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LIU ZHI [4]
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Testing for pure-jump processes for high frequency data
Journal article
Kong, X.B., Liu, Z., Jing, B.Y.. Testing for pure-jump processes for high frequency data[J]. The Annals of Statistics, 2015, 847-877.
Authors:
Kong, X.B.
;
Liu, Z.
;
Jing, B.Y.
Favorite
|
TC[WOS]:
39
TC[Scopus]:
45
IF:
3.2
/
4.8
|
Submit date:2022/07/27
Ito Semimartingale
Pure-jump Process
Integrated Volatility
Realized Characteristic Function.
Evaluating the hedging error in price processes with jumps present
Journal article
Jing B.Y., Kong X.B., Liu Z., Zhang B.. Evaluating the hedging error in price processes with jumps present[J]. Statistics and its Interface, 2013, 6(4), 413-425.
Authors:
Jing B.Y.
;
Kong X.B.
;
Liu Z.
;
Zhang B.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
|
Submit date:2019/02/14
Hedging Strategy
Jump Diffusion
Quadratic Variation
Realized Bipower Variation
Thresholdvariation
Variation Of Time
Volatility
Modeling high frequency financial data by pure jump processes
Journal article
Jing, B.Y., Kong, X.B., Liu, Z.. Modeling high frequency financial data by pure jump processes[J]. Annals of Statistics, 2012, 759-784.
Authors:
Jing, B.Y.
;
Kong, X.B.
;
Liu, Z.
Favorite
|
TC[WOS]:
49
TC[Scopus]:
55
IF:
3.2
/
4.8
|
Submit date:2022/07/27
Diffusion
Pure Jump Process
Semi-martingales
High-frequency Data
Hypothesis Testing
Estimating the jump activity index under noisy observations using high frequency data
Journal article
Jing, B.Y., Kong, X.B., Liu, Z.. Estimating the jump activity index under noisy observations using high frequency data[J]. Journal of American Statistical Association, 2011, 558-568.
Authors:
Jing, B.Y.
;
Kong, X.B.
;
Liu, Z.
Favorite
|
TC[WOS]:
19
TC[Scopus]:
20
IF:
3.0
/
4.9
|
Submit date:2022/07/27
Microstructure Noise
Symmetric Stable Levy Process.