Modelling sovereign credit ratings: neural networks versus ordered probit
Modelling sovereign credit ratings: neural networks versus ordered probit
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
2003
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, .
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Published date: 2003
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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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Author:
J. Bennell
Author:
D. Crabbe
Author:
S. Thomas
Author:
O. Ap Gwilym
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