LEADER 04320nam 22007815 450 001 9910298523603321 005 20200919173217.0 010 $a3-658-04903-0 024 7 $a10.1007/978-3-658-04903-4 035 $a(CKB)2550000001199630 035 $a(EBL)1698470 035 $a(OCoLC)881162017 035 $a(SSID)ssj0001185833 035 $a(PQKBManifestationID)11708212 035 $a(PQKBTitleCode)TC0001185833 035 $a(PQKBWorkID)11212521 035 $a(PQKB)11027922 035 $a(MiAaPQ)EBC1698470 035 $a(DE-He213)978-3-658-04903-4 035 $a(PPN)176124195 035 $a(EXLCZ)992550000001199630 100 $a20140123d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIntegrated Risk Management of Non-Maturing Accounts $ePractical Application and Testing of a Dynamic Replication Model /$fby Jeffry Straßer 205 $a1st ed. 2014. 210 1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Gabler,$d2014. 215 $a1 online resource (127 p.) 225 1 $aBestMasters,$x2625-3577 300 $aDescription based upon print version of record. 311 $a3-658-04902-2 320 $aIncludes bibliographical references. 327 $aModelling of risk factors -- Setting up a multistage stochastic program -- Model output and performance analysis -- Full program code for all described steps in open-source statistical programming language R. 330 $aCustomer accounts that neither have a fixed maturity nor a fixed interest rate represent a substantial part of a consumer bank?s funding. The modelling for their risk management and pricing is a challenging yet crucial task in today?s asset/liability management, with increasing computational power allowing for new approaches. Jeffry Straßer outlines an implementation of a state-of-the-art dynamic replication model in detail. A case study with recent data supports the expected superiority of the model. Additionally, it provides tangible recommendations for model specifications derived from practical and mathematical consideration, as well as empirical findings. Practitioners will appreciate the comprehensive programming code attached.   Contents Modelling of risk factors Setting up a multistage stochastic program Model output and performance analysis Full program code for all described steps in open-source statistical programming language R      Target Groups Researchers and students in the field of bank (risk) management, statistics and business informatics Practitioners in bank management, bank risk management, and bank regulation   The Author Jeffry Straßer MA obtained his master´s degree at the University of Applied Sciences bfi Vienna in the programme ?Quantitative Asset and Risk Management?. 410 0$aBestMasters,$x2625-3577 606 $aBusiness 606 $aManagement science 606 $aFinance 606 $aInformation technology 606 $aBusiness?Data processing 606 $aOperations research 606 $aDecision making 606 $aBusiness and Management, general$3https://scigraph.springernature.com/ontologies/product-market-codes/500000 606 $aFinance, general$3https://scigraph.springernature.com/ontologies/product-market-codes/600000 606 $aIT in Business$3https://scigraph.springernature.com/ontologies/product-market-codes/522000 606 $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000 615 0$aBusiness. 615 0$aManagement science. 615 0$aFinance. 615 0$aInformation technology. 615 0$aBusiness?Data processing. 615 0$aOperations research. 615 0$aDecision making. 615 14$aBusiness and Management, general. 615 24$aFinance, general. 615 24$aIT in Business. 615 24$aOperations Research/Decision Theory. 676 $a332.1068 676 $a332.1068/1 676 $a332.10681 700 $aStraßer$b Jeffry$4aut$4http://id.loc.gov/vocabulary/relators/aut$01057888 906 $aBOOK 912 $a9910298523603321 996 $aIntegrated Risk Management of Non-Maturing Accounts$92495378 997 $aUNINA