Hostname: page-component-848d4c4894-pftt2 Total loading time: 0 Render date: 2024-05-01T01:01:22.477Z Has data issue: false hasContentIssue false

Modelling Mortgage Insurance Claims Experience: A Case Study

Published online by Cambridge University Press:  29 August 2014

Greg Taylor*
Affiliation:
A Coopers & Lybrand research report
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Mortgage insurance indemnifies a mortage lender against loss on default by the borrower. The sequence of events leading to a claim under this type of insurance is relatively complex, depending not only on the credit worthiness of the borrower but also on a number of external economic factors.

Prominent among these external factors are the loan to valuation ratio of the insured loan, the disposable income of the borrower, and movements in property values. A broad theoretical model of the functional dependencies of claim frequency and average claim size on these variables is established in Sections 6 and 7. Section 8 fits these models, extended by other “internal” variables such as the geographic location of the mortgaged property, to a real data set.

Section 9 compares the fitted model with the data, and finds an acceptable fit despite extreme fluctuations in the claims experience recorded in the data set.

Type
Workshop
Copyright
Copyright © International Actuarial Association 1994