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1
Combining wavelet decomposition with machine learning to forecast gold returns
Risse, Marian
- In:
International journal of forecasting
35
(
2019
)
2
,
pp. 601-615
Persistent link: https://www.econbiz.de/10012300704
Saved in:
2
The predictive accuracy of credit ratings : measurement and statistical inference
Orth, Walter
- In:
International journal of forecasting
28
(
2012
)
1
,
pp. 288-296
Persistent link: https://www.econbiz.de/10009581936
Saved in:
3
Forecasting loss given default of bank loans with multi-stage model
Tanoue, Yuta
;
Kawada, Akihiro
;
Yamashita, Satoshi
- In:
International journal of forecasting
33
(
2017
)
2
,
pp. 513-522
Persistent link: https://www.econbiz.de/10011922923
Saved in:
4
Predicting bank insolvencies using machine learning techniques
Petropoulos, Anastasios
;
Siakoulis, Vasilis
; …
- In:
International journal of forecasting
36
(
2020
)
3
,
pp. 1092-1113
Persistent link: https://www.econbiz.de/10012497724
Saved in:
5
Predicting the failures of prediction markets : a procedure of decision making using classification models
Tai, Chung-Ching
;
Lin, Hung-Wen
;
Chie, Bin-Tzong
;
Tong, …
- In:
International journal of forecasting
35
(
2019
)
1
,
pp. 297-312
Persistent link: https://www.econbiz.de/10012300629
Saved in:
6
Predictive analysis and modelling football results using machine learning approach for English Premier League
Baboota, Rahul
;
Kaur, Harleen
- In:
International journal of forecasting
35
(
2019
)
2
,
pp. 741-755
Persistent link: https://www.econbiz.de/10012300725
Saved in:
7
A robust support vector regression model for electric load forecasting
Luo, Jian
;
Tao, Hong
;
Gao, Zheming
;
Fang, Shu-Cherng
- In:
International journal of forecasting
39
(
2023
)
2
,
pp. 1005-1020
Persistent link: https://www.econbiz.de/10014465193
Saved in:
8
Forecasting and analyzing insurance companies' ratings
Van Gestel, Tony
(
contributor
)
- In:
International journal of forecasting
23
(
2007
)
3
,
pp. 513-529
Persistent link: https://www.econbiz.de/10003568065
Saved in:
9
Forecasting recovery rates on non-performing loans with machine learning
Bellotti, Anthony
;
Brigo, Damiano
;
Gambetti, Paolo
; …
- In:
International journal of forecasting
37
(
2021
)
1
,
pp. 428-444
Persistent link: https://www.econbiz.de/10012693089
Saved in:
10
Forecasting loss given default for peer-to-peer loans via heterogeneous stacking ensemble approach
Xia, Yufei
;
Zhao, Junhao
;
He, Lingyun
;
Li, Yinguo
; …
- In:
International journal of forecasting
37
(
2021
)
4
,
pp. 1590-1613
Persistent link: https://www.econbiz.de/10013274339
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