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Seo, Byoung Ki
Trading Engineering Lab.
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dc.citation.endPage 200 -
dc.citation.startPage 174 -
dc.citation.title JOURNAL OF EMPIRICAL FINANCE -
dc.citation.volume 40 -
dc.contributor.author Lee, Kyungsub -
dc.contributor.author Seo, Byoung Ki -
dc.date.accessioned 2023-12-21T22:47:21Z -
dc.date.available 2023-12-21T22:47:21Z -
dc.date.created 2016-08-19 -
dc.date.issued 2017-01 -
dc.description.abstract A simple Hawkes model have been developed for the price tick structure dynamics incorporating market microstructure noise and trade clustering. In this paper, the model is extended with random mark to deal with more realistic price tick structures of equities. We examine the impact of jump in price dynamics to the future movements and dependency between the jump sizes and ground intensities. We also derive the volatility formula based on stochastic and statistical methods and compare with realized volatility in simulation and empirical studies. The marked Hawkes model is useful to estimate the intraday volatility similarly in the case of simple Hawkes model. -
dc.identifier.bibliographicCitation JOURNAL OF EMPIRICAL FINANCE, v.40, pp.174 - 200 -
dc.identifier.doi 10.1016/j.jempfin.2016.08.004 -
dc.identifier.issn 0927-5398 -
dc.identifier.scopusid 2-s2.0-84996619327 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/21080 -
dc.identifier.url http://www.sciencedirect.com/science/article/pii/S0927539816300810 -
dc.identifier.wosid 000394472000010 -
dc.language 영어 -
dc.publisher ELSEVIER SCIENCE BV -
dc.title Marked Hawkes process modeling of price dynamics and volatility estimation -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Business, Finance; Economics -
dc.relation.journalResearchArea Business & Economics -
dc.description.journalRegisteredClass ssci -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Tick price dynamics -
dc.subject.keywordAuthor Marked Hawkes process -
dc.subject.keywordAuthor Volatility -
dc.subject.keywordAuthor Ultra-high-frequency data -
dc.subject.keywordAuthor Impact of mark -

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