A multicriteria decision support tool for modelling bank credit ratings
A multicriteria decision support tool for modelling bank credit ratings
We introduce an application of the SMAA-Fuzzy-FlowSort approach to the case of modelling bank credit ratings. Its stochastic nature allows for imprecisions and uncertainty that naturally surround a decision-making exercise to be embedded into the proposed framework, whilst its output complements the ordinal nature of a crisp classification with cardinal information that shows the degree of membership to each rating category. Combined with the SMAA variant of GAIA that offers a visual of a bank’s judgmental analysis, both recent approaches provide a holistic multicriteria decision support tool in the hands of a credit analyst and enable a rich inferential procedure to be conducted. To illustrate the assets of this framework, we provide a case study evaluating the credit risk of 55 EU banks according to their financial fundamentals.
27–56
Gaganis, Chrysovalantis
a66db976-d7d1-4a85-8057-d2cde46f0d33
Papadimitri, Panagiota
b7edf14e-3b00-4317-a6ce-8741b593d5b0
Tasiou, Menelaos
e402686d-dbf2-48d5-aba8-da9b4ad3701f
1 November 2021
Gaganis, Chrysovalantis
a66db976-d7d1-4a85-8057-d2cde46f0d33
Papadimitri, Panagiota
b7edf14e-3b00-4317-a6ce-8741b593d5b0
Tasiou, Menelaos
e402686d-dbf2-48d5-aba8-da9b4ad3701f
Gaganis, Chrysovalantis, Papadimitri, Panagiota and Tasiou, Menelaos
(2021)
A multicriteria decision support tool for modelling bank credit ratings.
Annals of Operations Research, 306, .
(doi:10.1007/s10479-020-03516-9).
Abstract
We introduce an application of the SMAA-Fuzzy-FlowSort approach to the case of modelling bank credit ratings. Its stochastic nature allows for imprecisions and uncertainty that naturally surround a decision-making exercise to be embedded into the proposed framework, whilst its output complements the ordinal nature of a crisp classification with cardinal information that shows the degree of membership to each rating category. Combined with the SMAA variant of GAIA that offers a visual of a bank’s judgmental analysis, both recent approaches provide a holistic multicriteria decision support tool in the hands of a credit analyst and enable a rich inferential procedure to be conducted. To illustrate the assets of this framework, we provide a case study evaluating the credit risk of 55 EU banks according to their financial fundamentals.
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e-pub ahead of print date: 23 January 2020
Published date: 1 November 2021
Identifiers
Local EPrints ID: 469684
URI: http://eprints.soton.ac.uk/id/eprint/469684
ISSN: 0254-5330
PURE UUID: 70a15179-d7ca-44ba-b80c-d8c6677d9b30
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Date deposited: 22 Sep 2022 16:36
Last modified: 17 Mar 2024 04:13
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Author:
Chrysovalantis Gaganis
Author:
Panagiota Papadimitri
Author:
Menelaos Tasiou
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