1.

Record Nr.

UNINA9910784047403321

Autore

Pasiouras Fotios

Titolo

Application of quantitative techniques for the prediction of bank acquisition targets [[electronic resource] /] / Fotios Pasiouras, Sailesh Tanna, Constantin Zopounidis

Pubbl/distr/stampa

Singapore ; ; Hackensack, NJ, : World Scientific, c2005

ISBN

1-281-37288-9

9786611372880

981-270-320-9

Descrizione fisica

1 online resource (293 p.)

Collana

Series on computers and operations research ; ; v. 5

Classificazione

83.44

Altri autori (Persone)

TannaSailesh

ZopounidisConstantin

Disciplina

332.1

Soggetti

Bank mergers - Econometric models

Prediction theory

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references (p. 257-276) and index.

Nota di contenuto

Preface; Contents; 1. Banks M&As: Motives and Evidence; 2. Studies on the Prediction of Acquisition Targets; 3 . Methodological Framework for the Development of Acquisition Targets Prediction Model; 4 . Data and Preliminary Analysis; 5 . Development of Acquisitions Prediction Models; 6 . Integration of Prediction Models; 7 . Conclusions; Bibliography; Index

Sommario/riassunto

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 variou