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A hybrid KMV model, random forests and rough set theory approach for credit rating

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References

1973The Pricing of Options and Corporate Liabilities29,064 cited
1974ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES*10,779 cited
2004Default Risk in Equity Returns1,997 cited
2004Assessing the Probability of Bankruptcy1,357 cited
2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 cited
1979Statistical Models of Bond Ratings: A Methodological Inquiry651 cited
1999Business failure prediction using rough sets493 cited
1966The Determination of Long-Term Credit Standing with Financial Ratios407 cited
1988Bond rating: A non-conservative application of neural networks268 cited
1969What's in a Bond Rating218 cited
1988Bond rating: a nonconservative application of neural networks213 cited
1970An Alternative Approach to Predicting Corporate Bond Ratings203 cited
2011A corporate credit rating model using multi-class support vector machines with an ordinal pairwise partitioning approach165 cited
2007A market-based framework for bankruptcy prediction154 cited

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