
The Library
Practical applications of interpretable, transparent, and auditable machine learning : an alternative to factor investing
Tools
Philps, Daniel, Tilles, David and Law, Timothy (2022) Practical applications of interpretable, transparent, and auditable machine learning : an alternative to factor investing. Practical Applications . pa.2022.pa492. doi:10.3905/pa.2022.pa492 ISSN 2329-0196.
Research output not available from this repository.
Request-a-Copy directly from author or use local Library Get it For Me service.
Official URL: http://dx.doi.org/10.3905/pa.2022.pa492
Item Type: | Journal Article | ||||
---|---|---|---|---|---|
Divisions: | Faculty of Social Sciences > Warwick Business School | ||||
Journal or Publication Title: | Practical Applications | ||||
Publisher: | Portfolio Management Research | ||||
ISSN: | 2329-0196 | ||||
Official Date: | 27 April 2022 | ||||
Dates: |
|
||||
Article Number: | pa.2022.pa492 | ||||
DOI: | 10.3905/pa.2022.pa492 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
Request changes or add full text files to a record
Repository staff actions (login required)
![]() |
View Item |