Dynamic analysis of the forecasting bankruptcy under presence of unobserved heterogeneity

被引:0
|
作者
Ilyes Abid
Farid Mkaouar
Olfa Kaabia
机构
[1] ISC Paris Business School,Department of Finance
[2] CNAM,LIRSA
[3] INSEEC Business School,INSEEC Lab
来源
关键词
Bankruptcy default; Unobserved heterogeneity factors ; Duration model; Multi-period logit model; Maximum simulated likelihood estimation; GHK algorithm;
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摘要
This paper illustrates the importance of referring to a dynamic approach when forecasting firms bankruptcies, paying a particular attention to French SMEs. Based on Shummay’s (J Bus 74:101–124, 2001), we build a duration model and extend it by incorporating unobservable heterogeneity. Moreover, we resort to a dynamic dichotomous specification in which “right side” censored data are taken into account. We emphasize the complexity of the calculations of integrals that must be implemented and show how to overcome this challenge by applying the Geweke, Hajivassiliou and Keane algorithm which involves the technique of the simulated maximum likelihood. The findings prove that our dynamic approach, which integrates macroeconomic variables and takes account of both random effects and exogenous shocks, provides credible results. Besides, our method provides the predictive content of macroeconomic variables and the unobservable heterogeneity, which is helpful in forecasting firms bankruptcies.
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页码:241 / 256
页数:15
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