LEADER 01217nam2-2200385---450 001 990000638730203316 005 20240626094001.0 035 $a0063873 035 $aUSA010063873 035 $a(ALEPH)000063873USA01 035 $a0063873 100 $a20010925d1979----km-y0itay0103----ba 101 $aeng 102 $aDE 105 $a||||||||001yy 200 1 $aMean-value theorems$fP.D.T.A. Elliott$v1. 210 $aBerlin$cSpringer-Verlag$dc1979 215 $aXXII, 359, XXIII p.$c4 ritr.$d23 cm 225 2 $a<> Grundlehren der Matamatischen Wissenschaften$v239 410 0$1001000316845$12001$a<> Grundlehren der Mathematischen Wissenschaften$v239 461 $12001$aProbablistic number theory 606 0 $aTeoria dei numeri$2BNCF 676 $a512.7 700 1$aELLIOTT,$bPeter D.T.A.$012030 801 0$aIT$bsalbc$gISBD 912 $a990000638730203316 951 $a510 GLM 239$b7688 CBS$c510$d00108842 959 $aBK 969 $aSCI 979 $aPATTY$b90$c20010925$lUSA01$h1205 979 $aPATTY$b90$c20010925$lUSA01$h1206 979 $c20020403$lUSA01$h1713 979 $aPATRY$b90$c20040406$lUSA01$h1644 996 $aMean-value theorems$9957997 997 $aUNISA LEADER 03612nam 22006495 450 001 9910298508203321 005 20200920174133.0 010 $a3-658-07259-8 024 7 $a10.1007/978-3-658-07259-9 035 $a(CKB)3710000000238374 035 $a(EBL)1965678 035 $a(OCoLC)890727122 035 $a(SSID)ssj0001353714 035 $a(PQKBManifestationID)11831920 035 $a(PQKBTitleCode)TC0001353714 035 $a(PQKBWorkID)11316345 035 $a(PQKB)10252365 035 $a(DE-He213)978-3-658-07259-9 035 $a(MiAaPQ)EBC1965678 035 $a(PPN)181348845 035 $a(EXLCZ)993710000000238374 100 $a20140910d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe Use of Risk Budgets in Portfolio Optimization /$fby Albina Unger 205 $a1st ed. 2015. 210 1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Gabler,$d2015. 215 $a1 online resource (443 p.) 300 $aDescription based upon print version of record. 311 $a3-658-07258-X 320 $aIncludes bibliographical references. 327 $aTheoretical Background -- Alternative Approaches in Portfolio Management -- Minimum Risk Portfolios -- Risk Budgeting Portfolios -- Robustness -- Factor Models. 330 $aRisk budgeting models set risk diversification as objective in portfolio allocation and are mainly promoted from the asset management industry. Albina Unger examines the portfolios based on different risk measures in several aspects from the academic perspective (Utility, Performance, Risk, Different Market Phases, Robustness, and Factor Exposures) to investigate the use of these models for asset allocation. Beside the risk budgeting models, alternatives of risk-based investment styles are also presented and examined. The results show that equalizing the risk across the assets does not prevent losses, especially in crisis periods and the performance can mainly be explained by exposures to known asset pricing factors. Thus, the advantages of these approaches compared to known minimum risk portfolios are doubtful.  Contents Theoretical Background Alternative Approaches in Portfolio Management Minimum Risk Portfolios Risk Budgeting Portfolios Robustness Factor Models  Target Groups Researchers and students in the field of economics with a focus on finance and financial economics Finance/investment professionals  The Author Albina Unger holds a doctoral degree from the Faculty of Finance at the University of Bremen, Germany. She now works as a risk manager. 606 $aFinance 606 $aMacroeconomics 606 $aManagement 606 $aFinance, general$3https://scigraph.springernature.com/ontologies/product-market-codes/600000 606 $aMacroeconomics/Monetary Economics//Financial Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W32000 606 $aManagement$3https://scigraph.springernature.com/ontologies/product-market-codes/515000 615 0$aFinance. 615 0$aMacroeconomics. 615 0$aManagement. 615 14$aFinance, general. 615 24$aMacroeconomics/Monetary Economics//Financial Economics. 615 24$aManagement. 676 $a330 676 $a332 676 $a650 676 $a657.8333 700 $aUnger$b Albina$4aut$4http://id.loc.gov/vocabulary/relators/aut$01061703 906 $aBOOK 912 $a9910298508203321 996 $aThe Use of Risk Budgets in Portfolio Optimization$92519750 997 $aUNINA