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~person:"Christensen, Kim"
~person:"Li, Degui"
~subject:"Nonlinear regression"
~subject:"Volatility"
~type:"article"
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Nichtparametrisches Verfahren
18
Nonparametric statistics
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Christensen, Kim
Li, Degui
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18
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14
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8
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7
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6
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The drift burst hypothesis
Christensen, Kim
;
Oomen, Roel
;
Renò, Roberto
- In:
Journal of econometrics
227
(
2022
)
2
,
pp. 461-497
Persistent link: https://www.econbiz.de/10013442150
Saved in:
2
Is the diurnal pattern sufficient to explain intraday variation in volatility? : a nonparametric assessment
Christensen, Kim
;
Hounyo, Ulrich
;
Podolskij, Mark
- In:
Journal of econometrics
205
(
2018
)
2
,
pp. 336-362
Persistent link: https://www.econbiz.de/10012110287
Saved in:
3
Nonparametric estimation and forecasting for time-varying coefficient realized volatility models
Chen, Xiangjin B.
;
Gao, Jiti
;
Li, Degui
;
Silvapulle, …
- In:
Journal of business & economic statistics : JBES ; a …
36
(
2018
)
1
,
pp. 88-100
Persistent link: https://www.econbiz.de/10011894402
Saved in:
4
Semiparametric trending panel data models with cross-sectional dependence
Chen, Jia
;
Gao, Jiti
;
Li, Degui
- In:
Journal of econometrics
171
(
2012
)
1
,
pp. 71-85
Persistent link: https://www.econbiz.de/10009686728
Saved in:
5
Non-parametric time-varying coefficient panel data models with fixed effects
Li, Degui
;
Chen, Jia
;
Gao, Jiti
- In:
The econometrics journal
14
(
2011
)
3
,
pp. 387-408
Persistent link: https://www.econbiz.de/10009382522
Saved in:
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