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~subject:"Prognoseverfahren"
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Prognoseverfahren
China
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He, Ling-Yun
4
He, Lingyun
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Xia, Yufei
2
Zhao, Lu-Tao
2
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1
Li, Li
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Li, Yinguo
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Meng, Ya
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Qin, Quande
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Computational economics
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Emerging markets, finance & trade : a journal of the Society for the Study of Emerging Markets
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Finance research letters
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International journal of forecasting
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International review of economics & finance : IREF
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ECONIS (ZBW)
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Volatility forecasting of crude oil market : can the regime switching GARCH model beat the single-regime GARCH models?
Zhang, Yue-Jun
;
Yao, Ting
;
He, Ling-Yun
;
Ripple, Ronald D.
- In:
International review of economics & finance : IREF
59
(
2019
),
pp. 302-317
Persistent link: https://www.econbiz.de/10012202881
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2
Forecasting short-term oil price with a generalised pattern matching model based on empirical genetic algorithm
Zhao, Lu-Tao
;
Zeng, Guan-Rong
;
He, Ling-Yun
;
Meng, Ya
- In:
Computational economics
55
(
2020
)
4
,
pp. 1151-1169
Persistent link: https://www.econbiz.de/10012223706
Saved in:
3
A novel decomposition-ensemble based carbon price forecasting model integrated with local polynomial prediction
Qin, Quande
;
He, Huangda
;
Li, Li
;
He, Ling-Yun
- In:
Computational economics
55
(
2020
)
4
,
pp. 1249-1273
Persistent link: https://www.econbiz.de/10012223716
Saved in:
4
Predicting oil prices : an analysis of oil price volatility cycle and financial markets
Zhao, Lu-Tao
;
Wang, Zi-Jie
;
Wang, Shu-Ping
;
He, Ling-Yun
- In:
Emerging markets, finance & trade : a journal of the …
57
(
2021
)
4
,
pp. 1068-1087
Persistent link: https://www.econbiz.de/10012483300
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5
The role of uncertainty index in forecasting volatility of Bitcoin : fresh evidence from GARCH-MIDAS approach
Xia, Yufei
;
Sang, Chong
;
He, Lingyun
;
Wang, Ziyao
- In:
Finance research letters
52
(
2023
),
pp. 1-8
Persistent link: https://www.econbiz.de/10014472258
Saved in:
6
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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