Abstract: Systems, methods, and computer program products are provided for customer loan lifecycle modeling using discrete event simulation methodology. Discrete Event Simulation (DES) allows for modeling to occur at the customer and/or account level, such that the process captures customer-specific or loan-specific attributes/exposure factors, such as, but not limited to, credit score(s), House Price Index (HPI), loan product type, unemployment rates, interest rates and the like. Such modeling takes into the account that loan events occur at random paces and are typically dependent on ancillary factors, such as, availability of financial resources, market demand, customer attributes and the like, which all tend to be stochastic by nature.

Abstract: Systems, methods, and computer program products are provided for customer loan lifecycle modeling using discrete event simulation methodology. Discrete Event Simulation (DES) allows for modeling to occur at the customer and/or account level, such that the process captures customer-specific or loan-specific attributes/risk factors, such as, but not limited to, credit score(s), House Price Index (HPI), loan product type, unemployment rates, interest rates and the like. Such modeling takes into the account that loan events occur at random paces and are typically dependent on ancillary factors, such as, availability of financial resources, market demand, customer attributes and the like, which all tend to be stochastic by nature.