Understanding and Predicting Systemic Corporate Distress : A Machine-Learning Approach /
In this paper, we study systemic non-financial corporate sector distress using firm-level probabilities of default (PD), covering 55 economies, and spanning the last three decades. Systemic corporate distress is identified by elevated PDs across a large portion of the firms in an economy. A machine-...
| מחבר ראשי: | |
|---|---|
| מחברים אחרים: | |
| פורמט: | כתב-עת |
| שפה: | English |
| יצא לאור: |
Washington, D.C. :
International Monetary Fund,
2022.
|
| סדרה: | IMF Working Papers; Working Paper ;
No. 2022/153 |
| נושאים: | |
| גישה מקוונת: | Full text available on IMF |