Qualitative analysis of financial statements for fraud detection

Author(s):  
Aastha Bhardwaj ◽  
Rajan Gupta
2021 ◽  
pp. 66-73
Author(s):  
Julija Liodorova ◽  
Irina Voronova ◽  
Ruta Shneidere

The aim of the article is to study forensic accounting methods to detect fraud in financial statements. A taxonomy of forensic analytics methods is proposed and a generalization of seven mathematical models for detecting fraud recommended by forensic accounting experts and practitioners is provided, allowing for the detection of fraudulent financial statements before it is too late. The authors’ qualitative analysis of evaluating fraud detection models is based on data from semi-structured interviews conducted in the focus group of forensic accountants, investigators, and prosecutors.


This is a historic challenge in the accounting area: how to translate the values that these athletes represent to their teams into numbers and data. They are active, of course. The question is: how to classify them and, mainly, measure their economic achievement for the clubs they defend. Although new specific devices aim to make the task simpler, general regulations in the Brazilian scenario, such as the non-possibility of revaluing assets, hinder the identification of the real situation and the value of the main assets of national clubs: professional players. The article aimed to perform a qualitative analysis of the accounting policies and procedures recognized in the accounts of Brazilian professional football clubs in relation to the registration, amortization and impairment of the intangible with athletes, comparing them to three international teams. Palmeiras, Corinthians and Flamengo were the national teams selected in comparison to Manchester United (ING), Borussia Dortmund (ALE) and Barcelona (ESP). The research concludes that the degree of disclosure and information contained in the pieces varies according to the market, the regulations in force at the site and, mainly, the structuring of the teams' properties, with the best performing clubs having greater descriptive content and information in their Tales. Although a good part of the texts and reports are limited to a reproduction of policies and practices explained in norms and legal texts, without offering the accounting users useful information for their decision making.


2018 ◽  
Vol 19 (1) ◽  
pp. 77
Author(s):  
Langgeng Prayitno Utomo

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


2018 ◽  
Vol 13 (02) ◽  
Author(s):  
Monica Mokoagouw ◽  
Lintje Kalangi ◽  
Natalia Gerungai

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


2019 ◽  
Vol 4 (02) ◽  
Author(s):  
Tries Ellia Sandari

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.


2021 ◽  
Author(s):  
Ahmed M. Khedr ◽  
Magdi El Bannany ◽  
Sakeena Kanakkayil

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.


2020 ◽  
Vol 2 (2) ◽  
pp. 15
Author(s):  
Devira Puri Ayu Melati ◽  
Dwi Jaya Kirana ◽  
Noegrahini Lastiningsih

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


Author(s):  
Ganghishetti Pradeep ◽  
Vadlamani Ravi ◽  
Kaushik Nandan ◽  
B. L. Deekshatulu ◽  
Indranil Bose ◽  
...  

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