LEADER 03720nam 22007455 450 001 9910298466103321 005 20230810184449.0 010 $a3-319-18482-2 024 7 $a10.1007/978-3-319-18482-1 035 $a(CKB)3710000000436756 035 $a(SSID)ssj0001558264 035 $a(PQKBManifestationID)16183083 035 $a(PQKBTitleCode)TC0001558264 035 $a(PQKBWorkID)14819279 035 $a(PQKB)10564852 035 $a(DE-He213)978-3-319-18482-1 035 $a(MiAaPQ)EBC6315329 035 $a(MiAaPQ)EBC5589092 035 $a(Au-PeEL)EBL5589092 035 $a(OCoLC)911179422 035 $a(PPN)18639909X 035 $a(EXLCZ)993710000000436756 100 $a20150610d2015 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aLinear and Mixed Integer Programming for Portfolio Optimization /$fby Renata Mansini, W?odzimierz Ogryczak, M. Grazia Speranza 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (XII, 119 p. 25 illus., 12 illus. in color.) 225 1 $aEURO Advanced Tutorials on Operational Research,$x2364-6888 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-18481-4 327 $aPortfolio optimization -- Linear models for portfolio optimization -- Portfolio optimization with transaction costs -- Portfolio optimization with other real features -- Rebalancing and index tracking -- Theoretical framework -- Computational issues. 330 $aThis book presents solutions to the general problem of single period portfolio optimization. It introduces different linear models, arising from different performance measures, and the mixed integer linear models resulting from the introduction of real features. Other linear models, such as models for portfolio rebalancing and index tracking, are also covered. The book discusses computational issues and provides a theoretical framework, including the concepts of risk-averse preferences, stochastic dominance and coherent risk measures. The material is presented in a style that requires no background in finance or in portfolio optimization; some experience in linear and mixed integer models, however, is required. The book is thoroughly didactic, supplementing the concepts with comments and illustrative examples. 410 0$aEURO Advanced Tutorials on Operational Research,$x2364-6888 606 $aOperations research 606 $aFinance 606 $aSocial sciences$xMathematics 606 $aManagement science 606 $aOperations Research and Decision Theory 606 $aFinancial Economics 606 $aMathematics in Business, Economics and Finance 606 $aOperations Research, Management Science 615 0$aOperations research. 615 0$aFinance. 615 0$aSocial sciences$xMathematics. 615 0$aManagement science. 615 14$aOperations Research and Decision Theory. 615 24$aFinancial Economics. 615 24$aMathematics in Business, Economics and Finance. 615 24$aOperations Research, Management Science . 676 $a650 700 $aMansini$b Renata$4aut$4http://id.loc.gov/vocabulary/relators/aut$0758972 702 $aOgryczak$b W?odzimierz$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aSperanza$b M. Grazia$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910298466103321 996 $aLinear and Mixed Integer Programming for Portfolio Optimization$92533485 997 $aUNINA