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Abstract

This paper introduces multiple correspondence analysis (MCA) to the literature on financial product choice. MCA is a useful way of assessing the typology of actual or potential consumers, which can then be used to assess the extent to which existing products cover consumer needs. Given the importance of the financial inclusion agenda, this provides a useful means of detecting areas of financial under-servicing. An illustration using bank mortgage data shows how some groups are well-serviced, but others suffer from mismatch between the characteristics of the available and desirable products.

Item Type:	Article
Authors/Creators:	Dungey, M and Tchatoka, FD and Yanotti, M
Keywords:	multiple correspondence analysis, cluster analysis, mortgage choice
Journal or Publication Title:	International Review of Financial Analysis
Publisher:	Elsevier BV
ISSN:	1057-5219
DOI / ID Number:	https://doi.org/10.1016/j.irfa.2018.08.007
Copyright Information:	Crown Copyright © 2018 Published by Elsevier Inc
Related URLs:	Google Scholar: Dungey, M UTAS Profile: Dungey, M Google Scholar: Yanotti, M UTAS Profile: Yanotti, M
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