LEADER 03078nam 2200649 a 450 001 9910450730503321 005 20200520144314.0 010 $a1-281-37288-9 010 $a9786611372880 010 $a981-270-320-9 035 $a(CKB)1000000000334232 035 $a(EBL)296063 035 $a(OCoLC)476063161 035 $a(SSID)ssj0000104568 035 $a(PQKBManifestationID)11133610 035 $a(PQKBTitleCode)TC0000104568 035 $a(PQKBWorkID)10079526 035 $a(PQKB)10785682 035 $a(MiAaPQ)EBC296063 035 $a(WSP)00000801 035 $a(Au-PeEL)EBL296063 035 $a(CaPaEBR)ebr10174111 035 $a(CaONFJC)MIL137288 035 $a(EXLCZ)991000000000334232 100 $a20060912d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aApplication of quantitative techniques for the prediction of bank acquisition targets$b[electronic resource] /$fFotios Pasiouras, Sailesh Tanna, Constantin Zopounidis 210 $aSingapore ;$aHackensack, NJ $cWorld Scientific$dc2005 215 $a1 online resource (293 p.) 225 1 $aSeries on computers and operations research ;$vv. 5 300 $aDescription based upon print version of record. 311 $a981-256-518-3 320 $aIncludes bibliographical references (p. 257-276) and index. 327 $aPreface; 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 330 $aIn recent years, the banking industry has faced significant challenges due to deregulation, globalization, financial innovation, and intensified global competition. In response to these challenges, banks have adopted strategies to grow and expand their activities, with mergers and acquisitions (M&As) being one of the most popular over the last decade. This unique book thus discusses the use of quantitative classification methods for the prediction of bank acquisitions. With an overview of the M&A trends in the EU banking industry and a survey of the motives for M&As, the authors compare variou 410 0$aSeries on computers and operations research ;$vv. 5. 606 $aBank mergers$xEconometric models 606 $aPrediction theory 608 $aElectronic books. 615 0$aBank mergers$xEconometric models. 615 0$aPrediction theory. 676 $a332.1 686 $a83.44$2bcl 700 $aPasiouras$b Fotios$0882024 701 $aTanna$b Sailesh$0949904 701 $aZopounidis$b Constantin$0732748 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910450730503321 996 $aApplication of quantitative techniques for the prediction of bank acquisition targets$92147203 997 $aUNINA LEADER 02034nam 2200553 450 001 9910705817803321 005 20170809115305.0 035 $a(CKB)5470000002454243 035 $a(OCoLC)1000154541 035 $a(EXLCZ)995470000002454243 100 $a20170809j199811 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDetermination of yield in Inconel 718 for axial-torsional loading at temperatures up to 649°C /$fChristopher M. Gil and Cliff J. Lissenden, Bradley A. Lerch 210 1$aCleveland, Ohio :$cNational Aeronautics and Space Administration, Lewis Research Center,$dNovember 1998. 215 $a1 online resource (33 pages) $cillustrations 225 1 $aNASA/TM ;$v1998-208658 300 $a"November 1998." 300 $a"Performing organization: National Aeronautics and Space Administration, Lewis Research Center"--Report documentation page. 320 $aIncludes bibliographical references (pages 9-10). 606 $aHeat resistant alloys$2nasat 606 $aInconel (trademark)$2nasat 606 $aTorsion$2nasat 606 $aTemperature effects$2nasat 606 $aAxial loads$2nasat 606 $aStrain distribution$2nasat 606 $aYield strength$2nasat 606 $aHigh temperature environments$2nasat 615 7$aHeat resistant alloys. 615 7$aInconel (trademark) 615 7$aTorsion. 615 7$aTemperature effects. 615 7$aAxial loads. 615 7$aStrain distribution. 615 7$aYield strength. 615 7$aHigh temperature environments. 700 $aGil$b Christopher M.$01416811 702 $aLissenden$b Cliff Jesse 702 $aLerch$b Bradley A. 712 02$aLewis Research Center, 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910705817803321 996 $aDetermination of yield in Inconel 718 for axial-torsional loading at temperatures up to 649°C$93523451 997 $aUNINA