Owner liability and financial reporting information as predictors of firm default in bank loans
成果类型:
Article
署名作者:
Bhimani, Alnoor; Gulamhussen, Mohamed Azzim; Lopes, Samuel da Rocha
署名单位:
University of London; London School Economics & Political Science; Instituto Universitario de Lisboa
刊物名称:
REVIEW OF ACCOUNTING STUDIES
ISSN/ISSBN:
1380-6653
DOI:
10.1007/s11142-013-9269-0
发表日期:
2014
页码:
769-804
关键词:
ORGANIZATIONAL COMPLEXITY
distress
bankruptcy
credit
ratios
MARKET
RISK
probability
ability
MODEL
摘要:
We examine the effects of owner liability and non-accounting and financial accounting information on the probability of default as defined in Basel II in bank loan contracted by non listed firms. We model default as a function of owner liability and accounting and non-accounting information of non-listed firms, drawing on 43,117 annual accounts of 16,029 firms over a 7-year period. Our estimations based on mixed logistic regressions with random parameters show that the predicted default probability of full-liability firms is 0.72 times that of limited liability firms. The likelihood ratio test for omitted variables confirms the additional predictive ability of liability status over and above other non-accounting and financial accounting information. A Heckman self-selection model does not indicate sampling bias. The particular definition of default used in the study enables the findings to be generalizable across other institutional contexts.
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