ANALYSIS OF SCORING AND RATING MODELS USING NEURAL NETWORKS
Anatoliy Antonov, Ventsislav Nikolov
Pages: 105-118
Published: 12 Sep 2018
Views: 1,617
Downloads: 267
Abstract: This research paper investigates an approach for analysis of an established system to determine credit rating and scoring, according to regulatory requirements. For this purpose, a model of a neural network is used, on which the realized logic is transferred. According to the properties of the model, sensitivities, significance, independency and other parameters of the input factors are determined.
Keywords: credit rating, scoring, regulatory requirements, analysis of the factors
Cite this article: Anatoliy Antonov, Ventsislav Nikolov. ANALYSIS OF SCORING AND RATING MODELS USING NEURAL NETWORKS. Journal of International Scientific Publications: Economy & Business 12, 105-118 (2018). https://www.scientific-publications.net/en/article/1001723/
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