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Credit scoring and its tools
Zajíčková, Miroslava ; Komárková, Lenka (advisor) ; Dvořák, Jiří (referee)
The aim of this thesis is to compare the scoring models of banking and non-banking institutions when using specific outcomes of the request for a loan of CZK 100 000,- of several natural persons with varying credibility (the credibility of credit). The theoretical part is divided into two chapters, the first deals with the explanation of basic terms (credit, the applicant, bank and non-bank institutions, credit scoring, rating, review on the software used and legislation in the CR). The second chapter is devoted to describe the process of credit scoring, scoring models and a scoring function. The practical part is dedicated to the comparison of two methods for approval of applicants for the loan at the non-bank and bank institutions. The final chapter presents a summary of both methods used for approval and the authoress' subjective evaluation and recommendations for improving both used methods.
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Comparison of approaches to creating credit scoring models
Hofman, Elena ; Šedivý, Jan (advisor)
This work is focused on the management of a credit risk related to the traditional bank lending business to individuals. The paper deals with a theory of measuring risk with help of PD (Probability of Default) parameter when different scoring models are used. The goal is to outline an issue with the credit risk and its management in general, attention is paid to details of a process of creating scoring models. There are three specific modeling techniques listed, namely logistic regression, decision trees and neural networks. Methods are explained in detail and are given possibilities of mutual comparison. The application part is devoted to the evaluation and comparison of credit scoring models based on these methods.
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