Testing for Co-jumps in Financial Markets

Jan Novotný and Giovanni Urga

Journal of Financial Econometrics, 2018, vol. 16, issue 1, 118-128

Abstract: In this paper, we introduce the notion of co-jumps within the co-features framework. We formulate a limiting theory of co-jumps and discuss their discrete sample properties. In the presence of idiosyncratic price jumps, we identify the notion of weak co-jumps. We illustrate the empirical relevance of the proposed framework via an empirical application using the components of the Dow Jones Industrial Average 30 index running from 1 January 2010 to 30 June 2012, sampled at a five-min frequency.

Keywords: co-features; Dow Jones Industrial Average 30 index; jumps and co-jumps; portfolio diversification (search for similar items in EconPapers)
JEL-codes: C12 C32 G12 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1093/jjfinec/nbx028 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oup:jfinec:v:16:y:2018:i:1:p:118-128.

Ordering information: This journal article can be ordered from
https://academic.oup.com/journals

Access Statistics for this article

Journal of Financial Econometrics is currently edited by Allan Timmermann and Fabio Trojani

More articles in Journal of Financial Econometrics from Oxford University Press Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK. Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().