Semi-Supervised Learning Classification Based on Generalized Additive Logistic Regression for Corporate Credit Anomaly Detection
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3035128
Abstract: Conventional corporate credit evaluation models are primarily based solely on financial variables in conjunction with supervised learning methods. However, the acquisition of the labeled sample information required by supervised learning methods is generally a costly… read more here.
Keywords: financial variables; credit anomaly; supervised learning; corporate credit ... See more keywords
Measuring bank efficiency and market power in the household and corporate credit markets considering credit risks
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DOI: 10.1556/032.2018.68.2.1
Abstract: The aim of this paper is to estimate the efficiency of Hungarian banks with several models and to calculate the Lerner index for both the household and the corporate credit market. We apply stochastic frontier… read more here.
Keywords: credit; market; household corporate; efficiency ... See more keywords