No title
This paper aims to evaluate recent policy updates in a credit scoring model and determine if the new model is efficient, as well as further investigate other potential risk factors. In order to evaluate the policy changes, the proprietary dataset is first categorized and estimated by a logistical regression model and secondly the dataset is transformed according to new policies and then simulated
