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~person:"Mues, Christophe"
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Search: subject:"Kreditrisiko"
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Kreditrisiko
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Mues, Christophe
Ongena, Steven
101
Lucas, André
65
Acharya, Viral V.
61
Altman, Edward I.
61
Rösch, Daniel
60
Koopman, Siem Jan
50
Peydró, José-Luis
50
Schuermann, Til
48
Saunders, Anthony
47
Agarwal, Sumit
46
Gambacorta, Leonardo
41
Scheule, Harald
41
Brigo, Damiano
39
Giesecke, Kay
39
Schwaab, Bernd
39
Caporale, Guglielmo Maria
38
Capponi, Agostino
38
Fabozzi, Frank J.
37
Hamerle, Alfred
37
Hasan, Iftekhar
36
Krahnen, Jan Pieter
35
Monfort, Alain
35
Düllmann, Klaus
33
Gilchrist, Simon
33
Gouriéroux, Christian
33
Tang, Dragon Yongjun
33
Jarrow, Robert A.
32
Duffie, Darrell
31
Longstaff, Francis A.
31
Tarashev, Nikola A.
31
Huschens, Stefan
30
Roesch, Daniel
30
Schmieder, Christian
30
Shin, Hyun Song
30
Berger, Allen N.
29
Jiménez, Gabriel
29
Renne, Jean-Paul
29
Allen, David E.
28
Gürtler, Marc
28
Jokivuolle, Esa
28
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European journal of operational research : EJOR
6
International journal of forecasting
4
Journal of the Operational Research Society : OR
1
Research report / Katholieke Universiteit Leuven, Faculty of Economics and Applied Economics, Department of Applied Economics
1
The journal of credit risk : published quarterly by Incisive Media
1
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ECONIS (ZBW)
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1
Modelling credit card exposure at default using vine copula quantile regression
Wattanawongwan, Suttisak
;
Mues, Christophe
;
Okhrati, Ramin
- In:
European journal of operational research : EJOR
311
(
2023
)
1
,
pp. 387-399
Persistent link: https://www.econbiz.de/10014336533
Saved in:
2
A mixture model for credit card exposure at default using the GAMLSS framework
Wattanawongwan, Suttisak
;
Mues, Christophe
;
Okhrati, Ramin
- In:
International journal of forecasting
39
(
2023
)
1
,
pp. 503-518
Persistent link: https://www.econbiz.de/10014462794
Saved in:
3
A transformer-based model for default prediction in mid-cap corporate markets
Korangi, Kamesh
;
Mues, Christophe
;
Bravo, Cristián
- In:
European journal of operational research : EJOR
308
(
2023
)
1
,
pp. 306-320
Persistent link: https://www.econbiz.de/10014283041
Saved in:
4
The value of text for small business default prediction : a deep learning approach
Stevenson, Matthew
;
Mues, Christophe
;
Bravo, Cristián
- In:
European journal of operational research : EJOR
295
(
2021
)
2
,
pp. 758-771
Persistent link: https://www.econbiz.de/10013206023
Saved in:
5
An empirical comparison of classification algorithms for mortgage default prediction : evidence from a distressed mortgage market
Fitzpatrick, Trevor
;
Mues, Christophe
- In:
European journal of operational research : EJOR
249
(
2016
)
2
,
pp. 427-439
Persistent link: https://www.econbiz.de/10011436704
Saved in:
6
Exposure at default models with and without the credit conversion factor
Tong, Edward N. C.
;
Mues, Christophe
;
Brown, Iain
; …
- In:
European journal of operational research : EJOR
252
(
2016
)
3
,
pp. 910-920
Persistent link: https://www.econbiz.de/10011472989
Saved in:
7
The economy and loss given default : evidence from two UK retail lending data sets
Leow, Mindy
;
Mues, Christophe
;
Thomas, Lyn C.
- In:
Journal of the Operational Research Society : OR
65
(
2014
)
3
,
pp. 363-375
Persistent link: https://www.econbiz.de/10010251704
Saved in:
8
Dynamic affordability assessment : predicting an applicant's ability to repay over the life of the loan
Bijak, Katarzyna
;
Thomas, Lyn C.
;
Mues, Christophe
- In:
The journal of credit risk : published quarterly by …
10
(
2014
)
1
,
pp. 3-32
Persistent link: https://www.econbiz.de/10010373359
Saved in:
9
A zero-adjusted gamma model for mortgage loan loss given default
Tong, Edward N. C.
;
Mues, Christophe
;
Thomas, Lyn C.
- In:
International journal of forecasting
29
(
2013
)
4
,
pp. 548-562
Persistent link: https://www.econbiz.de/10010212473
Saved in:
10
Predicting loss given default (LGD) for residential mortgage loans : a two-stage model and empirical evidence for UK bank data
Leow, Mindy
;
Mues, Christophe
- In:
International journal of forecasting
28
(
2012
)
1
,
pp. 183-195
Persistent link: https://www.econbiz.de/10009581989
Saved in:
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