Abstract: Provided are systems and methods for partitioning of segments in a consumer credit segmentation tree. Segments can be defined based on regression tree analysis.

Abstract: Methods and systems for optimal partitioning of segments in a consumer credit segmentation tree comprising defining a first attribute-based independent variable on a first tree using a primary dependent variable having two classes, defining a second attribute-based independent variable on the first tree using the primary dependent variable, defining risk tiers for the first attribute-based independent variable on the first tree using a first risk score and the primary dependent variable, defining risk tiers for the second attribute-based independent variable on the first tree using a second risk score and the primary dependent variable, superimposing the first tree structure, based on the primary dependent variable, onto a second tree, and defining profiles in the risk tiers for the second attribute-based independent variable with a profile dependent variable having two classes, completing the second tree, wherein the second tree is used to segment a population according to credit related behavior.

Abstract: Provided are methods and systems by which a data sample can be generated in order to create a true multi-Credit Reporting Agency model, eliminating the biases and variability in traditional multi-CRA models by allowing the creation of a single multi-CRA method which requires neither alignment nor translation to be applicable on all CRAs.

Abstract: Provided are methods and systems by which a data sample can be generated in order to create a true multi-Credit Reporting Agency model, eliminating the biases and variability in traditional multi-CRA models by allowing the creation of a single multi-CRA method which requires neither alignment nor translation to be applicable on all CRAs.

Abstract: Various embodiments of the present invention provide systems and methods for automatically compensating an individual's credit risk score for macroeconomic data. In particular, various embodiments provide systems and methods to determine a macroeconomic risk score. In addition, various embodiments provide systems and methods to determine an adjusted credit risk score for an individual based on the individual's credit risk score and a macroeconomic risk score that serves as a scale adjuster to keep overall delinquency and/or loss rates in line as economic factors change.

Abstract: Provided are methods and systems by which a data sample can be generated in order to create a true multi-Credit Reporting Agency model, eliminating the biases and variability in traditional multi-CRA models by allowing the creation of a single multi-CRA method which requires neither alignment nor translation to be applicable on all CRAs.

Abstract: Various embodiments of the present invention provide systems and methods for automatically compensating an individual's credit risk score for macroeconomic data. In particular, various embodiments provide systems and methods to determine a macroeconomic risk score. In addition, various embodiments provide systems and methods to determine an adjusted credit risk score for an individual based on the individual's credit risk score and a macroeconomic risk score that serves as a scale adjuster to keep overall delinquency and/or loss rates in line as economic factors change.

Abstract: Various embodiments of the present invention provide systems and methods for automatically compensating an individual's credit risk score for macroeconomic data. In particular, various embodiments provide systems and methods to determine a macroeconomic risk score. In addition, various embodiments provide systems and methods to determine an adjusted credit risk score for an individual based on the individual's credit risk score and a macroeconomic risk score that serves as a scale adjuster to keep overall delinquency and/or loss rates in line as economic factors change.

Abstract: Various embodiments of the present invention provide systems and methods for automatically compensating an individual's credit risk score for macroeconomic data. In particular, various embodiments provide systems and methods to determine a macroeconomic risk score. In addition, various embodiments provide systems and methods to determine an adjusted credit risk score for an individual based on the individual's credit risk score and a macroeconomic risk score that serves as a scale adjuster to keep overall delinquency and/or loss rates in line as economic factors change.

Abstract: Provided are systems and methods for partitioning of segments in a consumer segmentation tree. Segments can be defined based on regression tree analysis.

Abstract: Provided are methods and systems by which a data sample can be generated in order to create a true multi-Credit Reporting Agency model, eliminating the biases and variability in traditional multi-CRA models by allowing the creation of a single multi-CRA method which requires neither alignment nor translation to be applicable on all CRAs.