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Machine learning in corporate credit rating assessment using the expanded audit report · Study

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ArticleMachine learning in corporate credit rating assessment using the expanded audit report

Nora Muñoz‐Izquierdo2022

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Articlebronze2022

Machine learning in corporate credit rating assessment using the expanded audit report

Nora Muñoz‐Izquierdo · María Jesús Segovia Vargas · María‐del‐Mar Camacho‐Miñano · Yolanda Pérez Pérez

23 citations·0/0 files stored·Machine Learning

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Financial Distress and Bankruptcy Prediction Auditing, Earnings Management, Governance Credit Risk and Financial Regulations

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References

2000Investor protection and corporate governance 1981Auditor size and audit quality 2006The effects of corporate governance on firms’ credit ratings 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review 2000Neural network credit scoring models 2003Credit rating analysis with support vector machines and neural networks: a market comparative study 2016Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z‐ Score Model 200535 years of studies on business failure: an overview of the classic statistical methodologies and their related problems

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2020A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision treesarticle · 10 shared references 2019Does audit report information improve financial distress prediction over Altman's traditional Z‐Score model?article · 10 shared references 2019Is the External Audit Report Useful for Bankruptcy Prediction? Evidence Using Artificial Intelligencearticle · 10 shared references 2018Explaining the causes of business failure using audit report disclosuresarticle · 10 shared references 2023Are key audit matter disclosures useful in assessing the financial distress level of a client firm?article · 9 shared references 2014Two-stage credit rating prediction using machine learning techniquesarticle · 8 shared references

Details

Year2022

Typearticle

Published2022-09-30

VenueMachine Learning

ISSN-L0885-6125

Languageen

Citations23

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1007/s10994-022-06226-4

openalex_workW4298091990

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