Corporate Bankruptcy Prediction : International Trends and Local Experience
Bankruptcy prediction is one of the most important research areas in corporate finance. Bankruptcies are an indispensable element of the functioning of the market economy, and at the same time generate significant losses for stakeholders. Hence, this book was established to collect the results of re...
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| Year of Publication: | 2020 |
| Language: | English |
| Physical Description: | 1 electronic resource (202 p.) |
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(CKB)5400000000044306 (oapen)https://directory.doabooks.org/handle/20.500.12854/68611 (EXLCZ)995400000000044306 |
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Prusak, Błażej edt Corporate Bankruptcy Prediction International Trends and Local Experience Corporate Bankruptcy Prediction Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020 1 electronic resource (202 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Bankruptcy prediction is one of the most important research areas in corporate finance. Bankruptcies are an indispensable element of the functioning of the market economy, and at the same time generate significant losses for stakeholders. Hence, this book was established to collect the results of research on the latest trends in predicting the bankruptcy of enterprises. It suggests models developed for different countries using both traditional and more advanced methods. Problems connected with predicting bankruptcy during periods of prosperity and recession, the selection of appropriate explanatory variables, as well as the dynamization of models are presented. The reliability of financial data and the validity of the audit are also referenced. Thus, I hope that this book will inspire you to undertake new research in the field of forecasting the risk of bankruptcy. English Economics, finance, business & management bicssc ISA 701 audit expectation gap key audit matters materiality Poland corporate bankruptcy forecasting fuzzy sets artificial neural networks decision trees bankruptcy prediction tax arrears payment defaults financial ratios failure bankruptcy chapter 11 regression count meta-analysis literature review manufacturing insolvency prediction citation mining classification credit risk modelling corporate failure rating systems ensemble classifiers boosting bagging stacking scoring models insolvency financial distress default forecasting methods models predicting financial distress phases of economic cycle Czech Republic European large companies bankruptcy risk company performance Principal Component Analysis neural networks support vector machine bankruptcy model 3-03928-911-X 3-03928-912-8 Prusak, Błażej oth |
| language |
English |
| format |
eBook |
| author2 |
Prusak, Błażej |
| author_facet |
Prusak, Błażej |
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b p bp |
| author2_role |
Sonstige |
| title |
Corporate Bankruptcy Prediction International Trends and Local Experience |
| spellingShingle |
Corporate Bankruptcy Prediction International Trends and Local Experience |
| title_sub |
International Trends and Local Experience |
| title_full |
Corporate Bankruptcy Prediction International Trends and Local Experience |
| title_fullStr |
Corporate Bankruptcy Prediction International Trends and Local Experience |
| title_full_unstemmed |
Corporate Bankruptcy Prediction International Trends and Local Experience |
| title_auth |
Corporate Bankruptcy Prediction International Trends and Local Experience |
| title_alt |
Corporate Bankruptcy Prediction |
| title_new |
Corporate Bankruptcy Prediction |
| title_sort |
corporate bankruptcy prediction international trends and local experience |
| publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
| publishDate |
2020 |
| physical |
1 electronic resource (202 p.) |
| isbn |
3-03928-911-X 3-03928-912-8 |
| illustrated |
Not Illustrated |
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AT prusakbłazej corporatebankruptcypredictioninternationaltrendsandlocalexperience AT prusakbłazej corporatebankruptcyprediction |
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Corporate Bankruptcy Prediction International Trends and Local Experience |
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1796652002031173632 |
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