EconPapers    
Economics at your fingertips  
 

Canonical sectors and evolution of firms in the US stock markets

Lorien X. Hayden, Ricky Chachra, Alexander A. Alemi, Paul H. Ginsparg and James P. Sethna

Quantitative Finance, 2018, vol. 18, issue 10, 1619-1634

Abstract: Unsupervised machine learning can provide an objective and comprehensive broad-level sector decomposition of stocks

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/14697688.2018.1444278 (text/html)
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:taf:quantf:v:18:y:2018:i:10:p:1619-1634

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

DOI: 10.1080/14697688.2018.1444278

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:18:y:2018:i:10:p:1619-1634