Purpose: This paper aims to improve repayment prediction in leasing companies using a deep learning model. Design/Methodology/Approach: In this work, we prepare some models and compare them with other solutions based on artificial intelligence like, multiple regression, decision tree, random forest, bagging classifier. Findings: The developed model enables automatic analysis of large amounts da...

We provide an appropriate comprehensive model for assessing the likely contribution of current US government programs to alleviate homeownership financial distress. In a simulation of five available mortgage distress termination options plus continuation and repayment, the HAMP program appears to foster mortgage mitigation, given our parameter value assumptions, primarily through enabling and e...