Social credit: a comprehensive literature review

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[2]  Lean Yu,et al.  A total least squares proximal support vector classifier for credit risk evaluation , 2013, Soft Comput..

[3]  Lu Han,et al.  Orthogonal support vector machine for credit scoring , 2013, Eng. Appl. Artif. Intell..

[4]  Marcel Fratzscher,et al.  The Pricing of Sovereign Risk and Contagion During the European Sovereign Debt Crisis , 2012, SSRN Electronic Journal.

[5]  Rafael Pino-Mejías,et al.  Credit scoring models for the microfinance industry using neural networks: Evidence from Peru , 2013, Expert Syst. Appl..

[6]  Ling Tang,et al.  Country risk forecasting for major oil exporting countries: A decomposition hybrid approach , 2012, Comput. Ind. Eng..

[7]  Jianping Li,et al.  Evolution strategy based adaptive Lq penalty support vector machines with Gauss kernel for credit risk analysis , 2012, Appl. Soft Comput..

[8]  Kin Keung Lai,et al.  Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection , 2011, Expert Syst. Appl..

[9]  K. K. Jain,et al.  Neural network credit scoring model for micro enterprise financing in India , 2011 .

[10]  Gerhard-Wilhelm Weber,et al.  CMARS and GAM & CQP - Modern optimization methods applied to international credit default prediction , 2011, J. Comput. Appl. Math..

[11]  R. Jarrow,et al.  Credit rating accuracy and incentives , 2010 .

[12]  Wuyi Yue,et al.  Support vector machine based multiagent ensemble learning for credit risk evaluation , 2010, Expert Syst. Appl..

[13]  Yi-Chung Hu,et al.  Comparing four bankruptcy prediction models: Logit, quadratic interval logit, neural and fuzzy neural networks , 2010, Expert Syst. Appl..

[14]  Lean Yu,et al.  A Modified Least Squares Support Vector Machine Classifier with Application to Credit Risk Analysis , 2009, Int. J. Inf. Technol. Decis. Mak..

[15]  R. Smyth,et al.  An Emerging Credit-Reporting System in China , 2009 .

[16]  M. Schindler,et al.  Who Benefits from Capital Account Liberalization? Evidence from Firm-Level Credit Ratings Data , 2009 .

[17]  Ying Zhang,et al.  A online credit evaluation method based on AHP and SPA , 2009 .

[18]  Kin Keung Lai,et al.  An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring , 2009, Eur. J. Oper. Res..

[19]  Lin Ma,et al.  Mining the customer credit using hybrid support vector machine technique , 2009, Expert Syst. Appl..

[20]  Jonathan Crook,et al.  Support vector machines for credit scoring and discovery of significant features , 2009, Expert Syst. Appl..

[21]  Chun-Ling Chuang,et al.  Constructing a reassigning credit scoring model , 2009, Expert Syst. Appl..

[22]  Fotios Pasiouras,et al.  The Prediction of Bank Acquisition Targets with Discriminant and Logit Analyses: Methodological Issues and Empirical Evidence , 2009 .

[23]  Martin Brown,et al.  The Emergence of Information Sharing in Credit Markets , 2008 .

[24]  François Bousquet,et al.  Multi-agent simulations to explore rules for rural credit in a highland farming community of Northern Thailand , 2008, Ecological Economics.

[25]  Kin Keung Lai,et al.  Bio-Inspired Credit Risk Analysis , 2008 .

[26]  Mu-Chen Chen,et al.  Credit scoring with a data mining approach based on support vector machines , 2007, Expert Syst. Appl..

[27]  Marco Fioramanti,et al.  Predicting Sovereign Debt Crises Using Artificial Neural Networks: A Comparative Approach , 2006 .

[28]  Johan A. K. Suykens,et al.  Faculteit Economie En Bedrijfskunde Hoveniersberg 24 B-9000 Gent Bayesian Kernel-based Classification for Financial Distress Detection Dirk Van Den Poel 4 Bayesian Kernel Based Classification for Financial Distress Detection , 2022 .

[29]  Sheng-Tun Li,et al.  The evaluation of consumer loans using support vector machines , 2006, Expert Syst. Appl..

[30]  Jih-Jeng Huang,et al.  Two-stage genetic programming (2SGP) for the credit scoring model , 2006, Appl. Math. Comput..

[31]  Tian-Shyug Lee,et al.  Mining the customer credit using classification and regression tree and multivariate adaptive regression splines , 2006, Comput. Stat. Data Anal..

[32]  C ONG,et al.  Building credit scoring models using genetic programming , 2005, Expert Syst. Appl..

[33]  Ralf Stecking,et al.  Support vector machines for classifying and describing credit applicants: detecting typical and critical regions , 2005, J. Oper. Res. Soc..

[34]  R. Hunt.  A Century of Consumer Credit Reporting in America , 2005 .

[35]  Nan-Chen Hsieh,et al.  Hybrid mining approach in the design of credit scoring models , 2005, Expert Syst. Appl..

[36]  Tian-Shyug Lee,et al.  A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines , 2005, Expert Syst. Appl..

[37]  Li-Chiu Chi,et al.  Predicting multilateral trade credit risks: comparisons of Logit and Fuzzy Logic models using ROC curve analysis , 2005, Expert Syst. Appl..

[38]  Yi Peng,et al.  Discovering Credit Cardholders’ Behavior by Multiple Criteria Linear Programming , 2005, Ann. Oper. Res..

[39]  Juliana Yim,et al.  Comparison of country risk models: hybrid neural networks, logit models, discriminant analysis and cluster techniques , 2005, Expert Syst. Appl..

