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Activity Number: 453
Type: Contributed
Date/Time: Tuesday, August 2, 2016 : 3:05 PM to 3:50 PM
Sponsor: Section on Risk Analysis
Abstract #321618
Title: A Spatial Statistical Model to Identify Factors Affecting the Lending Process
Author(s): Karen Liseth Gonzalez Fernandez* and Juan Carlos Salazar Uribe
Companies: Universidad Nacional de Colombia and Universidad Nacional de Colombia
Keywords: Credit scoring ; risk ; lattice models ; spatial statistics

Financial institutions use risk models for measure both credit granting and customer behavior. The possibility of assigning a loan to a person could be assessed through regional economic variables that characterize where the customer comes from. In this work we propose to use a spatial analysis based on lattice models to identify factors that help to build a customer payment profile. To evaluate the performance of this model we compare it with a model which does not include regionalized spatial information. Finally, we illustrate the spatial statistical model using a real database, with credit information, from one important financial institution in Colombia.

Authors who are presenting talks have a * after their name.

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