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~isPartOf:"Applied financial economics"
~isPartOf:"Cambridge-INET working papers"
~isPartOf:"Cowles Foundation discussion paper"
~isPartOf:"Discussion paper / Humboldt-Universität zu Berlin, Sonderforschungsbereich 373 Quantifikation und Simulation Ökonomischer Prozesse"
~isPartOf:"Discussion papers of interdisciplinary research project 373"
~isPartOf:"Econometric theory"
~isPartOf:"Econometrica : journal of the Econometric Society, an international society for the advancement of economic theory in its relation to statistics and mathematics"
~isPartOf:"Working papers / Serie AD / Instituto Valenciano de Investigaciones Económicas"
~person:"Candelon, Bertrand"
~person:"Cavaliere, Giuseppe"
~person:"Kreiß, Jens-Peter"
~person:"Li, Qi"
~person:"Linton, Oliver"
~person:"Peel, David"
~person:"Robinson, Peter M."
~person:"Tschernig, Rolf"
~subject:"Cointegration"
~subject:"Core"
~subject:"Heteroskedastizität"
~subject:"Nichtlineare Regression"
~subject:"Time series analysis"
~subject:"United States"
~subject:"World"
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Candelon, Bertrand
Cavaliere, Giuseppe
Kreiß, Jens-Peter
Li, Qi
Linton, Oliver
Peel, David
Robinson, Peter M.
Tschernig, Rolf
Phillips, Peter C. B.
99
Gil-Alaña, Luis A.
28
Lütkepohl, Helmut
21
Saikkonen, Pentti
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11
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9
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9
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8
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8
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8
Hong, Yongmiao
7
Magdalinos, Tassos
7
Yu, Jun
7
Caporale, Guglielmo Maria
6
Johansen, Søren
6
Kleinow, Torsten
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Leybourne, Stephen James
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Spokojnyj, Vladimir G.
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Sun, Yixiao
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Tjostheim, Dag
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Discussion paper / Humboldt-Universität zu Berlin, Sonderforschungsbereich 373 Quantifikation und Simulation Ökonomischer Prozesse
Discussion papers of interdisciplinary research project 373
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Econometrica : journal of the Econometric Society, an international society for the advancement of economic theory in its relation to statistics and mathematics
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1
Estimation of common factors for microstructure noise and efficient price in a high-frequency dual factor model
Li, Yu-Ning
;
Chen, Jia
;
Linton, Oliver
-
2021
Persistent link: https://www.econbiz.de/10013259517
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2
A ReMeDI for microstructure noise
Li, Z. Merrick
;
Linton, Oliver
- In:
Econometrica : journal of the Econometric Society, an …
90
(
2022
)
1
,
pp. 367-389
Persistent link: https://www.econbiz.de/10012821689
Saved in:
3
Nonparametric recovery of the yield curve evolution from cross-section and time series information
Koo, Bonsoo
;
La Vecchia, Davide
;
Linton, Oliver
-
2019
Persistent link: https://www.econbiz.de/10012697699
Saved in:
4
A primer on bootstrap testing of hypotheses in time series models : with an application to double autoregressive models
Cavaliere, Giuseppe
;
Rahbek, Anders
- In:
Econometric theory
37
(
2021
)
1
,
pp. 1-48
Persistent link: https://www.econbiz.de/10012437042
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5
Quantilograms under strong dependence
Lee, Ji Hyung
;
Linton, Oliver
;
Whang, Yoon-jae
- In:
Econometric theory
36
(
2020
)
3
,
pp. 457-487
Persistent link: https://www.econbiz.de/10012240727
Saved in:
6
Detecting financial data dependence structure by averaging mixture copulas
Liu, Guannan
;
Long, Wei
;
Zhang, Xinyu
;
Li, Qi
- In:
Econometric theory
35
(
2019
)
4
,
pp. 777-815
Persistent link: https://www.econbiz.de/10012386828
Saved in:
7
Unit root inference for non-stationary linear processes driven by infinite variance innovations
Cavaliere, Giuseppe
;
Georgiev, Iliyan
;
Taylor, Robert
- In:
Econometric theory
34
(
2018
)
2
,
pp. 302-348
Persistent link: https://www.econbiz.de/10011950958
Saved in:
8
Inference on nonstationary time series with moving mean
Gao, Jiti
;
Robinson, Peter M.
- In:
Econometric theory
32
(
2016
)
2
,
pp. 431-457
Persistent link: https://www.econbiz.de/10011578494
Saved in:
9
A consistent nonparametric test on semiparametric smooth coefficient models with integrated time series
Sun, Yiguo
;
Cai, Zongwu
;
Li, Qi
- In:
Econometric theory
32
(
2016
)
4
,
pp. 988-1022
Persistent link: https://www.econbiz.de/10011644226
Saved in:
10
Estimation of and inference about the expected shortfall for time series with infinite variance
Linton, Oliver
;
Xiao, Zhijie
- In:
Econometric theory
29
(
2013
)
4
,
pp. 771-807
Persistent link: https://www.econbiz.de/10010210161
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