[40]  Young-Chan Lee,et al.  A practical approach to credit scoring , 2008, Expert Syst. Appl..

[41]  Soushan Wu,et al.  Credit rating analysis with support vector machines and neural networks: a market comparative study , 2004, Decis. Support Syst..

[42]  R. Avery,et al.  Credit report accuracy and access to credit , 2004 .

[43]  R. Jankowitsch,et al.  Modelling the Economic Value of Credit Rating Systems , 2004 .

[44]  J. Suykens,et al.  Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research , 2015, Eur. J. Oper. Res..

[45]  Mu-Chen Chen,et al.  Credit scoring and rejected instances reassigning through evolutionary computation techniques , 2003, Expert Syst. Appl..

[46]  Bart Baesens,et al.  Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation , 2003, Manag. Sci..

[47]  Chih-Chou Chiu,et al.  Credit scoring using the hybrid neural discriminant technique , 2002, Expert Syst. Appl..

[48]  S. Uryasev,et al.  Credit cards scoring with quadratic utility functions , 2002 .

[49]  Paul M. Vaaler,et al.  The price of democracy: sovereign risk ratings, bond spreads and political business cycles in developing countries , 2004 .

[50]  C. Zopounidis,et al.  Assessing country risk using a multi‐group discrimination method: a comparative analysis , 2001 .

[51]  M. Petersen,et al.  Does Distance Still Matter? The Information Revolution in Small Business Lending , 2000 .

[52]  J. Crook,et al.  Credit scoring using neural and evolutionary techniques , 2000 .

[53]  John C. B. Cooper.  Artificial neural networks versus multivariate statistics: An application from economics , 1999 .

[54]  Selwyn Piramuthu,et al.  Financial credit-risk evaluation with neural and neurofuzzy systems , 1999, Eur. J. Oper. Res..

[55]  Sankar K. Pal,et al.  Unsupervised feature selection using a neuro-fuzzy approach , 1998, Pattern Recognit. Lett..

[56]  Jakob de Haan,et al.  Political instability and country risk: new evidence , 1997 .

[57]  Franklin Allen,et al.  Bubbles and Crises , 1997 .

[58]  Jonathan Crook,et al.  Credit Scoring Models in the Credit Union Environment Using Neural Networks and Genetic Algorithms , 1997 .

[59]  E. Mizutani,et al.  Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review] , 1997, IEEE Transactions on Automatic Control.

[60]  David J. Hand,et al.  Construction of a k-nearest-neighbour credit-scoring system , 1997 .

[61]  Edward I. Altman,et al.  An International Survey of Business Failure Classification Models , 1997 .

[62]  Vijay S. Desai,et al.  A comparison of neural networks and linear scoring models in the credit union environment , 1996 .

[63]  Ingoo Han,et al.  Hybrid neural network models for bankruptcy predictions , 1996, Decis. Support Syst..

[64]  Kaisa Sere,et al.  Neural networks and genetic algorithms for bankruptcy predictions , 1996 .

[65]  Ingoo Han,et al.  Integration of Case-based Forecasting, Neural Network, and Discriminant Analysis for Bankruptcy Prediction , 1996 .

[66]  Suran Asitha Goonatilake,et al.  Intelligent Systems for Finance and Business , 1995 .

[67]  Richard J. Taffler,et al.  Banker judgement versus formal forecasting models: The case of country risk assessment , 1995 .

[68]  Cliff T. Ragsdale,et al.  Combining Neural Networks and Statistical Predictions to Solve the Classification Problem in Discriminant Analysis , 1995 .

[69]  Ramesh Sharda,et al.  Bankruptcy prediction using neural networks , 1994, Decis. Support Syst..

[70]  Erol M. Balkan.  Political instability, country risk and probability of default , 1992 .

[71]  Melody Y. Kiang,et al.  Managerial Applications of Neural Networks: The Case of Bank Failure Predictions , 1992 .

[72]  Alexander Gammerman,et al.  Machine-learning algorithms for credit-card applications , 1992 .

[73]  R. C. West.  A factor-analytic approach to bank condition , 1985 .

[74]  R. Taffler,et al.  Country Risk: A Model for Predicting Debt Servicing Problems in Developing Countries , 1984 .

[75]  Reinhart Schmidt,et al.  Early warning of debt rescheduling , 1984 .

[76]  James H. Scott.  The probability of bankruptcy: A comparison of empirical predictions and theoretical models , 1981 .

[77]  J. Stiglitz,et al.  Credit Rationing in Markets with Imperfect Information , 1981 .

[78]  Frank Rimlinger,et al.  Nonparametric Estimates of LDC Repayment Prospects , 1979 .

[79]  Richard E. Just,et al.  A study of debt servicing capacity applying logit analysis , 1977 .

[80]  Charles R. Frank,et al.  Measurement of debt servicing capacity: An application of discriminant analysis , 1971 .

[81]  Samprit Chatterjee,et al.  A Nonparametric Approach to Credit Screening , 1970 .

[82]  Edward I. Altman,et al.  FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY , 1968 .

[83]  W. Beaver.  Financial Ratios As Predictors Of Failure , 1966 .

[84]  O. Mangasarian.  Linear and Nonlinear Separation of Patterns by Linear Programming , 1965 .

[85]  桜井 欣一郎.  Financial aspects of economic development of Japan, 1868-1958 , 1964 .

[86]  E. Shaw,et al.  FINANCIAL INTERMEDIARIES AND THE SAVING-INVESTMENT PROCESS† , 1956 .

[87]  C. Magruder.  The Position of Shareholders in Business Trusts , 1923 .