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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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發(fā)表于 2025-3-21 17:14:00 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Corporate Financial Distress
副標題A Study of the Itali
編輯Matteo Pozzoli,Francesco Paolone
視頻videohttp://file.papertrans.cn/239/238446/238446.mp4
叢書名稱SpringerBriefs in Finance
圖書封面Titlebook: Corporate Financial Distress; A Study of the Itali Matteo Pozzoli,Francesco Paolone Book 2017 The Author(s) 2017 Financial Engineering.Fina
描述.This book explores methods and techniques to predict and eventually prevent financial distress in corporations. It analyzes the effects of the global financial crisis on Italian manufacturing companies and, more specifically, whether the crisis has increased the number of firms that are likely to fail. In the first chapter, the authors widely discuss the Corporate Financial Distress as well as the process and costs incurred. The second chapter is based on a review of the most used statistical models, splitting them into accounting-based and market-based models. The following chapter is dedicated to the methodology and the empirical analysis on Italian manufacturing companies from different industries. The last chapter presents practical evidence from Italian manufacturing companies during the recent financial crisis..
出版日期Book 2017
關(guān)鍵詞Financial Engineering; Financial Accounting; Risk Management; Logit Regression; Performance Indicators; I
版次1
doihttps://doi.org/10.1007/978-3-319-67355-4
isbn_softcover978-3-319-67354-7
isbn_ebook978-3-319-67355-4Series ISSN 2193-1720 Series E-ISSN 2193-1739
issn_series 2193-1720
copyrightThe Author(s) 2017
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 23:41:40 | 只看該作者
板凳
發(fā)表于 2025-3-22 04:09:24 | 只看該作者
地板
發(fā)表于 2025-3-22 06:55:13 | 只看該作者
SpringerBriefs in Financehttp://image.papertrans.cn/c/image/238446.jpg
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發(fā)表于 2025-3-22 11:26:32 | 只看該作者
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.
6#
發(fā)表于 2025-3-22 13:48:47 | 只看該作者
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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發(fā)表于 2025-3-22 19:06:24 | 只看該作者
Corporate Financial Distress978-3-319-67355-4Series ISSN 2193-1720 Series E-ISSN 2193-1739
8#
發(fā)表于 2025-3-22 23:34:55 | 只看該作者
Miroslava Vandli?ková,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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發(fā)表于 2025-3-23 04:34:15 | 只看該作者
10#
發(fā)表于 2025-3-23 08:37:27 | 只看該作者
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.
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