in the financial analysts’ estimates. In addition, it was observed that the disclosure of KAMs has no immediate reflection in the earnings forecast in the quarter following their disclosure, with their informational content being diluted over the following financial period, impacting the annual earnings forecast.