A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers

No abstract is available for this paper.

• Publication year

  2000

• Venue

  International Journal of Forecasting

• Publication date

  2000-04-01

• Fields of study

  Business, Economics

• Identifiers
  DOI 10.1016/S0169-2070(00)00034-0
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Categorical Data Analysis

  2003cited by this paper
• The demand for household debt in the USA: evidence from the 1995 Survey of Consumer Finance

  2001influential reference
• Bayesian networks applied to credit scoring

  2000cited by this paper
• Credit scoring using neural and evolutionary techniques

  2000cited by this paper
• Not if but when will borrowers default

  1999cited by this paper
• Integer programming methods for normalisation and variable selection in mathematical programming discriminant analysis models

  1999cited by this paper
• Discriminant analysis when the classes arise from a continuum

  1998cited by this paper
• Graphical models in credit scoring.

  1998cited by this paper
• Graphical models of applicants for credit

  1997cited by this paper
• Development of Statistical Discriminant Mathematical Programming Model Via Resampling Estimation Techniques

  1997cited by this paper
• What to Learn from Near Misses: An Inductive Learning Approach to Credit Risk Assessment

  1997cited by this paper
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  1997cited by this paper
• Data mining

  1997cited by this paper
• Credit Scoring Models in the Credit Union Environment Using Neural Networks and Genetic Algorithms

  1997cited by this paper
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  1996cited by this paper
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  1996cited by this paper
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  1996cited by this paper
• A comparison of neural networks and linear scoring models in the credit union environment

  1996cited by this paper
• Statistical aspects of credit scoring

  1995influential reference
• Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)

  1994cited by this paper
• Quantitative Methods in Credit Management: A Survey

  1994influential reference
• Neural Networks: A Review from a Statistical Perspective

  1994cited by this paper
• A Missing Information Principle and $M$-Estimators in Regression Analysis with Censored and Truncated Data

  1994cited by this paper
• Book reviewRisk: Analysis, assessment and management: Wiley, Chichester, 1992, 220 pages, £24.95

  1994cited by this paper
• Can reject inference ever work

  1993cited by this paper
• Detecting credit card fraud using expert systems

  1993cited by this paper
• Empirical Bayes analysis of the commercial loan evaluation process

  1993cited by this paper
• Mathematical Programming in Neural Networks

  1993cited by this paper
• Reject inference applied to logistic regression for credit scoring

  1993cited by this paper
• Evolving Bayesian classifiers for credit control—a comparison with other machine-learning methods

  1993cited by this paper
• The Degradation of the Scorecard over the Business Cycle

  1992cited by this paper
• The flat-maximum effect and generic linear scoring models: a test

  1992cited by this paper
• A comparison of the classical and the linear programming approaches to the classification problem in discriminant analysis

  1992cited by this paper
• Machine-learning algorithms for credit-card applications

  1992cited by this paper
• Managerial Applications of Neural Networks: The Case of Bank Failure Predictions

  1992cited by this paper
• Three Essays on Contingent Claims Pricing

  1992influential reference
• C4.5: Programs for Machine Learning

  1992cited by this paper
• A survey of decision tree classifier methodology

  1991cited by this paper
• Categorical Data Analysis

  1991cited by this paper
• Mathematical Programming Approaches for the Classification Problem in Two-Group Discriminant Analysis.

  1990cited by this paper
• Credit Granting: A Comparative Analysis of Classification Procedures

  1987cited by this paper
• Note-The Bierman-Hausman Credit Granting Model: A Note

  1987cited by this paper
• Assessing Credit Card Applications Using Machine Learning

  1987cited by this paper
• The flat maximum effect and linear scoring models for prediction

  1986influential reference
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  1986cited by this paper
• A linear programming alternative to discriminant analysis in credit scoring

  1985cited by this paper
• A Robust Credit Screening Model Using Categorical Data

  1985influential reference
• Testing the Adequacy of Markov Chain and Mover-Stayer Models as Representations of Credit Behavior

  1985cited by this paper
• An Examination of the Conceptual Issues Involved in Developing Credit-Scoring Models

  1983cited by this paper
• Credit Scoring Systems: A Critical Analysis

  1982influential reference
• Discrimination and Classification

  1982cited by this paper
• Simple but powerful goal programming models for discriminant problems

  1981cited by this paper
• Applications and Implementation

  1981cited by this paper
• Reducing Uncollectible Revenue from Residential Telephone Customers

  1981cited by this paper
• Note-On the Cyert-Davidson-Thompson Doubtful Accounts Model

  1981cited by this paper
• A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior

  1980cited by this paper
• Equal Credit Opportunity Act

  1979cited by this paper
• Linear regression with censored data

  1979cited by this paper
• The Use of Exponentially-Smoothed Transition Matrices to Improve Forecasting of Cash Flows from Accounts Receivable

  1978cited by this paper
• Problems in applying discriminant analysis in credit scoring models

  1978cited by this paper
• Credit Scoring and the Equal Credit Opportunity Act

  1978cited by this paper
• Equal Credit Opportunity Act Amendments of 1976

  1977cited by this paper
• PITFALLS IN THE APPLICATION OF DISCRIMINANT ANALYSIS IN BUSINESS, FINANCE, AND ECONOMICS

  1977cited by this paper
• An Extension of the Bierman-Hausman Model for Credit Granting

  1976influential reference
• Discrimination and Classification Using Both Binary and Continuous Variables

  1975cited by this paper
• The Pricing of Options and Corporate Liabilities

  1973cited by this paper
• The Credit Granting Decision

  1970cited by this paper
• A Nonparametric Approach to Credit Screening

  1970cited by this paper
• The Formulation of Credit Policy Models

  1968cited by this paper
• Linear and Nonlinear Separation of Patterns by Linear Programming

  1965cited by this paper
• The Development of Numerical Credit Evaluation Systems

  1963cited by this paper
• Estimation of the Allowance for Doubtful Accounts by Markov Chains

  1962influential reference
• Risk elements in consumer instalment financing

  1942cited by this paper
• THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS

  1936cited by this paper
• Statistics for Finance

  year unknowncited by this paper

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