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~isPartOf:"Journal of econometrics"
~isPartOf:"Statistical Inference for Stochastic Processes"
~subject:"Volatilität"
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Estimation theory
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Kim, Donggyu
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Journal of econometrics
Statistical Inference for Stochastic Processes
Discussion paper / Tinbergen Institute
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Testing if the market microstructure noise is fully explained by the informational content of some variables from the limit order book
Clinet, Simon
;
Potiron, Yoann
- In:
Journal of econometrics
209
(
2019
)
2
,
pp. 289-337
Persistent link: https://www.econbiz.de/10012302598
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2
Factor GARCH-Itô models for high-frequency data with application to large volatility matrix prediction
Kim, Donggyu
;
Fan, Jianqing
- In:
Journal of econometrics
208
(
2019
)
2
,
pp. 395-417
Persistent link: https://www.econbiz.de/10012145042
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3
Efficient asymptotic variance reduction when estimating volatility in high frequency data
Clinet, Simon
;
Potiron, Yoann
- In:
Journal of econometrics
206
(
2018
)
1
,
pp. 103-142
Persistent link: https://www.econbiz.de/10012110370
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4
Unified discrete-time and continuous-time models and statistical inferences for merged low-frequency and high-frequency financial data
Kim, Donggyu
;
Wang, Yazhen
- In:
Journal of econometrics
194
(
2016
)
2
,
pp. 220-230
Persistent link: https://www.econbiz.de/10011705111
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