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Using multiple correspondence analysis for finance: A tool for assessing financial inclusion


Dungey, M and Tchatoka, FD and Yanotti, M, Using multiple correspondence analysis for finance: A tool for assessing financial inclusion, International Review of Financial Analysis, 59 pp. 212-222. ISSN 1057-5219 (2018) [Refereed Article]

Copyright Statement

Crown Copyright 2018 Published by Elsevier Inc

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DOI: doi:10.1016/j.irfa.2018.08.007


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 Details

Item Type:Refereed Article
Keywords:multiple correspondence analysis, cluster analysis, mortgage choice
Research Division:Commerce, Management, Tourism and Services
Research Group:Banking, finance and investment
Research Field:Financial econometrics
Objective Division:Economic Framework
Objective Group:Macroeconomics
Objective Field:Monetary policy
UTAS Author:Dungey, M (Professor Mardi Dungey)
UTAS Author:Yanotti, M (Dr Maria Yanotti)
ID Code:129158
Year Published:2018
Funding Support:Australian Research Council (DP120100842)
Web of Science® Times Cited:7
Deposited By:TSBE
Deposited On:2018-11-13
Last Modified:2018-12-14

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