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ECONIS (ZBW)
112
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1
A meta-learning framework for bankruptcy prediction
Tsai, Chih-fong
;
Hsu, Yu-feng
- In:
Journal of forecasting
32
(
2013
)
2
,
pp. 167-179
Persistent link: https://www.econbiz.de/10009758667
Saved in:
2
Forecasting forward defaults with the discrete-time hazard model
Hwang, Ruey-ching
;
Chu, Chih-kang
- In:
Journal of forecasting
33
(
2014
)
2
,
pp. 108-123
Persistent link: https://www.econbiz.de/10010424865
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3
Nonparametric quantile regression-based classifiers for bankruptcy forecasting
Lorca, Pedro
;
Landajo, Manuel
;
Andrés Suárez, Javier de
- In:
Journal of forecasting
33
(
2014
)
2
,
pp. 124-133
Persistent link: https://www.econbiz.de/10010424866
Saved in:
4
Bootstrap replacement to validate the influence of the economic cycle on the structure and the accuracy level of business failure prediction models
Manzaneque, Monserrat
;
Garcia Pérez de Lema, Domingo
; …
- In:
Journal of forecasting
34
(
2015
)
4
,
pp. 275-289
Persistent link: https://www.econbiz.de/10011305181
Saved in:
5
Predicting bankruptcy using recursive partitioning and a realistically proportioned data set
McKee, Thomas E.
;
Greenstein, Marilyn
- In:
Journal of forecasting
19
(
2000
)
3
,
pp. 219-230
Persistent link: https://www.econbiz.de/10001473497
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6
Rough sets bankrupty predicton models versus auditor signalling rates
McKee, Thomas E.
- In:
Journal of forecasting
22
(
2003
)
8
,
pp. 569-586
Persistent link: https://www.econbiz.de/10001863396
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7
A robust data-mining approach to bankruptcy prediction
Divsalar, Mehdi
;
Roodsaz, Habib
;
Vahdatinia, Farshad
; …
- In:
Journal of forecasting
31
(
2012
)
6
,
pp. 504-523
Persistent link: https://www.econbiz.de/10009661523
Saved in:
8
Firm dynamics and bankruptcy processes : a new theoretical model
Çelik, Şaban
;
Aktan, Bora
;
Burton, Bruce G.
- In:
Journal of forecasting
41
(
2022
)
3
,
pp. 567-591
Persistent link: https://www.econbiz.de/10013166161
Saved in:
9
Multiperiod default probability forecasting
Blümke, Oliver
- In:
Journal of forecasting
41
(
2022
)
4
,
pp. 677-696
Persistent link: https://www.econbiz.de/10013287842
Saved in:
10
Corporate failure prediction using threshold-based models
Veganzones, David
- In:
Journal of forecasting
41
(
2022
)
5
,
pp. 956-979
Persistent link: https://www.econbiz.de/10013287892
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