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Canonical sectors and evolution of firms in the US stock markets

Cornell Affiliated Author(s)

Author

L.X. Hayden
R. Chachra
A.A. Alemi
P.H. Ginsparg
J.P. Sethna

Abstract

Unsupervised machine learning can provide an objective and comprehensive broad-level sector decomposition of stocks. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.

Date Published

Journal

Quantitative Finance

Volume

18

Issue

10

Number of Pages

1619-1634,

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048155819&doi=10.1080%2f14697688.2018.1444278&partnerID=40&md5=8d5827a07b831a808f83542735315dee

DOI

10.1080/14697688.2018.1444278

Research Area

Group (Lab)

James Sethna Group

Funding Source

1144153
1247696
1312160
DGE-1144153
DMR-1312160
DMR-1719490
IIS-1247696

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