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Determining the integrated volatility via limit order kooks with multiple records
Liu, Y.-Q.; Liu, Q.; Liu, Z.; Ding, D.
2017-09-25
Source PublicationQuantitative Finance
ABS Journal Level3
ISSN1469-7688
Pages1697-1714
Abstract

The integrated volatility plays an important role in risk management and portfolio selection, the estima- tion methods regarding to the quantity have been widely investigated, either under low frequency data or high frequency data, or a combination of both. In this paper, we propose a measure for the integrated volatility via limit order books data with possible presence of multiple records. The estimator is valid under mild conditions and it is easy to be implemented. The nite sample performance of proposed estimator has been veri ed by simulation studies and we apply the method to some real high frequency data-sets as well.

KeywordHigh Frequency Data Limite Order Books Microstrucure Noise Integrated Volatility Multiple Records
DOI10.1080/14697688.2017.1307510
Language英語English
The Source to ArticlePB_Publication
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Document TypeJournal article
CollectionDEPARTMENT OF MATHEMATICS
Recommended Citation
GB/T 7714
Liu, Y.-Q.,Liu, Q.,Liu, Z.,et al. Determining the integrated volatility via limit order kooks with multiple records[J]. Quantitative Finance, 2017, 1697-1714.
APA Liu, Y.-Q.., Liu, Q.., Liu, Z.., & Ding, D. (2017). Determining the integrated volatility via limit order kooks with multiple records. Quantitative Finance, 1697-1714.
MLA Liu, Y.-Q.,et al."Determining the integrated volatility via limit order kooks with multiple records".Quantitative Finance (2017):1697-1714.
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