Corporate governance performance ratings with machine learning
Corporate governance performance ratings with machine learning
About this item
Full title
Corporate governance performance ratings with machine learning
Author / Creator
Journal title
International journal of intelligent systems in accounting, finance & management, 2022, Vol.29 (1), p.50
Language
English
Formats
Subjects
More information
Scope and Contents
Contents
We use machine learning with a cross-sectional research design to predict governance controversies and to develop a measure of the governance component of the environmental, social, governance (ESG) metrics. Based on comprehensive governance data from 2,517 companies over a period of 10 years and investigating nine machine-learning algorithms, we f...
Alternative Titles
Full title
Corporate governance performance ratings with machine learning
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_swepub_primary_oai_DiVA_org_su_203457
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_DiVA_org_su_203457
Other Identifiers
ISSN
1055-615X,1099-1174
DOI
10.1002/isaf.1505
