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An insight into the experimental design for credit risk and corporate bankruptcy prediction systems
Springer (2015-02)Over the last years, it has been observed an increasing interest of the finance and business communities in any application tool related to the prediction of credit and bankruptcy risk, probably due to the need of more ... -
Financial distress prediction using the hybrid associative memory with translation
Elsevier (2016)This paper presents an alternative technique for financial distress prediction systems. The method is based on a type of neural network, which is called hybrid associative memory with translation. While many different ... -
On the use of data filtering techniques for credit risk prediction with instance-based models
Elsevier (2012)Many techniques have been proposed for credit risk prediction, from statistical models to artificial intelligence methods. However, very few research efforts have been devoted to deal with the presence of noise and outliers ... -
Sector concentration risk: A model for estimating capital requirements
Elsevier (2011)The 2004 Basel Committee on Banking Supervision Accord (known as Basel II) provides a common framework for banks to determine their minimum capitalrequirements for solvency purposes. For credit risk (the most important one ...