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Utilizing historical data for corporate credit rating assessment · Study

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ArticleUtilizing historical data for corporate credit rating assessment

Hyejin Ku2020

Article2020

Utilizing historical data for corporate credit rating assessment

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

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Financial Distress and Bankruptcy Prediction Forecasting Techniques and Applications Credit Risk and Financial Regulations

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References

2003Financial time series forecasting using support vector machines 2000Neural network credit scoring models 2003Benchmarking state-of-the-art classification algorithms for credit scoring 2000A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers 1996A comparison of neural networks and linear scoring models in the credit union environment 2005A new fuzzy support vector machine to evaluate credit risk 2007Credit risk assessment with a multistage neural network ensemble learning approach 2004A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates

Cited by

2023Enriching the green economy through sustainable investments: An ESG-based credit rating model for green financing 2024Corporate financial distress prediction using the risk-related information content of annual reports 2022Developing an integrated fuzzy credit rating system for SMEs using fuzzy-BWM and fuzzy-TOPSIS-Sort-C 2022Assessing and predicting small industrial enterprises’ credit ratings: A fuzzy decision-making approach

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Year2020

Typearticle

Published2020-09-02

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations63

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/j.eswa.2020.113925

openalex_workW3081743379

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2023

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