Fraudulent Financial Statement: Evidence from Statement on Auditing Standard No. 99
The goals of this study are to empirically identify fraud risk factors and construct a model to predict the likelihood of financial statement frauds based on SAS No. 99. Employing logistic regression on 143 firms, this research finds that fraud risk factor proxies for Pressure—net profit/total asse...
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Universitas Gadjah Mada
2009-01-01
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doaj-49864d06f8f44caca004451d2e6e2b742020-11-24T23:56:42ZengUniversitas Gadjah MadaGadjah Mada International Journal of Business1411-11282338-72382009-01-0111111714410.22146/gamaijb.55394865Fraudulent Financial Statement: Evidence from Statement on Auditing Standard No. 99Suyanto Suyanto0Faculty of Economics and Business, Universitas Gadjah MadaThe goals of this study are to empirically identify fraud risk factors and construct a model to predict the likelihood of financial statement frauds based on SAS No. 99. Employing logistic regression on 143 firms, this research finds that fraud risk factor proxies for Pressure—net profit/total assets—and Opportunity— inventory/total assets ratio, related party transactions, and Big 4—are significantly associated with fraudulent financial statements, whereas none of the fraud risk factor proxies for Rationalization is significantly associated with fraudulent financial statements. Consistent with prior research, it seems that the likelihood of fraudulent financial statements is easier to be observed publicly using fraud risk factor proxies for Pressure and Opportunity rather than Rationalization. The constructed model can correctly classify firms with a relatively high success rate.https://jurnal.ugm.ac.id/gamaijb/article/view/5539financial statement fraudsfraud trianglefraud risk factorsSAS 99 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Suyanto Suyanto |
spellingShingle |
Suyanto Suyanto Fraudulent Financial Statement: Evidence from Statement on Auditing Standard No. 99 Gadjah Mada International Journal of Business financial statement frauds fraud triangle fraud risk factors SAS 99 |
author_facet |
Suyanto Suyanto |
author_sort |
Suyanto Suyanto |
title |
Fraudulent Financial Statement: Evidence from Statement on Auditing Standard No. 99 |
title_short |
Fraudulent Financial Statement: Evidence from Statement on Auditing Standard No. 99 |
title_full |
Fraudulent Financial Statement: Evidence from Statement on Auditing Standard No. 99 |
title_fullStr |
Fraudulent Financial Statement: Evidence from Statement on Auditing Standard No. 99 |
title_full_unstemmed |
Fraudulent Financial Statement: Evidence from Statement on Auditing Standard No. 99 |
title_sort |
fraudulent financial statement: evidence from statement on auditing standard no. 99 |
publisher |
Universitas Gadjah Mada |
series |
Gadjah Mada International Journal of Business |
issn |
1411-1128 2338-7238 |
publishDate |
2009-01-01 |
description |
The goals of this study are to empirically identify fraud risk factors and construct a model to predict the likelihood of financial statement frauds based on SAS No. 99. Employing logistic regression on 143 firms, this research finds that fraud risk factor proxies for Pressure—net profit/total assets—and Opportunity— inventory/total assets ratio, related party transactions, and Big 4—are significantly associated with fraudulent financial statements, whereas none of the fraud risk factor proxies for Rationalization is significantly associated with fraudulent financial statements. Consistent with prior research, it seems that the likelihood of fraudulent financial statements is easier to be observed publicly using fraud risk factor proxies for Pressure and Opportunity rather than Rationalization. The constructed model can correctly classify firms with a relatively high success rate. |
topic |
financial statement frauds fraud triangle fraud risk factors SAS 99 |
url |
https://jurnal.ugm.ac.id/gamaijb/article/view/5539 |
work_keys_str_mv |
AT suyantosuyanto fraudulentfinancialstatementevidencefromstatementonauditingstandardno99 |
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1725457160197898240 |