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OAR@UM
Article . 2019 . Peer-reviewed
Data sources: OAR@UM
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Audit Risk Assessment Model

Authors: Arzhenovskiy, S. V.; Bakhteev, Andrey Vladimirovich; Sinyavskaya, T. G.; Hahonova, N. N.;

Audit Risk Assessment Model

Abstract

Purpose: The purpose of this study is the development of an audit risk model based on the decomposition of classical Audit Risk Model (ARM) with the addition of elements to assess the risks associated with various aspects of the task. Design/Methodology/Approach: The classical ARM is the basis of our model. The factors of the first and second order in the proposed model are the same as in the classical ARM, namely, the risk of significant distortion and the risk of non-detection. The risk of material misstatement is disaggregated into inherent and control risks. We included in the list of second-order factors that affect the value of risk of significant distortion, the risk of material misstatement of financial statements due to unfair acts. Findings: The paper contains the classic ARM's development analysis and the current researches in audit risk modeling review. We formulated the requirements to desired ARM's characteristics based on analysis we made. The ARM modification by classical conceptual model decomposition to the level of simple binary statements is presented. We describe the main structural elements of the developed model and their interrelations. Practical Implications. The presented disaggregated ARM can be used as a methodological basis for assessing audit risk in the course of fulfilling assignments for the audit of financial statements. Originality/Value: The classical ARM author's modification has been developed with the aim to its adapting to a practical risk assessment through logical-probabilistic modeling.

Country
Malta
Related Organizations
Keywords

Auditing -- Case studies, Risk assessment -- Case studies

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
Green
gold