Implementation of Regulatory and Supervisory Policy Authority in the Establishment of Internal SOP Against Credit Fraud in Indonesian Banking

Banking is one of the drivers and centers of a country's economy. Based on the authority they have, it is not surprising that the risk held by banks is very high. Therefore, banking is one of the business sectors that have very strict supervision. This paper discusses how the implementation of regulatory policy authorities applicable in Indonesia related to the establishment of internal banking Standard Operating Procedures (SOPs) in minimizing the potential for credit fraud and how internal and external supervisory authorities can become benchmarks in supporting the creation of anti-fraud policies, especially in credit fraud. There are two main factors that can create a potential credit fraud chain that leads to financial statement fraud: first, delays in updating regulatory policies; and second, ineffective and insensitive internal and external banking supervision. In addition, there needs to be a certain regulatory policy that deals with credit fraud, whether issued by the government, Bank Indonesia, OJK or internal Banking SOP itself.

Pengaruh Fraud Pentagon terhadap Kecurangan Laporan Keuangan dengan Komite Audit sebagai Variabel Moderasi

Purpose: This study aims to determine the effect of the five components from fraud pentagon, namely pressure, opportunity, rationalization, competence, and arrogance moderated by the audit committee on fraudulent financial statements. Research Methodology: This research is a type of quantitative research using secondary data in the form of annual reports and company financial reports. The regression model used in this study is logistic regression which is processed using the STATA version 16. Results: The results of this study are pressure has a significant positive effect on fraudulent financial statements. Meanwhile, opportunities, rationalization, competence, and arrogance do not have an effect on fraudulent financial statements, besides that the audit committee also cannot moderate the effect of the pressure, opportunities, rationalization, competence, and arrogance on fraudulent financial statements. Limitations: The lack of supporting literature obtained by the authors regarding the audit committee that oversees management in the company is used as a moderating variable on the topic of financial statement fraud. Contribution: This study's results can be used as a reference for further researchers and take into consideration for company management, investors, and creditors in making decisions.

Bayesian inference of local government audit outcomes

The scandals in publicly listed companies have highlighted the large losses that can result from financial statement fraud and weak corporate governance. Machine learning techniques have been applied to automatically detect financial statement fraud with great success. This work presents the first application of a Bayesian inference approach to the problem of predicting the audit outcomes of financial statements of local government entities using financial ratios. Bayesian logistic regression (BLR) with automatic relevance determination (BLR-ARD) is applied to predict audit outcomes. The benefit of using BLR-ARD, instead of BLR without ARD, is that it allows one to automatically determine which input features are the most relevant for the task at hand, which is a critical aspect to consider when designing decision support systems. This work presents the first implementation of BLR-ARD trained with Separable Shadow Hamiltonian Hybrid Monte Carlo, No-U-Turn sampler, Metropolis Adjusted Langevin Algorithm and Metropolis-Hasting algorithms. Unlike the Gibbs sampling procedure that is typically employed in sampling from ARD models, in this work we jointly sample the parameters and the hyperparameters by putting a log normal prior on the hyperparameters. The analysis also shows that the repairs and maintenance as a percentage of total assets ratio, current ratio, debt to total operating revenue, net operating surplus margin and capital cost to total operating expenditure ratio are the important features when predicting local government audit outcomes using financial ratios. These results could be of use for auditors as focusing on these ratios could potentially speed up the detection of fraudulent behaviour in municipal entities, and improve the speed and quality of the overall audit.

Can the Fraud Triangle Detect Financial Statement Fraud? (An Empirical Study of Manufacturing Companies in Indonesia)

This study examines the effect of the following factors on financial statement fraud: (1) external pressure, (2) personal financial need, (3) financial targets, (4) the nature of industry, (5) ineffective monitoring, and (6) rationalization. The population in this study consisted of companies listed on the Indonesia Stock Exchange (IDX) over the period 2016-2018. The analysis was conducted with the help of the logistic regression method.The results of this study indicate that external pressure, financial targets and the nature of industry have an effect on financial statement fraud, while personal financial need, ineffective monitoring and rationalization have no effect on financial statement fraud. Thus, this study contributes to the understanding that not all aspects of the fraud triangle can detect fraud.

Financial Statement Fraud: Challenges and Technology Deployment in Fraud Detection

Fraudulent financial reporting and other forms of earnings misstatement are catastrophic and pose a considerable threat to capital market stability. This study reviews the literature on existing technology-based methods of detecting financial statement fraud. The aim is to describe the challenges of predicting a rare fraud event and provide an understanding of the various data-mining based techniques for financial statement fraud detection. Given that fraudsters are becoming more adaptable and are constantly devising new ways to outwit the fraud detection system, the study provides directions for future research in detecting the evolutionary fraudulent financial reporting.

Scoring to estimate the financial statement fraud risk during the audit

Subject. This article assesses the propensity for material misstatement risk due to unfair actions of persons charged with the financial statements preparation, based on their behavioral traits. Objectives. The article aims to develop a scoring type methodology for identifying the propensity for material misstatement risk due to unfair actions of persons charged with the financial statements preparation. Methods. For the study, we used a multidimensional statistical method of discriminant analysis based on empirical data from an author-conducted survey of 515 employees charged with the financial statements preparation in companies. Results. The article presents a two-stage methodology that helps estimate whether a person has traits associated with a hyperpropensity for financial statements fraud risk. Conclusions and Relevance. The developed methodology for detecting the fraud risk is easy to use. It gives the result in binary form and does not violate the principles of audit ethics. The estimated material misstatement risk due to unfair actions makes it possible to justify the need for appropriate audit procedures when developing a strategy and audit plan.