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Detecting zombie firms in a sample of Finnish small firms
被引:0
|作者:
Laitinen, Erkki K.
[1
]
机构:
[1] Univ Vaasa, Sch Accounting & Finance, Wolffintie 34, FI-65200 Vaasa, Finland
来源:
关键词:
PREDICTION;
D O I:
10.1111/1758-5899.13422
中图分类号:
D81 [国际关系];
学科分类号:
030207 ;
摘要:
The objective of the study was to develop a method to detect zombie firms in a sample of mainly very small companies. The original sample consisted of 70,809 active and 134 bankrupt Finnish companies (or firms in insolvency proceedings) for 2018-2020. In the sample firms, the median number of employees was only 2. First, a logistic regression model to measure bankruptcy risk was estimated using three financial ratios as independent variables reflecting profitability, liquidity and solvency. Zombie firms were defined as active companies which are technically bankrupt but are still operating in the market. Second, following this definition, the model was used to assess the bankruptcy risk of active firms, and a zombie company was operationally defined as an active company whose bankruptcy risk exceeds the median for bankrupt companies in three consecutive years. In this way, over 2000 zombie companies were detected making in total 3.5% of the active companies.
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页码:99 / 114
页数:16
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