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~person:"Shin, Minchul"
~subject:"Prognoseverfahren"
~type:"article"
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Prognoseverfahren
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Shin, Minchul
Ma, Feng
75
Gupta, Rangan
65
Zhang, Yaojie
37
Wang, Yudong
31
Liang, Chao
30
Wei, Yu
26
Pierdzioch, Christian
23
Wang, Jiqian
19
Degiannakis, Stavros
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Bollerslev, Tim
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Bouri, Elie
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Lu, Xinjie
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McMillan, David G.
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Nonejad, Nima
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Salisu, Afees A.
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Wu, Xinyu
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Demirer, Rıza
13
Liu, Li
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Molnár, Peter
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McAleer, Michael
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Andersen, Torben
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Caporin, Massimiliano
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Gallo, Giampiero M.
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Huang, Dengshi
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Patton, Andrew J.
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Wahab, M. I. M.
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10
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10
Todorova, Neda
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9
He, Mengxi
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Lyócsa, Štefan
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International journal of forecasting
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ECONIS (ZBW)
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Real-time forecast evaluation of DSGE models with stochastic volatility
Diebold, Francis X.
;
Schorfheide, Frank
;
Shin, Minchul
- In:
Journal of econometrics
201
(
2017
)
2
,
pp. 322-332
Persistent link: https://www.econbiz.de/10011920505
Saved in:
2
Does realized volatility help bond yield density prediction?
Shin, Minchul
;
Zhong, Molin
- In:
International journal of forecasting
33
(
2017
)
2
,
pp. 373-389
Persistent link: https://www.econbiz.de/10011922068
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