Computer Implemented Method for Estimating Age-Period-Cohort Models on Account-Level Data
AssigneeDeep Future Analytics, LLC
InventorJoseph L. Breeden
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AssigneeDeep Future Analytics, LLC
InventorJoseph L. Breeden
Estimating the term…
A computer-implemented method and invention for calculating a loan-level model with the age, period, and cohort functions found in the structure of an Age-Period-Cohort models. The invention uses one observation per account per time period, processed with a uniquely structured set of basis functions, so that the model may be estimated with either Generalized Linear Models (GLM) or Generalized Linear Mixed Models (GLMM). The model created by the invention may be used for account-level forecasting or stress testing of the defined performance variable if the historic extrapolation of the period function is detrended, the age and cohort functions are re-estimated appropriately, and a suitable scenario for the future of the period function. Scores may also be created by combining traditional scoring inputs with an account-level offset computed as the sum of the age and period functions at each time point.
A machine for estimating the future behavior of account data comprising:
The use of the age and period functions to compute an account-level offset for creating scores.
The use of additional historical macroeconomic data to stabilize the estimation of the period function and adjust the age and cohort functions to compensate.
Dependencies are inferred from the claim text.