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Using multiple correspondence analysis for finance: A tool for assessing financial inclusion
journal contribution
posted on 2023-05-19, 22:28 authored by Dungey, M, Tchatoka, FD, Maria YanottiMaria YanottiThis 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.
Funding
Australian Research Council
History
Publication title
International Review of Financial AnalysisVolume
59Pagination
212-222ISSN
1057-5219Department/School
TSBEPublisher
Elsevier BVPlace of publication
NetherlandsRights statement
Crown Copyright © 2018 Published by Elsevier IncRepository Status
- Restricted