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Is the regulatory downturn LGD adequate? : performance analysis and alternative methods

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Comparison of credit scoring models on probability of default estimation for US banks

Gurný, Petr; Gurný, Martin - In: Prague economic papers : a bimonthly journal of … 22 (2013) 2, pp. 163-181

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Credit scoring models for a Tunisian microfinance institution : comparison between artificial neural network and logistic regression

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A comparison of strategies to develop a customer default scoring model

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Logistic regression analysis of predictors of loan defaults by customers of non-traditional banks in Ghana

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Credit scoring and default risk prediction : a comparative study between discriminant analysis & logistic regression

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A comparison of credit scoring techniques in Peer-to-Peer lending

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An implementation of ensemble methods, logistic regression, and neural network for default prediction in peer-to-peer lending

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Linear discriminant analysis and logistic regression for default probability prediction : the case of an Italian local bank

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Some insights about the applicability of logistic factorisation machines in banking

Slabber, Erika; Verster, Tanja; De Jongh, Riaan - In: Risks : open access journal 11 (2023) 3, pp. 1-21

Logistic regression is a very popular binary classification technique in many industries, particularly in the financial service industry. It has been used to build credit scorecards, estimate the probability of default or churn, identify the next best product in marketing, and many more...

Persistent link: https://www.econbiz.de/10014246272