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Ordinal Pairwise Partitioning (OPP) Approach to Neural Networks Training in Bond rating
1 references·9 citing·44 second hop
Ordinal Pairwise Partitioning (OPP) Approach to Neural Networks Training in Bond rating (1997)Ordinal Pairwise Partitioning (OPP) Appro…Statistical Models of Bond Ratings: A Methodological Inquiry (1979)Statistical Models of Bond Ra…Do credit ratings influence the demand/supply of audit effort? (2020)Do credit ratings influence t…The predictive accuracy of Sukuk ratings; Multinomial Logistic and Neural Network inferences (2015)The predictive accuracy of Su…Forecasting bank credit ratings (2014)Forecasting bank credit ratin…A Corporate Credit Rating Model Using Support Vector Domain Combined with Fuzzy Clustering Algorithm (2012)A Corporate Credit Rating Mod…Credit rating modelling by kernel-based approaches with supervised and semi-supervised learning (2010)Credit rating modelling by ke…Downloads and citations in Intelligent Systems in Accounting, Finance and Management (2009)Downloads and citations in In…A practical approach to bankruptcy prediction for small businesses: Substituting the unavailable financial data for credit card sales information (2009)A practical approach to bankr…Bond rating using support vector machine (2006)Bond rating using support vec…Predicting bond ratings using publicly available information (2005)Predicting bond ratings using…A MULTIVARIATE ANALYSIS OF INDUSTRIAL BOND RATINGS (1973)CLASSIFICATION MODELS AND BOND RATINGS (1985)Predicting Bond Ratings Using Neural Networks: A Comparison with Logistic Regression (1997)Improving option price forecasts with neural networks and support vector regressions (2009)Empirical research on corporate credit-ratings: A literature review (2013)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Neural Networks: A New Tool for Predicting Thrift Failures* (1992)Are rating agencies’ assignments opaque? Evidence from international banks (2010)EU Banks Rating Assignments: Is There Heterogeneity between New and Old Member Countries? (2010)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit scoring with a data mining approach based on support vector machines (2006)Credit rating analysis using adaptive fuzzy rule-based systems: an industry-specific approach (2011)Extended Modeling of Banks’ Credit Ratings (2016)Predicting corporate investment/non-investment grade by using interval-valued fuzzy rule-based systems—A cross-region analysis (2017)Financial Ratios As Predictors of Failure (1966)Comparison of Bayesian and regression approaches to the study of information processing in judgment (1971)Linear models in decision making. (1974)Determinants and Impact of Sovereign Credit Ratings (1996)The Long‐Run Stock Returns Following Bond Ratings Changes (2001)Does Corporate Social Responsibility (CSR) Improve Credit Ratings? Evidence from Geographic Identification (2013)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Predicting business failure using support vector machines with straightforward wrapper: A re-sampling study (2011)Bond rating: A non-conservative application of neural networks (1988)Ratings based Inference and Credit Risk: Detecting likely-to-fail Banks with the PC-Mahalanobis Method (2016)Every Corporation Owns Its Image: Corporate Credit Ratings via Convolutional Neural Networks (2020)Fuzzy sets (1965)Fuzzy sets (1996)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)A tripartite inquiry into volatility-efficiency-integration nexus - case of emerging markets (2017)Identifying the determinants of Malaysian corporateSukukrating (2018)Developing financial disclosure quality in sukuk and bond market: Evidence from Indonesia, Malaysia, and Australia (2019)Auditor size and audit quality (1981)Managing Legitimacy: Strategic and Institutional Approaches (1995)The Effect of Audit Quality on Earnings Management* (1998)Machine learning in corporate credit rating assessment using the expanded audit report (2022)Social trust and the demand for audit quality (2023)The interplay of real earnings management, internal control and credit ratings in China (2025)What is a Citation Worth? (1986)Stock Price Prediction Using Prior Knowledge and Neural Networks (1997)Combining data and text mining techniques for analysing financial reports (2004)Comparing Downloads, Mendeley Readership and Google Scholar Citations as Indicators of Article Performance (2017)
this work references cited by second hop

References

  • 1979Statistical Models of Bond Ratings: A Methodological Inquiry651 cited

Cited by

  • 2005Predicting bond ratings using publicly available information55 cited
  • 2015The predictive accuracy of Sukuk ratings; Multinomial Logistic and Neural Network inferences54 cited
  • 2006Bond rating using support vector machine44 cited
  • 2010Credit rating modelling by kernel-based approaches with supervised and semi-supervised learning38 cited
  • 2014Forecasting bank credit ratings35 cited
  • 2009A practical approach to bankruptcy prediction for small businesses: Substituting the unavailable financial data for credit card sales information29 cited
  • 2020Do credit ratings influence the demand/supply of audit effort?28 cited
  • 2012A Corporate Credit Rating Model Using Support Vector Domain Combined with Fuzzy Clustering Algorithm17 cited
  • 2009Downloads and citations in Intelligent Systems in Accounting, Finance and Management16 cited

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