Detection of Anomalies in Accounting Data Using Benford’s Law: Evidence from India

Ramesh Chandra Das, Chandra Sekhar Mishra, Prabina Rajib


This study uses the financial accounting data to examine if they depart from Benford’s Law. Using large sample of Indian public listed companies, the study conducts an analysis of the “first digit analysis”, “second digit analysis”, and “first two digit analysis “of test variables such as total assets, receivables, fixed assets, property, plant and equipment, inventory, current assets, current liabilities, sales, selling and distribution expenses, cost of goods sold, cash, EBIT, direct tax, indirect tax. The initial results find that most of the variables have significant deviation from Benford’s Law distribution. Further analyses indicate that business group firms indulge more data anomalies than standalone firms and small size firms have more data anomalies than large size firms in Indian context.

Full Text:




  • There are currently no refbacks.

Copyright (c) 2016 Ramesh Chandra Das, Chandra Sekhar Mishra, Prabina Rajib

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Journal of Social Science Studies ISSN 2329-9150

Copyright © Macrothink Institute

To make sure that you can receive messages from us, please add the '' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders. If you have any questions, please contact: