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 Consumer Credit Scoring. An application using a Hungarian dataset of consumer loans
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Consumer Credit Scoring. An application using a Hungarian dataset of consumer loans

автор ALEXANDRU C. издательство Книга по Требованию Книги
Cтраниц 60        мягкая обложка       
Аннотация:The analysis evaluates comparatively the prediction accuracy of several methods used in consumer credit scoring. I have documented the superior performance of logit and neural estimations. Following Siddiqui (2006), I have used a linear transformation to compute a traditional statistical scorecard. Following the presentation of the main issue in the consumer credit market and the introduction of credit scorecards, I analyze a Hungarian dataset of loans for personal needs. In today's business environment the risk management of consumer lending has become critical to protect the interest of both lenders and consumers. Developing easy to interpret statistical scorecards is essential when the lender has a legal obligation to explain its refusal of an application. I also have found supporting evidence for the use of WOE as inputs in estimating predicted default probabilities.
Автор: ALEXANDRU C.
Издательство: Книга по Требованию
Год:2010
Цена:
1893 руб
Нет в наличии
Поиск: Consumer Credit Scoring. An application using a Hungarian dataset of consumer loans
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
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