A Credit Data Evolution: Evaluating the Predictive Power of Time-Varying Credit Bureau Data
نویسنده
چکیده
منابع مشابه
Comparing Prediction Power of Artificial Neural Networks Compound Models in Predicting Credit Default Swap Prices through Black–Scholes–Merton Model
Default risk is one of the most important types of risks, and credit default swap (CDS) is one of the most effective financial instruments to cover such risks. The lack of these instruments may reduce investment attraction, particularly for international investors, and impose potential losses on the economy of the countries lacking such financial instruments, among them, Iran. After the 2007 fi...
متن کاملImproved Automatic Clustering Using a Multi-Objective Evolutionary Algorithm With New Validity measure and application to Credit Scoring
In data mining, clustering is one of the important issues for separation and classification with groups like unsupervised data. In this paper, an attempt has been made to improve and optimize the application of clustering heuristic methods such as Genetic, PSO algorithm, Artificial bee colony algorithm, Harmony Search algorithm and Differential Evolution on the unlabeled data of an Iranian bank...
متن کاملA time-dependent proportional hazards survival model for credit risk analysis
In the consumer credit industry, assessment of default risk is critically important for the financial health of both the lender and the borrower. Methods for predicting risk for an applicant using credit bureau and application data, typically based on logistic regression or survival analysis, are universally employed by credit card companies. Because of the manner in which the predictive models...
متن کاملA Comparative Study of Data Mining Techniques in Predicting Consumers Credit Card Risk in Banks
It is increasingly important for banks to analyze and understand their risk’s portfolio, in particularly those related to credit card as it is one of those instruments that provide the highest return as well as potentially, most risky. The competitive level for the credit card business have increased significantly in the last few years due to the push by the banks to brought forth many new diff...
متن کاملIdentifying patterns of the dynamic credit risk of banks customers and financial institutions: case study- an Iranian bank
Credit risk assessment has always been one of the most important concerns of banks. Widely used models such as financial models have been used to assess credit risk so far. But increasing non-performing loans indicates that today these models cannot assess the credit risk of customers. Inconstant and uncertain environmental, social and political factors affect customer behavior and change custo...
متن کامل