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isPartOf:"Working paper / Department of Econometrics and Business Statistics, Monash University"
type_genre:"Graue Literatur"
~person:"Cheng, Tingting"
~person:"Martin, Gael M."
~subject:"Kernel estimator"
~subject:"Schätzung"
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Cheng, Tingting
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Working paper / Department of Econometrics and Business Statistics, Monash University
CEMMAP working papers / Centre for Microdata Methods and Practice
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High-frequency jump tests : which test should we use?
Maneesoonthorn, Worapree
;
Martin, Gael M.
;
Forbes, …
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2020
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(Revised working paper 17/18)
Persistent link: https://www.econbiz.de/10012606872
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Nonparametric predictive regressions for stock return prediction
Cheng, Tingting
;
Gao, Jiti
;
Linton, Oliver
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2019
Persistent link: https://www.econbiz.de/10012592220
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3
Multi-step non- and semi-parametric predictive regressions for short and long horizon stock return prediction
Cheng, Tingting
;
Gao, Jiti
;
Linton, Oliver
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2017
Persistent link: https://www.econbiz.de/10011782226
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Bias correction of persistence measures in fractionally integrated models
Grose, Simone D.
;
Martin, Gael M.
;
Poskitt, Donald Stephen
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2013
Persistent link: https://www.econbiz.de/10010245441
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