PREDICTING FRAUDULENT FINANCIAL STATEMENT USING CASH FLOW SHENANIGANS

Predicting financial statement fraud using fuzzy neural networks

Fraud is a common phenomenon in business, and according to Section 24 of the Iranian Auditing Standards, it is the fraudulent act of one or more managers, employees, or third parties to derive unfair advantage and any intentional or unlawful conduct. Financial statements are a means of transmitting confidential management information about the<br ...

Forecasting Fraudulent Financial Statements using Data Mining

This paper explores the effectiveness of machine learning techniques in detecting firms that issue fraudulent financial statements (FFS) and deals with the identification of factors associated to FFS. To this end, a number of experiments have been conducted using representative learning algorithms, which were trained using a data set of 164 fraud and non-fraud Greek firms in the recent period 2...

Identification of fraudulent financial statements using linguistic credibility analysis

Available online 19 August 2010

Real Estate Project Financial Evaluation Based on Cash Flow Estimation

This paper analyzes the factors influencing cash flows and divides them as certainty factors and uncertainty factors; it mainly discusses the uncertainty factors causing change of cash flow. For the characteristics of uncertainty of cash flows in real estate project, we adopted probability theory and mathematical statistics to balance and estimate the cash flows. Then the computer simulation me...

Cash Flow Volatility, Financial Slack and Investment Decisions