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ArticleDetecting earnings management with neural networks

Henrik Höglund2012

Article2012

Detecting earnings management with neural networks

Henrik Höglund

62 citations·0/0 files stored·Expert Systems with Applications

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Auditing, Earnings Management, Governance Financial Distress and Bankruptcy Prediction Corporate Governance and Financial Management

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References

1991Earnings Management During Import Relief Investigations 2005Performance matched discretionary accrual measures 1995Detecting Earnings Management.1998Forecasting with artificial neural networks:1997The conservatism principle and the asymmetric timeliness of earnings1 2012Detecting Earnings Management 1985The effect of bonus schemes on accounting decisions 1994Debt covenant violation and manipulation of accruals

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2019An integrated framework of genetic network programming and multi-layer perceptron neural network for prediction of daily stock return: An application in Tehran stock exchange market 2020Creative accounting a tool for financial crime: a review of the techniques and its effects 2019Institutional Investors, Real Earnings Management and Cost of Equity: Evidence from Listed High-tech Firms in China 2015An alternative model for the analysis of detecting electronic industries earnings management using stepwise regression, random forest, and decision tree 2015Detecting biotechnology industry's earnings management using Bayesian network, principal component analysis, back propagation neural network, and decision tree

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Year2012

Typearticle

Published2012-02-23

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations62

Files0 public / 0

ShelfAuditing, Earnings Management, Governance

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doi10.1016/j.eswa.2012.02.096

openalex_workW2103153715

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