Prediction of Corporate Credit Ratings with Machine Learning: Simple Interpretative Models
Koresh Galil (),
Ami Hauptman and
Rosit Levy Rosenboim
Additional contact information
Koresh Galil: BGU
Ami Hauptman: Computer Science Department of Sapir College
Rosit Levy Rosenboim: Applied Economics Department of Sapir College
No 2308, Working Papers from Ben-Gurion University of the Negev, Department of Economics
Keywords: Corporate Ratings; Machine Learning; Classification and Regression Tree; Support Vector Regression; CART; SVR; Size (search for similar items in EconPapers)
JEL-codes: C45 C53 G24 G32 (search for similar items in EconPapers)
Pages: 15 pages
Date: 2023
New Economics Papers: this item is included in nep-big, nep-cfn, nep-cmp and nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://in.bgu.ac.il/en/humsos/Econ/Workingpapers/2308.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bgu:wpaper:2308
Access Statistics for this paper
More papers in Working Papers from Ben-Gurion University of the Negev, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Aamer Abu-Qarn ().