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-...

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Hlavní autor: Hacibedel, Burcu
Další autoři: Qu, Ritong
Médium: Časopis
Jazyk:English
Vydáno: Washington, D.C. : International Monetary Fund, 2022.
Edice:IMF Working Papers; Working Paper ; No. 2022/153
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On-line přístup:Full text available on IMF