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Warning systems of enterprises against the risk of bankruptcy
Details
This book is devoted to the issue of forecasting the bankruptcy risk of enterprises. The current global financial crisis proved that even the best international companies must constantly monitor their financial situation. In the book author presented a review of more than 600 studies from around the world on the issue of bankruptcy of firms. Author also presented the system developed by him that forecasts the financial situation of enterprises. The system is based on a model that uses an innovative method fuzzy logic. In worldwide literature, it is one of the first attempts at using fuzzy logic to predict enterprise bankruptcy. This system is an "open application", meaning its structure can be freely modified. The models presented in that book are superior to even the sophisticated methods of artificial intelligence. The information contained herein can be used in practice in several respects: -early warning against deteriorating financial situation of an audited company, -assessment of the solvency of counterparties, -credit risk assessment by financial institutions, -risk assessment of buying company shares by investors in global stock exchanges. Webpage: www.korol.eu
Autorentext
Dr. Eng. Tomasz Korol has obtained his PhD degree in Economic Sciences in 2004 at Gdansk University of Technology. He also worked at the University of Applied Sciences in Stralsund as visiting professor and as associate professor at Tecnologico de Monterrey. He is the author of 45 research papers on forecasting financial situation of enterprises.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783848447398
- Auflage Aufl.
- Sprache Englisch
- Größe H220mm x B150mm x T12mm
- Jahr 2012
- EAN 9783848447398
- Format Kartonierter Einband (Kt)
- ISBN 978-3-8484-4739-8
- Titel Warning systems of enterprises against the risk of bankruptcy
- Autor Tomasz Korol
- Untertitel Artificial intelligence in financial management
- Gewicht 326g
- Herausgeber LAP Lambert Academic Publishing
- Anzahl Seiten 208
- Genre Wirtschaft