Malaysian residential mortgage loan default: a micro-level analysis

Residential Mortgage Default

although default rates on residential mortgages have been relatively low in recent years, policymakers and economists should still be concerned about mortgage default for several reasons. First, while the foreclosure rate in the u.s. has averaged only 1 percent over the past 20 years, there have been dramatic swings in regional default rates over this period. For example, in the early 1990s for...

Mortgage Lending Discrimination and Racial Differences in Loan Default

This article analyzes the use of racial differences in loan default to test for mortgage lending discrimination—an approach whose underlying theory has not been carefully explored. The loan approval process creates a selected sample of loans. If mortgage lenders hold minorities to a higher standard, the minority sample should have greater selection bias than the majority sample and so should ex...

Comments on "Race, Redlining, and Residential Mortgage Loan Performance"

Mortgage Default: Classification Trees Analysis

We introduce the powerful, flexible and efficient nonparametric Classification and Regression Trees (CART) algorithm to the analysis of mortgage default data while conducting the first academic study of mortgage default in Israel. CART’s strengths in dealing with large data sets, high dimensionality, mixed data types, missing data, different relationships between variables in different parts of...

Residential Mortgage Probability of Default Models and Methods