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Market Information and Predictive Accuracy of the Going Concern Opinion

Authors: Kannan Raghunandan; K.R. Subramanyam;

Market Information and Predictive Accuracy of the Going Concern Opinion

Abstract

We find a model that uses both financial statement and market information is an unambiguously superior predictor of bankruptcy than the going concern (audit) opinion. However, the audit opinion has incremental predictive ability for bankruptcy beyond both financial statement and market-based variables, suggesting that financial statement and market information in combination is not a sufficient statistic for the information and expertise of the auditor. A comparison of the audit opinion and bankruptcy prediction models indicates the auditors' inferior performance vis-a-vis the model likely arises because auditors do not correctly use public (financial and market) information. In particular, auditors appear to underweight stock price information but overweight conventional financial statement ratios, cash flow from operations and firm size (measured by total assets) when issuing going concern opinions.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
4
Average
Average
Average
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