A Mathematical Method for Deriving the Relative Effect of Serviceability on Default Risk

Graham Andersen and David Chisholm

Papers from arXiv.org

Abstract: The writers propose a mathematical Method for deriving risk weights which describe how a borrower's income, relative to their debt service obligations (serviceability) affects the probability of default of the loan. The Method considers the borrower's income not simply as a known quantity at the time the loan is made, but as an uncertain quantity following a statistical distribution at some later point in the life of the loan. This allows a probability to be associated with an income level leading to default, so that the relative risk associated with different serviceability levels can be quantified. In a sense, the Method can be thought of as an extension of the Merton Model to quantities that fail to satisfy Merton's 'critical' assumptions relating to the efficient markets hypothesis. A set of numerical examples of risk weights derived using the Method suggest that serviceability may be under-represented as a risk factor in many mortgage credit risk models.

Date: 2011-11
New Economics Papers: this item is included in nep-ban and nep-rmg
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1111.5397

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