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~accessRights:"restricted"
~person:"Kim, Jae H."
~person:"Nielsen, Morten Ørregaard"
~subject:"Wild bootstrap"
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Kim, Jae H.
Nielsen, Morten Ørregaard
Cavaliere, Giuseppe
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Testing for the appropriate level of clustering in linear regression models
MacKinnon, James G.
;
Nielsen, Morten Ørregaard
;
Webb, …
- In:
Journal of econometrics
235
(
2023
)
2
,
pp. 2027-2056
Persistent link: https://www.econbiz.de/10014471443
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2
Adaptive inference in heteroscedastic fractional time series models
Cavaliere, Giuseppe
;
Nielsen, Morten Ørregaard
; …
- In:
Journal of business & economic statistics : JBES ; a …
40
(
2022
)
1
,
pp. 50-65
Persistent link: https://www.econbiz.de/10012804084
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3
International stock return predictability : evidence from new statistical tests
Charles, Amélie
;
Darné, Olivier
;
Kim, Jae H.
- In:
International review of financial analysis
54
(
2017
),
pp. 97-113
Persistent link: https://www.econbiz.de/10011878164
Saved in:
4
Adaptive markets hypothesis for Islamic stock indices : evidence from Dow Jones size and sector-indices
Charles, Amélie
;
Darné, Olivier
;
Kim, Jae H.
- In:
International economics : a journal published by CEPII …
151
(
2017
),
pp. 100-112
Persistent link: https://www.econbiz.de/10011793836
Saved in:
5
Quasi-maximum likelihood estimation and bootstrap inference in fractional time series models with heteroskedasticity of unknown form
Cavaliere, Giuseppe
;
Nielsen, Morten Ørregaard
; …
- In:
Journal of econometrics
198
(
2017
)
1
,
pp. 165-188
Persistent link: https://www.econbiz.de/10011818374
Saved in:
6
Market sentiment and the Fama-French factor premia
Shamsuddin, Abdul
;
Kim, Jae H.
- In:
Economics letters
136
(
2015
),
pp. 129-132
Persistent link: https://www.econbiz.de/10011435995
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