The Association between Auditor Sanction Types and Information Content of Corporate Annual Report
| Autor: | Yu-Ying Chu, 朱育瑩 |
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| Rok vydání: | 2014 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 102 The outbreak of domestic and foreign enterprises fraud and emptied cases comes out one after the other since 2000. Certified public accountants providing assurance services sometimes were sanctioned after unfavorable news about enterprises was issued. Although there are many factors that cause accountants cannot fully guarantee company’s financial statements are free from fraud or errors, and since the responsibility of detecting financial statement’s error and fraud lies in management, after the outbreak of illegal events that made investors suffer from huge losses, why public accountants cannot be exempted from legal actions? The purpose of this study is to investigate the narrative information in corporate’s annual report, using text mining technique, to find the relationships between the narrative disclosure and auditor sanction types. According to past literature, the studies of the subject of accountant sanction is usually connected with audit quality in fact and in appearance, sanction content characteristics, company’s stock prices or company’s characteristics. There’s no research analyzing the relationship between narrative texts of annual report with sanction types. Therefore this study starts from making a statistical analysis of sanction cases occurred from 2000 to 2012, then uses ordered probit model to conduct empirical analysis. It reveals that the increase of negative semantic words, the more severe sanction types are likely to occur. This study also finds that different section of annual report has different results. Thus, the accountants should be more careful before reviewing the company’s final financial statements and issuing their opinion report. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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