EconPapers    
Economics at your fingertips  
 

High-frequency cross-correlation in a set of stocks

G. Bonanno, F. Lillo and Rosario Mantegna

Quantitative Finance, 2001, vol. 1, issue 1, 96-104

Abstract: The high-frequency cross-correlation existing between pairs of stocks traded in a financial market are investigated in a set of 100 stocks traded in US equity markets. A hierarchical organization of the investigated stocks is obtained by determining a metric distance between stocks and by investigating the properties of the subdominant ultrametric associated with it. A clear modification of the hierarchical organization of the set of stocks investigated is detected when the time horizon used to determine stock returns is changed. The hierarchical location of stocks of the energy sector is investigated as a function of the time horizon.

Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (107)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/713665554 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: High-frequency Cross-correlation in a Set of Stocks (2000) Downloads
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:taf:quantf:v:1:y:2001:i:1:p:96-104

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RQUF20

DOI: 10.1080/713665554

Access Statistics for this article

Quantitative Finance is currently edited by Michael Dempster and Jim Gatheral

More articles in Quantitative Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:quantf:v:1:y:2001:i:1:p:96-104