LEADER 02525nam 2200625 a 450 001 996206468003316 005 20170809171851.0 010 $a1-283-07218-1 010 $a1-118-53160-4 010 $a9786613072184 010 $a0-470-87922-X 035 $a(CKB)2670000000081980 035 $a(EBL)711866 035 $a(OCoLC)715387968 035 $a(SSID)ssj0000471102 035 $a(PQKBManifestationID)11299444 035 $a(PQKBTitleCode)TC0000471102 035 $a(PQKBWorkID)10427869 035 $a(PQKB)10157629 035 $a(MiAaPQ)EBC711866 035 $a(PPN)175878706 035 $a(EXLCZ)992670000000081980 100 $a20101119d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aManaged futures for institutional investors$b[electronic resource] $eanalysis and portfolio construction /$fGalen Burghardt, Brian Walls 210 $aHoboken, N.J. $cBloomberg Press$dc2011 215 $a1 online resource (367 p.) 225 1 $aBloomberg financial series 300 $aDescription based upon print version of record. 311 $a1-57660-374-1 320 $aIncludes bibliographical references and indexes. 327 $aPt. 1. A practical guide to the industry -- pt. 2. Building blocks -- pt. 3. Portfolio construction. 330 $aA practical guide to institutional investing success Managed Futures for Institutional Investors is an essential guide that walks you through the important questions that need to be addressed before investing in this asset class and contains helpful direction for investors during the investing process. Backed by years of institutional experience, the authors reveal the opportunities offered by managed futures. They also include information on practices in the managed futures area and present the various analytical tools and building blocks required to use managed futures effe 410 0$aBloomberg financial series. 606 $aFutures 606 $aPortfolio management 606 $aInstitutional investors 615 0$aFutures. 615 0$aPortfolio management. 615 0$aInstitutional investors. 676 $a332.64/52 676 $a332.6452 700 $aBurghardt$b Galen$0115323 701 $aWalls$b Brian$0958413 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996206468003316 996 $aManaged futures for institutional investors$92171473 997 $aUNISA LEADER 02488nam0 22004693i 450 001 VAN00248767 005 20240806101415.532 017 70$2N$a9783030359935 100 $a20220729d2020 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aCharge Transport in Low Dimensional Semiconductor Structures$eThe Maximum Entropy Approach$fVito Dario Camiola, Giovanni Mascali, Vittorio Romano 210 $aCham$cSpringer$d2020 215 $axvi, 337 p.$cill.$d24 cm 410 1$1001VAN00067048$12001 $aMathematics in industry$1210 $aBerlin [etc.]$cSpringer$d2002-$v31 410 1$1001VAN00114954$12001 $aˆThe ‰European Consortium for Mathematics in Industry. Subseries$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN00248769$aCharge Transport in Low Dimensional Semiconductor Structures$92902427 606 $a35Q20$xBoltzmann equations [MSC 2020]$3VANC033629$2MF 606 $a35Q55$xNLS equations (nonlinear Schroedinger equations) [MSC 2020]$3VANC022712$2MF 606 $a35Q82$xPDEs in connection with statistical mechanics [MSC 2020]$3VANC033951$2MF 606 $a82-XX$xStatistical mechanics, structure of matter [MSC 2020]$3VANC021931$2MF 606 $a82D37$xStatistical mechanical studies of semiconductors [MSC 2020]$3VANC023098$2MF 606 $a82D80$xStatistical mechanical studies of nanostructures and nanoparticles [MSC 2020]$3VANC034005$2MF 610 $aCharge transport in confined structure$9KW:K 610 $aCharge transport in graphene$9KW:K 610 $aDG-MOSFET$9KW:K 610 $aMaximum Entropy Principle$9KW:K 610 $aSimulation of electron devices$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aCamiola$bVito Dario$3VANV203573$0947750 701 1$aMascali$bGiovanni$3VANV203574$01251988 701 1$aRomano$bVittorio$3VANV093324$067761 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20241115$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-35993-5$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00248767 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 4586 $e08eMF4586 20220729 996 $aCharge Transport in Low Dimensional Semiconductor Structures$92902427 997 $aUNICAMPANIA