Kasilingam B. LAXMANAN - Wilmington DE, US Sherri R. EMERY - Charlotte NC, US Gerald F. PARISE - Cherry Hill NJ, US Jomar C. UGARTE - Bear DE, US Marcus PHILLIPS - Lincoln University PA, US Jun NI - Newark DE, US
Assignee:
BANK OF AMERICA CORPORATION - CHARLOTTE NC
International Classification:
G06Q 10/00 G06F 17/10
US Classification:
705348, 703 2
Abstract:
Methods, computer readable media, and apparatuses for automatically recalibrating risk models are presented. An identifier of a modeling function may be received. The modeling function may have at least one input variable and a first set of one or more coefficients. Updated performance data that includes at least one input value corresponding to the at least one input variable may be received from a data source. Then, a second set of one or more coefficients may be calculated for the modeling function based on the updated performance data. If it is subsequently determined that the modeling function more accurately models the updated performance data when the second set of one or more coefficients is used in computing a result of the modeling function, then the first set of one or more coefficients may be replaced with the second set of one or more coefficients to recalibrate the modeling function.
Kasilingam Basker Laxmanan - Newark DE, US Yudong Chen - Wilmington DE, US Gerald F. Parise - Moorestown NJ, US Lewis Ray Ware - Hockessin DE, US
Assignee:
Bank of America Corporation - Charlotte NC
International Classification:
G06F 9/455
US Classification:
703 22
Abstract:
An enhanced modeling tool associated with an entity may facilitate end-to-end modeling of problems in any application space. The enhanced modeling tool may collect modeling data from a variety of sources, check the collected data, find the best predictor variables for a given target variable, estimate the model, implement the model, and validate the model. The output of each of these steps may be in a standardized format to allow other steps to directly incorporate the output. An additional feature of the system may include a reporting capability that generates supporting documents related to model governance and risk compliance.
Kasilingam B. Laxmanan - Newark DE, US Yudong Chen - Wilmington DE, US Julea K. Duke - Charlotte NC, US Ming Xue - Malvern PA, US
Assignee:
Bank of America Corporation - Charlotte NC
International Classification:
G06F 17/30
US Classification:
707737, 707E17046
Abstract:
According to one embodiment, an apparatus stores a plurality of datapoints. A datapoint comprises a first value and a second value that depends upon the value of the first value. The apparatus associates the datapoint with a group from a plurality of groups. The group is associated with an identifying range and the datapoint is associated with the group based at least in part upon the first value of the datapoint and the identifying range of the group. The apparatus calculates a median of the second values of the datapoints associated with the group and a performance value by performing a regression based at least in part upon the identifying range and the calculated median of the group. The apparatus determines that the performance value exceeds a baseline value and in response, presents, on a display, an illustration depicting the identifying range and the associated median of the group.