Distinguishing between Good and Bad Subprime Auto Loans Borrowers: The Role of Demographic, Region and Loan Characteristics
Journal Title: Review of Economics & Finance - Year 2017, Vol 10, Issue 4
Abstract
Research on subprime mortgages has recently been gaining momentum, but subprime auto loans have largely been ignored. By using a unique data set of a very large UK vehicle finance company, this study analyses secured loans extended to the subprime borrowers with impaired or limited credit history. It looks specifically at characteristics in relation to payment history, in order to determine what characteristics make a good or bad borrower. We conclude that married and divorced borrowers as well as borrowers living in low unemployment and relatively prosperous regions such as the South East and London are less likely to default compared to not married, furnished tenants or borrowers living in the North West of the UK who have a high probability of default. Similar to the prime loans, income of borrowers and defaults propensities are negatively associated. Loan and security characteristics with the most impact on default status are price and age of the automobile, effective interest rate measured by APR, loan-to-value (LTV) and term of the loan agreement. The results of this study will help in understanding subprime auto loans and borrowers as well as helping lenders to distinguish between good and bad subprime borrowers.
Authors and Affiliations
Yaseen Ghulam, Sophie Hill
Fiscal Policy and Income Distribution: Measurement for Argentina 1995 – 2010
This paper studies the effect of consolidated –national and provincial– fiscal policy on personal income distribution in Argentina, building a novel panel data for 1995-2010. We find that fiscal policy reduces income ine...
Distinguishing between Good and Bad Subprime Auto Loans Borrowers: The Role of Demographic, Region and Loan Characteristics
Research on subprime mortgages has recently been gaining momentum, but subprime auto loans have largely been ignored. By using a unique data set of a very large UK vehicle finance company, this study analyses secured loa...
The Asymmetric Impact of Portfolio Mix on Bank Performance over the Business Cycle: U.S. and Canadian Evidence
We analyze the dynamic linkage between fee-based income and bank performance link-age in the aftermath of the crisis. Surprisingly, our time series approach suggests that the share of fee-based income keeps contributing...
A Mixtured Localized Likelihood Method for GARCH Models with Multiple Change-points
This paper discusses GARCH models with multiple change-points and proposes a mixture localized likelihood method to estimate the piecewise constant GARCH parameters. The proposed method is statistically and computational...
Digital Divide and Income Inequality: A Spatial Analysis
A spatial quantile regression model, which can fully describe the distribution characteristics and spillover effects, is applied to explore the effect of digital divide on the income inequality. Firstly, the estimation r...