Using Benford's Law to Detect Fraudulent Financial Reporting
| Autor: | HSIEH, YA-YING, 謝亞縈 |
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| Rok vydání: | 2019 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 107 The thesis comprehensively makes a thorough review of the cases of fraudulent financial reporting in Taiwan and applies Benford's Law to detect the fraud incidence. The sample consists of observations selected from publicly traded companies in Taiwan from 2007 to 2018. According to the method proposed by Amiram, Bozanic and Rouen (2015), the thesis calculates the financial statement divergence score based on the all item on the income statement, balance sheet, and statement of cash flow. After controlling the variables that have been documented by prior studies to affect the fraud incidence, the thesis testes whether the financial statement deviation score has an incremental explanatory power for fraud. The empirical results reveal the current and prior period financial statement deviation score is positively correlated with the current fraud but not significant. When the sample is divided into pre 2013 and post 2013 (including 2013) observations, the regression result based on post-2013 observations (including 2013) shows that the relationship between financial statements deviation score and the fraud is significant positive. Overall, the thesis finds some evidences supportive of the usefulness of financial statement deviation scores in detecting fraudulent financial reporting. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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