Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Practical applications of interpretable, transparent, and auditable machine learning : an alternative to factor investing

Tools
- Tools
+ 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

Request Changes to record.

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:
DateEvent
27 April 2022Published
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 View Item
twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us