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A study of Taiwan's issuer credit rating systems using support vector machines · Study

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ArticleA study of Taiwan's issuer credit rating systems using support vector machines

Wun-Hwa Chen2005

Article2005

A study of Taiwan's issuer credit rating systems using support vector machines

Wun-Hwa Chen · Jen–Ying Shih

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

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Financial Distress and Bankruptcy Prediction Stock Market Forecasting Methods Credit Risk and Financial Regulations

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References

2001Application of support vector machines in financial time series forecasting 2003Benchmarking state-of-the-art classification algorithms for credit scoring 2001Bankruptcy prediction for credit risk using neural networks: A survey and new results 1973A MULTIVARIATE ANALYSIS OF INDUSTRIAL BOND RATINGS 1966The Determination of Long-Term Credit Standing with Financial Ratios 1988Bond rating: A non-conservative application of neural networks 1988Bond rating: a nonconservative application of neural networks 1970An Alternative Approach to Predicting Corporate Bond Ratings

Cited by

2013A novel time-series model based on empirical mode decomposition for forecasting TAIEX 2008A support vector machine model for contractor prequalification 2012Hybrid models based on rough set classifiers for setting credit rating decision rules in the global banking industry 2007Predicting financial activity with evolutionary fuzzy case-based reasoning 2015CAMELS-based Determinants for the Credit Rating of Turkish Deposit Banks

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Details

Year2005

Typearticle

Published2005-11-17

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations109

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/j.eswa.2005.10.003

openalex_workW2159494272

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2011Effective recognition of control chart patterns in autocorrelated data using a support vector machine based approach

2016A novel corporate credit rating system based on Student’s-t hidden Markov models

2009Financial Crises and Bank Failures: A Review of Prediction Methods