The application of structural and machine learning models to predict the default risk of listed companies in the Iranian capital market.
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| Title: | The application of structural and machine learning models to predict the default risk of listed companies in the Iranian capital market. |
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| Authors: | Peykani P; School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran., Sargolzaei M; Department of Finance and Banking, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran., Sanadgol N; School of Management, Economics and Progress Engineering, Iran University of Science and Technology, Tehran, Iran., Takaloo A; Department of Finance and Banking, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran., Kamyabfar H; Department of Finance and Banking, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran. |
| Source: | PloS one [PLoS One] 2023 Nov 27; Vol. 18 (11), pp. e0292081. Date of Electronic Publication: 2023 Nov 27 (Print Publication: 2023). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0292081 |
