An MCDA composite index of bank stability using CAMELS ratios and shannon entropy

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dc.citation.volumeLatest Articles
dc.contributor.authorBoubaker S
dc.contributor.authorNgo T
dc.contributor.authorSamitas A
dc.contributor.authorTripe D
dc.date.accessioned2024-05-28T21:31:51Z
dc.date.available2024-05-28T21:31:51Z
dc.date.issued2024-05-09
dc.description.abstractThis study uses the multi-criteria decision-analysis (MCDA) approach to construct a composite performance index (CPI) directly from the CAMELS financial ratios. The CPI has several promising characteristics, such as (i) being an absolute measure of performance that allows for adding or removing data without affecting the existing scores; (ii) employing CAMELS ratios directly in its calculation without the need for normalization or imputation of positive values; (iii) employing the dynamic weighting system of data envelopment analysis (DEA); (iv) providing more robust insights on the Vietnamese banking system under the Shannon entropy approach; and (v) can be an alternative measure of bank stability, compared to the CAMELS ratings and z-scores. Based on a rich dataset of 45 Vietnamese banks spanning from 2002 to 2020, our findings suggest that the proposed CPI could offer an overall view consistent with other approaches for measuring banking sector performance and stability and identifying specific strengths and weaknesses of banks.
dc.description.confidentialfalse
dc.identifier.citationBoubaker S, Ngo T, Samitas A, Tripe D. (2024). An MCDA composite index of bank stability using CAMELS ratios and shannon entropy. Annals of Operations Research. Latest Articles.
dc.identifier.doi10.1007/s10479-024-06023-3
dc.identifier.eissn1572-9338
dc.identifier.elements-typejournal-article
dc.identifier.issn0254-5330
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/69670
dc.languageEnglish
dc.publisherSpringer Science+Business Media, LLC
dc.publisher.urihttps://link.springer.com/article/10.1007/s10479-024-06023-3
dc.relation.isPartOfAnnals of Operations Research
dc.rights(c) The author/sen
dc.rights.licenseCC BY 4.0en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectComposite performance index
dc.subjectMulti-criteria decision-analysis (MCDA)
dc.subjectData envelopment analysis
dc.subjectCAMELS
dc.subjectShannon entropy
dc.subjectVietnamese banks
dc.titleAn MCDA composite index of bank stability using CAMELS ratios and shannon entropy
dc.typeJournal article
pubs.elements-id488990
pubs.organisational-groupOther
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