Customer life time value (CLV) and delinquency behavior are two of the most important firm key performance indicators at the banking industry, and at any other business scenario in which customers are granted credits or loans. Coordination in decisions regarding these two important variables is essential to achieve overall firm performance. We develop a dynamic method that allows simultaneous coordination between CLV and credit risk management decisions while taking into account their time varying behavior, the observed and unobserved customer heterogeneity, and the panel data structure inherent to the CLV-credit risk context. The method, which is a combination of the extended Kalman filter for exponential family of distributions and a fixed effects model has not been illustrated and/or implemented before. Therefore, we show its validity form a theoretical and computational point of view, and how its results can be interpreted to make the desired decision coordination task using synthetic data.
Agregar etiquetas para Credit value on the presence of credit risk: a dynamic method to coordinate customer life time value and credit risk management decisions = Valor del cliente en presencia de riesgo de crédito