Titlebook: Corporate Financial Distress; A Study of the Itali Matteo Pozzoli,Francesco Paolone Book 2017 The Author(s) 2017 Financial Engineering.Fina

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书目名称Corporate Financial Distress影响因子(影响力)




书目名称Corporate Financial Distress影响因子(影响力)学科排名




书目名称Corporate Financial Distress网络公开度




书目名称Corporate Financial Distress网络公开度学科排名




书目名称Corporate Financial Distress被引频次




书目名称Corporate Financial Distress被引频次学科排名




书目名称Corporate Financial Distress年度引用




书目名称Corporate Financial Distress年度引用学科排名




书目名称Corporate Financial Distress读者反馈




书目名称Corporate Financial Distress读者反馈学科排名

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Data Analysis and Empirical Results,s and we find they are not significant in the case of Italian manufacturing companies. For this reason, we propose a new model by re-estimating all the parameters of previous models. This enables us to estimate the probability of bankruptcy with the best accuracy.

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Conclusions and Implications, financial distress and bankruptcy prediction modeling is not the primary focus, it would be time-consuming, uneconomical, and superfluous to first estimate a failure prediction model (or models) and then study the phenomenon of interest.

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Corporate Financial Distress978-3-319-67355-4Series ISSN 2193-1720 Series E-ISSN 2193-1739

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Miroslava Vandličková,Iveta Markovás and we find they are not significant in the case of Italian manufacturing companies. For this reason, we propose a new model by re-estimating all the parameters of previous models. This enables us to estimate the probability of bankruptcy with the best accuracy.

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Richard Kuracina,Zuzana Szabová,Karol BalogDuring 2007, one of the worst global crises struck the business world; it originated in the United States, then Europe became involved less than a year later. This global economic crisis is considered the worst since the Great Depression of the 1920s and 1930s.