A Circular Causality Analysis on the Determinants of the Audit Fees within the NYSE-Quoted Companies

Ionela-Corina Chersan, I. Robu, Mihai Carp, M. Mironiuc
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引用次数: 9

Abstract

According to the International Standards on Auditing, audit fees are the amount that remunerates the financial auditor’s activity, the certification of financial statements. The Profession Code states that these fees should be calculated in an objective way and the auditor’s independence shouldn’t be influenced by them. This study aims to identify the determinants of the audit fees, by testing the existence of a circular causality in the connection between audit fees and the financial performance of a NYSE-quoted company. The analysis is based on a sample of the first 100 companies (NYSE quoted) of the Top 500 Fortune, except for the companies in the investment funds and insurances field. In the study there were tested and validated the following working hypothesis: “the level of the audit fees is mainly influenced by the company’s capacity to continue its activity”, “the prestige of the audited company contributes to the decrease of the audit fees” and “the reduced fees level, paid by the customer audited by one of the Big4 companies in this exercise, contributes to the future prestige increase”. For data analysis there were used linear regression analysis (simple and multiple) and the variance analysis (ANOVA). Research results indicate the existence of a circular causality, bidirectional, on the level of the relationship between audit fees and financial performance. For data processing, in the study there were used statistical software SPSS 19.0 and AMOS 16.0.
纽交所上市公司审计费用决定因素的循环因果分析
根据《国际审计准则》,审计费用是对财务审计师的活动,即对财务报表进行认证的报酬。《职业守则》规定,这些费用应以客观的方式计算,不应影响审计师的独立性。本研究旨在确定审计费用的决定因素,通过测试在审计费用和纽约证券交易所上市公司的财务业绩之间的连接存在循环因果关系。该分析是基于除投资基金和保险领域的公司外,财富500强前100家公司(纽约证券交易所上市)的样本。在研究中,对以下工作假设进行了测试和验证:“审计费用的水平主要受公司继续其活动的能力的影响”,“被审计公司的声誉有助于审计费用的减少”和“在此练习中由四大公司之一审计的客户支付的降低的费用水平有助于未来声望的增加”。数据分析采用线性回归分析(单一和多元)和方差分析(ANOVA)。研究结果表明,在审计收费与财务绩效的关系层面上,存在着一种循环的、双向的因果关系。在数据处理方面,本研究采用SPSS 19.0和AMOS 16.0统计软件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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