Artificial Neural Network (ANN): An Artificial Intelligent (AI) Tool to Predict Fraudulent Financial Reporting and Financial Distress

11Vatsala Vijayan, 2Geetha A. Rubasundram

266 Views
68 Downloads
Abstract:

Artificial Neural Network (ANN) is an Artificial Intelligence (AI) tool to predict Fraudulent Financial Reporting and Financial Distress. This paper explores the effectiveness of the (AI) tool in accomplishing the task of management fraud detection; auditors could be facilitated in their work by using Artificial Neural Network technique. The input vector of ANN study is composed of financial ratios from the firm’s financial statements such as the working capital, total assets, total liability, inventories, and cost of sales, sales and net income. Based on Bursa Malaysia, the sample data taken is based on PN17 companies means the companies which currently facing FD and companies committed financial fraud. This research employs seven proxy variables from 240 observations for quantitative analysis and also investigates the usefulness of Neural Networks in Predicting Fraudulent Financial Reporting and Financial Distress. The results reflect that the ANN model used is accurate.

Keywords:

Artificial Neural Network (ANN), Artificial Intelligence (AI), Fraudulent Financial Reporting (FFR), Financial Distress (FD), Financial Ratios.

Paper Details
Month2
Year2020
Volume24
IssueIssue 2
Pages1215-1226