Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-19984
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Advances in financial machine learning
Authors: Schwendner, Peter
et. al: No
DOI: 10.1080/14697688.2019.1703030
10.21256/zhaw-19984
Published in: Quantitative Finance
Volume(Issue): 20
Issue: 2
Pages: 189
Pages to: 190
Issue Date: 8-Jan-2020
Publisher / Ed. Institution: Routledge
ISSN: 1469-7688
1469-7696
Language: English
Subject (DDC): 004: Computer science
332: Financial economics
Further description: This is an Accepted Manuscript of an article published by Taylor & Francis in Quantitative Finance on 8 January 2020, available online: http://www.tandfonline.com/10.1080/14697688.2019.1703030
URI: https://digitalcollection.zhaw.ch/handle/11475/19984
Fulltext version: Accepted version
License (according to publishing contract): Licence according to publishing contract
Restricted until: 2021-07-08
Departement: School of Management and Law
Organisational Unit: Institute of Wealth & Asset Management (IWA)
Appears in collections:Publikationen School of Management and Law

Files in This Item:
File Description SizeFormat 
2020_Schwendner_ReviewDePrado_QF.pdf
  Until 2021-07-08
Accepted Version110.41 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.