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Modelling sovereign credit ratings: neural networks versus ordered probit

Modelling sovereign credit ratings: neural networks versus ordered probit
Modelling sovereign credit ratings: neural networks versus ordered probit
1356-3548
35pp
Bennell, J.
38d924bc-c870-4641-9448-1ac8dd663a30
Crabbe, D.
e2ce72df-ec20-4d65-a0b8-45313673dfb1
Thomas, S.
0f83004b-179e-4b71-8374-25345d0e9dad
Ap Gwilym, O.
dcad2393-1a8b-4088-8508-cdf45e40816d
Bennell, J.
38d924bc-c870-4641-9448-1ac8dd663a30
Crabbe, D.
e2ce72df-ec20-4d65-a0b8-45313673dfb1
Thomas, S.
0f83004b-179e-4b71-8374-25345d0e9dad
Ap Gwilym, O.
dcad2393-1a8b-4088-8508-cdf45e40816d

Bennell, J., Crabbe, D., Thomas, S. and Ap Gwilym, O. (2003) Modelling sovereign credit ratings: neural networks versus ordered probit. Discussion Paper Series - Accounting and Finance, AF-03-11, 35pp.

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Published date: 2003

Identifiers

Local EPrints ID: 35832
URI: http://eprints.soton.ac.uk/id/eprint/35832
ISSN: 1356-3548
PURE UUID: 74d6083e-4db1-49b2-8f43-5e7433a90c69

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Date deposited: 24 May 2006
Last modified: 11 Dec 2021 15:30

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Contributors

Author: J. Bennell
Author: D. Crabbe
Author: S. Thomas
Author: O. Ap Gwilym

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