Fraud Detection in Financial Statements Using Evolutionary Computation Based Rule Miners

2015 ◽  
pp. 239-250 ◽  
Author(s):  
Ganghishetti Pradeep ◽  
Vadlamani Ravi ◽  
Kaushik Nandan ◽  
B. L. Deekshatulu ◽  
Indranil Bose ◽  
...  
Keyword(s):  
Evolutionary Computation ◽  
Fraud Detection ◽  
Financial Statements

scholarly journals Kecurangan Dalam Laporan Keuangan “Menguji Teori Froud Triangle”

2018 ◽  
Vol 19 (1) ◽  
pp. 77
Author(s):  
Langgeng Prayitno Utomo
Keyword(s):  
Logistic Regression ◽  
Fraud Detection ◽  
Financial Statements ◽  
External Pressure ◽  
Fraud Triangle ◽  
Triangle Theory ◽  
Fraudulent Financial Statements

This study aims to examine the factors that affect the fraudulent financial statements of the company. Fraud detection of financial statements using fraud triangle theory. Based on the theory of fraud triangle there are three factors: pressure, opportunity, and rationalization are used as parameters to detect fraud. The sample of this study used 44 companies in 3 years of observation, where the company is divided into companies that are indications of fraud and not by doing the analysis using the calculation of the underlying M-score, this study used logistic regression, the result that the indication of fraud in this study only can be obtained from external pressure factors on pressure variables and the effectiveness of monitoring on the opportunity variables, this study fails to establish influence in three factors at once ie pressure, opportunity, and rational

scholarly journals PENGARUH SKEPTISME PROFESIONAL DAN PENGALAMAN AUDITOR TERHADAP KEMAMPUAN AUDITOR EKSTERNAL DALAM MENDETEKSI KECURANGAN (SURVEI PADA AUDITOR BPK RI PERWAKILAN SULAWESI UTARA)

2018 ◽  
Vol 13 (02) ◽  
Author(s):  
Monica Mokoagouw ◽  
Lintje Kalangi ◽  
Natalia Gerungai
Keyword(s):  
Linear Regression ◽  
Fraud Detection ◽  
Financial Statements ◽  
Primary Data ◽  
Professional Skepticism ◽  
Detection Ability ◽  
North Sulawesi ◽  
Competent Person ◽  
External Auditor ◽  
Positive Effect

External auditor is an independent and competent person who can examine financial statements and be responsible for the opinions given. This research aims to examine the effect of professional skepticism and auditor’s experience on fraud detection ability of external auditor. The sample in this research are all auditors who work in Badan Pemeriksa Keuangan (BPK) Republik Indonesia (The Indonesia’s Supreme Audit Institution) Reprensentative of North Sulawesi Province. The data of this research is using primary data. The data was collected  by distributing  questionnaires directly to auditors of BPK RI Representative of North Sulawesi Province. This research is using the multiple linear regression analsys with SPSS 23.  The result indicate that: 1) Professional Skepticism has positive effect towards Fraud Detection Ability of External Auditor. 2) Auditor’s Experience has positive effect towards Fraud Detection Ability of External Auditor. 3) Professional Skepticism and Auditor’s Experience simultaneously have positive effect towards Fraud Detection Ability of External Auditor. Keywords: Professional Skepticism, Auditor’s experience, Fraud Detection Ability of External Auditor

scholarly journals PENGARUH RISIKO AUDIT, TEKNIK-TEKNIK AUDIT INVESTIGATIF TERHADAP PENDETEKSIAN KECURANGAN DAN PROFESIONALISME AUDITOR

2019 ◽  
Vol 4 (02) ◽  
Author(s):  
Tries Ellia Sandari
Keyword(s):  
Data Collection ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Fraud Detection ◽  
Financial Statements ◽  
Public Accounting ◽  
Audit Risk ◽  
Accounting Firm ◽  
Equation Modelling ◽  
Quantitative Descriptive

ABSTRACTThe purpose of this study was to determine the effect of Risk Audit, Audit Investigation  Techniques on Fraud Detection and Professionalism Auditor (studies on public accounting firm in East Java). Public accounting profession is responsible for raising the level of reliability of the financial statements. This research uses quantitative descriptive. The population in this study is 20 KAP in East Java and is active from 2015-2017. Data collection techniques using purposive sampling The sample used in this study are structural Equation Modelling (SEM) using the help pf Partial Least Sqaure (PLS) software. And hypothesis in this study indicate that five hypotheses were accepted. The significance of this hypothesis shows directly through audit risk, audit investigation techniques, fraud detection and professionalism auditor. Keyword : Risk Audit, Audit Investigation Techniques, Fraud                    Detection,  Professionalism Auditor.

