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Benfor's law : usefulness in detecting fraud/errors in audited financial statements

Mini-dissertation (MBA)--University of Pretoria, 2019.

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Other Authors: Thaver, Kuben
Format: Thesis
Language:English
Published: University of Pretoria 2020
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access_status_str Open Access
author2 Thaver, Kuben
author_browse Thaver, Kuben
author_facet Thaver, Kuben
collection Thesis
dc_rights_str_mv © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Mini-dissertation (MBA)--University of Pretoria, 2019.
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:39:27.772Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2020
publishDateRange 2020
publishDateSort 2020
publisher University of Pretoria
publisherStr University of Pretoria
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spelling oai:repository.up.ac.za:2263/74609 Benfor's law : usefulness in detecting fraud/errors in audited financial statements Thaver, Kuben u17394113@tuks.co.za Putzier, Candice UCTD Corporate governance Fraud Benford’s law Auditor Mini-dissertation (MBA)--University of Pretoria, 2019. Corporate scandals and failures due to fraud have resulted in significant financial losses to shareholders. Recently, there has been an increase in the occurrence of such events both globally and within South Africa. More importantly, these events have occurred in companies where satisfactory audit opinions have been issued. As a result, concerns regarding the integrity and reliability of Independent Audit opinions underpins the need for this study. Therefore, the purpose of this study was to identify a suitable tool for detecting fraud or error in financial statements. Benford’s Law, the tool used, claims that digits in numeric data are distributed according to expected frequencies (Nigrini & Mittermaier, 1997). A quantitative analysis of a sample of known and suspected incidences of fraudulent financial reporting was analysed. First, second and first-two digit Benford’s tests were performed and the Mean Absolute Deviation (MAD), Kolmogorov–Smirnov statistic (KS) and Z-Statistic were used for assessing conformance. Inconsistencies and limitations were identified in the results of the KS and Z-Statistics as well as the usefulness of first-two digit test. Overall, the MAD statistic confirmed that suspected and fraudulent financial data does not conform to Benford’s Law for all companies when applying the first and second digit tests. Gordon Institute of Business Science (GIBS) MBA Unrestricted 2020-05-15T18:41:59Z 2020-05-15T18:41:59Z 2020-04 2019 Mini Dissertation Putzier, C 2019, Benfor's law : usefulness in detecting fraud/errors in audited financial statements, MBA Mini Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/74609> A2020 http://hdl.handle.net/2263/74609 en © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Corporate governance
Fraud
Benford’s law
Auditor
Benfor's law : usefulness in detecting fraud/errors in audited financial statements
title Benfor's law : usefulness in detecting fraud/errors in audited financial statements
title_full Benfor's law : usefulness in detecting fraud/errors in audited financial statements
title_fullStr Benfor's law : usefulness in detecting fraud/errors in audited financial statements
title_full_unstemmed Benfor's law : usefulness in detecting fraud/errors in audited financial statements
title_short Benfor's law : usefulness in detecting fraud/errors in audited financial statements
title_sort benfor s law usefulness in detecting fraud errors in audited financial statements
topic UCTD
Corporate governance
Fraud
Benford’s law
Auditor
url http://hdl.handle.net/2263/74609