AUDITING NEW APPROACH OF CREDIT LOSS FOR FINANCIAL INSTITUTIONS IN THE AUDIT DATA ANALYTICS ERA: A FIELD STUDY IN EGYPT
Keywords:
Expected Credit loss (ECL), Critical Audit Matters (CAMSs), Audit Data Analytics (ADA), Regression Analysis, Ratio Analysis-Logistic Regression, UncertaintyPrecision Rate-Variance Rate-Management Bias, Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD)Abstract
Purpose-The main objective of the study to propose Audit Data Analytic Tools (ADA) to develop the role of the External Auditor in enhancing the communication of the Expected Credit Loss (ECL) estimate as a very complex and subjective item of Critical Audit Matters (CAMS) of the New Audit Report.
Design/methodology/approach- The study depends on uses of the field approach through a questionnaire distributed by the researcher to academic staff members of some selected universities and the audit professionals whether the internal auditors in banks listed and controlled by the Egyptian central bank & the external auditors registered in the financial regulatory authority of the big auditing firm in Egypt with expertise in the banking industry sector ( i.e Pwc, KPMG ,Grand Thorton ,EY) to test the relevance of the proposed framework for CAMS communication.
Findings-The findings of the study show the significant importance of ECL i.e.,CAMS Communication to the financial statement users as it promotes the user to the audit report and finally improves the understanding and relevance of the related financial statements. Thus,When the CAMS disclosures in the audit report are provide, investors may be more confident that the auditors have determined and appropriately addressed the most highly risky assertions in the financial statements which reflect on the audit quality.
Originality/value-This study contributes to the audit literature by proposing a suitable Audit Data analytics tool (tools) to develop an independent estimate (i.e. Point of estimate) for the new ECL as a very complex and subjective CAMS item in order to stand on its reasonableness by the external auditor. As well as proposing the relevant form for communicating such information as a CAMS in the 1 audit report.
Downloads
References
AICPA (Assurance Services Executive Committee). (2015). Audit Data Standards. Appelbaum & Vasarhelyi. (2017). Big Data and Analytics in the Modern Audit
Engagement: Research Needs.Auditing a Journal of Practice & Theory, 36(4)1-27.
. Kogan, Alex & Vasarhelyi, Miklos (2018). Analytical procedures in external auditing: A comprehensive literature survey and framework for external audit analytics.
Journal of Accounting Literature. 40, 83-101.
Austin, Shley A., Carpenther, Tina D., Christ, Margreat H. & Nielson, Christy (2019). The Data Analytics Transformation: Evidence from Auditors, CFOs, and
Standard-Setters. Working Paper.
BDO. (2018). IFRS 9 Financial Instruments. IFRS in practice- Practical Guidance.
Be'dard, Jean, Bera, Palash. (2018). The Informational Value of Key Audit Matters in the Auditor’s Report: Evidence from an Eye-Tracking Study, Accounting
Horizons, 32(2), 141-162. & Besacier, Schatt. (2014), Costs and Benefits of Reporting Key Audit Matters in the
Audit Report: The French Experience, Working Paper. Bellandi. (2018). Materiality in Financial reporting (An integrated perspective ).
Emeraled publishing. UK.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.