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nexusstc/Application of Quantitative Techniques for the Prediction of Bank Acquisition Targets/f887aa770f89da6acf9500836ca11489.pdf
Application of Quantitative Techniques for the Prediction of Bank Acquisition Targets (Series on Computers and Operations Research) (Series on Computers and Operations Research) 🔍
Fotios Pasiouras; Constantin Zopounidis; Sailesh Kumar Tanna World Scientific Publishing Company, Series on Computers and Operations Research, Series On Computers And Operations Research, 2005
英语 [en] · PDF · 13.2MB · 2005 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save
描述
In recent years, the banking industry has faced significant challenges due to deregulation, globalization, financial innovation, and intensified global competition. In response to these challenges, banks have adopted strategies to grow and expand their activities, with mergers and acquisitions (M & As) being one of the most popular over the last decade. This unique book thus discusses the use of quantitative classification methods for the prediction of bank acquisitions. With an overview of the M & A trends in the EU banking industry and a survey of the motives for M & As, the authors compare various statistical and computational methodologies used to analyze and predict bank acquisitions. The material constitutes a useful basis for researchers and practitioners in banking management to develop and analyze investment decisions related to M & As
备用文件名
lgli/Application Of Quantitative Techniques For The Pre - Fotios Pasiouras.pdf
备用文件名
lgrsnf/Application Of Quantitative Techniques For The Pre - Fotios Pasiouras.pdf
备用文件名
zlib/no-category/Fotios Pasiouras; Constantin Zopounidis; Sailesh Kumar Tanna/Application Of Quantitative Techniques For The Prediction Of Bank Acquisition Targets_25875814.pdf
备选标题
International Financial Instability: Global Banking And National Regulation Global Banking and National Regulation
备选作者
Pasiouras, Fotios, Zopounidis, Constantin, Tanna, Sailesh Kumar
备选作者
Fotios Pasiouras; Sailesh Tanna; Constantin Zopounidis
备用出版商
World Scientific Publishing Co Pte Ltd
备用版本
Series on computers and operations research -- v. 5, Singapore, Hackensack, NJ, Singapore, 2005
备用版本
World Scientific Publishing Company, Singapore, 2005
备用版本
Singapore ; Hackensack NJ, c2005
备用版本
Singapore, United States, 2006
备用版本
October 30, 2005
备用版本
1, 20051004
元数据中的注释
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元数据中的注释
Includes bibliographical references (p. 257-276) and index.
备用描述
1. Banks M&As : motives and evidence. 1.1. Overview. 1.2. M&As trends in the European Union. 1.3. Reasons and motives for banks M&As. 1.4. Studies on Banks' M&As -- 2. Studies on the prediction of acquisition targets. 2.1. Introduction. 2.2. Studies employing statistical techniques. 2.3. Studies using econometric techniques. 2.4. Other studies. 2.5. Conclusions -- 3. Methodological framework for the development of acquisition targets prediction model. 3.1. Introduction. 3.2. Sampling considerations. 3.3. Variables selection process. 3.4. Method selection. 3.5. Aspects of model evaluation. 3.6. Conclusion -- 4. Data and preliminary analysis. 4.1. Introduction. 4.2. Data sources. 4.3. Samples construction. 4.4. Identification of candidate variables. 4.5. Financial variables and country (Industry) adjustment. 4.6. Variables reduction process. 4.7. Conclusion -- 5. Development of acquisitions prediction models. 5.1. Introduction. 5.2. Summary of results of model comparisons. 5.3. Development and evaluation of prediction models. 5.4. Conclusions -- 6. Integration of prediction models. 6.1. Introduction. 6.2. Integrated (multi-classifiers) models. 6.3. Development and evaluation of integration models. 6.4. Conclusions -- 7. Conclusions. 7.1. Introduction. 7.2. Why prediction models for EU banks. 7.3. Summary ofthe findings. 7.4. Why classification results differ across methods? 7.5. Suggestions for further research
备用描述
Over the last two decades, a number of significant changes occurred in the banking industry, such as deregulation, globalisation, financial innovations, improvements in communication and computing technology, increased competition from within the sector and from non-bank financial intermediaries, to name a few.
开源日期
2023-08-27
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