Auditing Assurance Services and Forensics

This book PDF is perfect for those who love Business & Economics genre, written by Felix I. Lessambo and published by Springer which was released on 21 July 2018 with total hardcover pages 494. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Auditing Assurance Services and Forensics books below.

Auditing  Assurance Services  and Forensics
Author : Felix I. Lessambo
File Size : 48,9 Mb
Publisher : Springer
Language : English
Release Date : 21 July 2018
ISBN : 9783319905211
Pages : 494 pages
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Auditing Assurance Services and Forensics by Felix I. Lessambo Book PDF Summary

This book provides a comprehensive presentation of auditing theory and practice. It simplifies audit concepts often considered abstract or vague to many. Written in a clear, concise, and understandable manner, the book covers the often uncovered and daring area of forensic auditing and analyses the approach thereof. Additionally, it covers the use of blockchain in audit through several illustrations and examples, and would be of interest to students, academics, and even junior auditors.

Auditing  Assurance Services  and Forensics

This book provides a comprehensive presentation of auditing theory and practice. It simplifies audit concepts often considered abstract or vague to many. Written in a clear, concise, and understandable manner, the book covers the often uncovered and daring area of forensic auditing and analyses the approach thereof. Additionally, it covers

DOWNLOAD
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This book discusses various common occupational and organizational fraud schemes, based on the Association of Certified Fraud Examiners (ACFE) fraud tree and assist fraud examiners and auditors in correctly choosing the appropriate audit tests to uncover such various fraud schemes. The book also includes information about audit test red flags

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The prediction of the valuation of the “quality” of firm accounting disclosure is an emerging economic problem that has not been adequately analyzed in the relevant economic literature. While there are a plethora of machine learning methods and algorithms that have been implemented in recent years in the field of

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As auditors, we are trained to investigate beyond appearances to determine the underlying facts—in other words, to look beneath the surface. From the Enron and WorldCom scandals of the early 2000s to the financial crisis of 2007–2008 to present-day issues and challenges related to significant estimation uncertainty, understanding the auditor’

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