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
Page(s): 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

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Schwendner, P. (2020). Advances in financial machine learning. Quantitative Finance, 20(2), 189–190. https://doi.org/10.1080/14697688.2019.1703030
Schwendner, P. (2020) ‘Advances in financial machine learning’, Quantitative Finance, 20(2), pp. 189–190. Available at: https://doi.org/10.1080/14697688.2019.1703030.
P. Schwendner, “Advances in financial machine learning,” Quantitative Finance, vol. 20, no. 2, pp. 189–190, Jan. 2020, doi: 10.1080/14697688.2019.1703030.
SCHWENDNER, Peter, 2020. Advances in financial machine learning. Quantitative Finance. 8 Januar 2020. Bd. 20, Nr. 2, S. 189–190. DOI 10.1080/14697688.2019.1703030
Schwendner, Peter. 2020. “Advances in Financial Machine Learning.” Quantitative Finance 20 (2): 189–90. https://doi.org/10.1080/14697688.2019.1703030.
Schwendner, Peter. “Advances in Financial Machine Learning.” Quantitative Finance, vol. 20, no. 2, Jan. 2020, pp. 189–90, https://doi.org/10.1080/14697688.2019.1703030.


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