{'fraction_non_alphanumeric': 0.02824858757062147, 'fraction_numerical': 0.025423728813559324, 'mean_word_length': 5.442424242424242, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Identifying Manipulated Financial Statement and Detection of Frauds: A Case Study of Atlas Cycles Limited

51 DOI: 10.37398/JSR.2021.650907 Abstract: Traditional methods of dealing with financial shenanigans have proved ineffective with the advent of globalization. As a result, identification, investigation, and prevention procedures are critical in the case of fraud. While anomalies or red flags serve as signs for the auditor, management, and other responsible parties to determine whether there is real fraud, auditing and statistics continue to be the primary methods of investigation for detecting fraud. The present study focuses on detecting fraud and testing the financial distress in the financial statements of Atlas Cycles Ltd during seven years, from 2013‒2019, to detect the fraud and financial distress Benford Law and Altman Z-score model, forensic tools were applied to Atlas Cycle’s financial statements for the sample period. Mean Absolute Deviation (MAD), Chi-Square, Aderson Darling Test, statistical tools have been used for the analysis.