VALIDATION PROCESS FOR SCORING AND RATING MODELS USING NEURAL NETWORKS
Anatoliy Antonov, Ventsislav Nikolov
Страницы: 95-104
Опубликовано: 12 Sep 2018
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Аннотация: This research paper investigates the validation and calibration of models for determination of credit scoring and rating with statistical methods. This is done through a comparison of the results of the model to an alternative model, based on a neural network, and a calculation of different statistical parameters. A prototype of a software system for analysis and evaluations is represented that calculates distance, standard deviation, correlation, cumulative accuracy profile (CAP), as well as accumulation and analysis of historical statistics for default losses.
Ключевые слова: credit rating, scoring, validation, analysis, calibration, neural networks
Цитировать эту статью: Anatoliy Antonov, Ventsislav Nikolov. VALIDATION PROCESS FOR SCORING AND RATING MODELS USING NEURAL NETWORKS. Journal of International Scientific Publications: Economy & Business 12, 95-104 (2018). https://www.scientific-publications.net/en/article/1001722/
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