scholarly journals An Ensemble Model for Financial Statement Fraud Detection

2021 ◽  
Author(s):  
Ahmed M. Khedr ◽  
Magdi El Bannany ◽  
Sakeena Kanakkayil
Keyword(s):  
Class Imbalance ◽  
Fraud Detection ◽  
Financial Statements ◽  
Global Market ◽  
Financial Statement ◽  
Machine Learning Techniques ◽  
Accounting Fraud ◽  
Financial Statement Fraud ◽  
Mena Region ◽  
Ensemble Technique

Fraudulent financial statements are deliberate furnishing and/or reporting incorrect statistics, and this has become a major economic and social concern as the global market is witnessing an upsurge in financial accounting fraud, costing businesses billions of dollars a year. Identifying companies that manipulate financial statements remains a challenge for auditors, as fraud strategies have become increasingly sophisticated over the years. We evaluate machine learning techniques for financial statement fraud detection, particularly a powerful ensemble technique, the XGBoost algorithm, that help to identify fraud on a set of sample companies drawn from the MENA region. The issue of the class imbalance in the dataset is addressed by applying the SMOTE algorithm. We found that XGBoost algorithm outperformed other algorithms in this study: Logistic Regression (LR), Decision Tree (DT), Vector Machine Support (SVM), Adaboost, and RandomForest. The XGBoost algorithm is then optimised to obtain the optimum performance.

scholarly journals ANALISIS FRAUD DIAMOND DALAM DETERMINASI PENDETEKSIAN KECURANGAN LAPORAN KEUANGAN DENGAN FAMILY OWNERSHIP SEBAGAI VARIABEL MODERASI

2020 ◽  
Vol 2 (2) ◽  
pp. 15
Author(s):  
Devira Puri Ayu Melati ◽  
Dwi Jaya Kirana ◽  
Noegrahini Lastiningsih
Keyword(s):  
Linear Regression ◽  
Earnings Management ◽  
Financial Reporting ◽  
Stock Exchange ◽  
Research Result ◽  
Fraud Detection ◽  
Financial Statements ◽  
Family Ownership ◽  
Regression Analyses ◽  
Fraudulent Financial Reporting

Abstract - The purpose of this research is to determine the influence of financial targets, ineffective monitoring, rationalization, and capability of fraud detection of financial statements. This research also uses family ownership as a moderation variable. The fraudulent financial reporting in this study were measured using earnings management. The population in this research is a banking company listed on the Indonesia Stock Exchange (IDX) for the period 2016-2018. The amount of samples is 123 samples for Model 1 and Model 2. The analytical methods used are multiple linear regression analyses, coesfisien determinations, simultan test (test F) and partial test (Test T) with application SPSS (Statistical Product and Service Solution) version 25th . The research result indicates that financial target, ineffective monitoring, rationalization, and capability have a significant influence on the detection of fraud financial statements and family ownership can moderate variable relationships Capability change of Directors on fraud detection of financial statements. Keywords: fraudulent financial reporting , fraud diamond, family ownership

Development of an Anomaly Detection Model for a Bank's Transitory Account System

2014 ◽  
Vol 28 (1) ◽  
pp. 145-165 ◽  
Author(s):  
Yongbum Kim ◽  
Alexander Kogan
Keyword(s):  
Control System ◽  
Human Resources ◽  
Internal Control ◽  
Fraud Detection ◽  
Financial Statements ◽  
Internal Auditors ◽  
Detection Model ◽  
Cost Constraints ◽  
Internal Control System ◽  
Account System

ABSTRACT Fraud detection is one of the key components of an internal control system that is designed to provide reasonable assurance regarding reliable financial statements, effective and efficient operations, compliance with applicable laws and regulations, and safeguarding of assets (AICPA 2002; Committee of Sponsoring Organizations of the Treadway Commission 1992). Practically, however, it is challenging to determine what should be investigated among myriads of a company's transactions, most of which are normal and/or free from material error. Limited human resources and cost constraints are major barriers to fraud detection in practice. This study proposes a multi-step fraud detection model that screens transactions at various levels, which leads to a manageable number of transactions that internal auditors can examine. To that end, a broad screening criterion is applied at the highest level, while more detailed criteria are used at the lowest level. This study provides an example of development of a practicable fraud detection model.

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