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Advisor(s)
Abstract(s)
Purpose - Considered the largest investment for most households, buying a house requires careful and transparent analysis by all parties involved in the transaction. The aim of this paper is to propose
a methodological framework allowing for the readjustment of trade-offs among risk evaluation
criteria, considered of extreme importance in the lending decision process of mortgage loans.
Design/methodology/approach – Multiple criteria decision analysis (MCDA) has proved over the
years to be effective and versatile in handling compensations among criteria. Measuring attractiveness
is applied by a categorical based evaluation technique (MACBETH) to a pre-established structure of
credit-scoring criteria for mortgage lending risk evaluation. This pre-established structure is currently
used by one of the largest banks in Portugal.
Findings – The framework allowed the authors to provide the credit experts who participated in the
study with a more informed, transparent and accurate mortgage-lending risk-evaluation system. The
sensitivity and robustness analyses carried out also helped in promoting discussion and supporting
the readjustments made.
Research limitations/implications – The study shows the usefulness of using the MACBETH
approach to assist credit analysts in making better informed decisions, and opens avenues for further
research. However, due to the dependence on the participants involved, extrapolations without proper
caution are discouraged.
Practical implications – The credit analysts who participated in this study considered the
framework more discerning in terms of Basel directives.
Originality/value – The integration of MACBETH and credit-scoring mechanisms holds great
potential for risk assessment and decision support. No prior work reporting the application of
MACBETH in terms of mortgage-lending risk-evaluation is known.
Description
Keywords
Decision making Mortgage lending Risk assessment Macbeth MCDA Credit-scoring
Citation
Publisher
Emerald