Machine learning style rotation Evidence from the Johannesburg Stock Exchange

dc.article.end-page15en
dc.article.start-page1en
dc.citation.doi10.1080/23322039.2024.2402893en
dc.contributor.authorMoshe Pageen
dc.contributor.authorDavid McClellanden
dc.contributor.authorChristiaan Aureten
dc.date.accessioned2024-09-25T08:55:37Z
dc.date.available2024-09-25T08:55:37Z
dc.facultyFACULTY OF COMMERCE, LAW & MANAGEMENTen
dc.identifier.citationIBSSen
dc.identifier.issn2332-2039en
dc.identifier.urihttps://hdl.handle.net/10539/41055
dc.journal.titleMachine learning style rotation Evidence from the Johannesburg Stock Exchangeen
dc.journal.volume12en
dc.titleMachine learning style rotation Evidence from the Johannesburg Stock Exchangeen
dc.typeJournal Articleen
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Journal Article.pdf
Size:
3.66 MB
Format:
Adobe Portable Document Format
Description:
Bitstream uploaded by REST Client