The Analysis Of Fraud Pentagon Theory And Financial Distress For Detecting Fraudulent Financial Reporting In Banking Sector In Indonesia (Empirical Study Of Listed Banking Companies On Indonesia Stock Exchange In 2012-2017)
- DOI
- 10.2991/icaf-19.2019.10How to use a DOI?
- Keywords
- Fraud Pentagon Theory, Financial Distress, Fraudulent Financial Reporting
- Abstract
This study aims to analyze the fraud pentagon theory and financial distress for detecting fraudulent financial reporting in banking companies in Indonesia listed on the Stock Exchange in 2012-2017. The sampling technique used purposive sampling with the sample of 30 companies. The hypothesis testing was done by testing multiple linear regression models which were processed using SPSS 15.0. The result shows that quality of external auditor has a positive effect on fraudulent financial reporting, change in auditor has a negative effect on fraudulent financial reporting, director change has a positive effect on fraudulent financial reporting, frequent number of CEO picture has a positive effect on fraudulent financial reporting, and financial distress has a positive effect on fraudulent financial reporting. The other variables which are financial stability and external pressure have no effect on fraudulent financial reporting.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Evy Rahman Utami AU - Nandya Octanti Pusparini PY - 2019/11 DA - 2019/11 TI - The Analysis Of Fraud Pentagon Theory And Financial Distress For Detecting Fraudulent Financial Reporting In Banking Sector In Indonesia (Empirical Study Of Listed Banking Companies On Indonesia Stock Exchange In 2012-2017) BT - Proceedings of the 5th International Conference on Accounting and Finance (ICAF 2019) PB - Atlantis Press SP - 60 EP - 65 SN - 2352-5428 UR - https://doi.org/10.2991/icaf-19.2019.10 DO - 10.2991/icaf-19.2019.10 ID - Utami2019/11 ER -