Substantial doubt and the entropy of auditors’ going concern modifications
Kim Ittonen,
Per C. Tronnes and
Leon Wong
Journal of Contemporary Accounting and Economics, 2017, vol. 13, issue 2, 134-147
Abstract:
Auditors need to establish a substantial doubt threshold in order to determine the type of audit report to issue, but substantial doubt is not defined in the auditing standards. Auditors are regularly criticized for having high thresholds, which results in too few going concern reports. We apply Shannon entropy from information theory as the criterion to evaluate the informational value of the audit report. Shannon entropy provides a measure of the expected information content associated with the realization of an uncertain event. First, we estimate the client’s probability of bankruptcy in our sample. Second, using the distribution of the probability of bankruptcy we calculate the entropy at each point of the probability of bankruptcy. We find that entropy is maximized at the 0.08 probability of bankruptcy.
Keywords: Bankruptcy; Going concern modifications; Substantial doubt; Shannon entropy; Policy and regulation (search for similar items in EconPapers)
JEL-codes: G33 G38 M42 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S181556691730019X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jocaae:v:13:y:2017:i:2:p:134-147
DOI: 10.1016/j.jcae.2017.05.005
Access Statistics for this article
Journal of Contemporary Accounting and Economics is currently edited by Agnes C.S. Cheng, P. Clarkson, F.A. Gul, Zoltan Matolcsy, Dan Simunic and Ben Srinidhi
More articles in Journal of Contemporary Accounting and Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().