LEADER 03013nam 2200481 450 001 996418263003316 005 20220701182153.0 010 $a3-030-51434-X 024 7 $a10.1007/978-3-030-51434-1 035 $a(CKB)4100000011476538 035 $a(MiAaPQ)EBC6357820 035 $a(DE-He213)978-3-030-51434-1 035 $a(PPN)25022125X 035 $a(EXLCZ)994100000011476538 100 $a20210225d2020 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRetirement income recipes in R $efrom ruin probabilities to intelligent drawdowns /$fMoshe Arye Milevsky 205 $a1st ed. 2020. 210 1$aCham, Switzerland :$cSpringer,$d[2020] 210 4$dİ2020 215 $a1 online resource (XXIX, 302 p. 16 illus., 5 illus. in color.) 225 1 $aUse R 311 $a3-030-51433-1 327 $a1 Setting Expectations and Deviations -- 2 Loading and Getting to Know R -- 3 Coding the (Simple) Financial Life-cycle Model -- 4 Data in R: The Family Balance Sheet -- 5 Portfolio Longevity: Deterministic & Stochastic -- 6 Modeling the Risk of Sequence-of-Returns -- 7 Modeling Human Longevity and Life Tables -- 8 Life & Death in Continuous Time: Gompertz 101 -- 9 The Lifetime Ruin Probability (LRP) -- 10 Life Annuities: From Immediate to Deferred -- 11 Intelligent Drawdown Rates -- 12 Pensionization: From Benefits to Utility -- 13 Biological (and other) Ages -- 14 Exotic Annuities for Longevity Risk -- 15 Very Last Thoughts -- Glossary of User Defined R-Functions. . 330 $aThis book provides computational tools that readers can use to flourish in the retirement income industry. Each chapter describes recipe-like algorithms and explains how to implement them via simple scripts in the freely available R coding language. Students can use those skills to generate quantitative answers to the most common questions in retirement income planning, as well as to develop a deeper understanding of the finance and economics underlying the field itself. The book will be an excellent asset for experienced students who are interested in advanced wealth management, and specifically within courses that focus on holistic modeling of the retirement income process. The material will also be useful to current and future wealth management professionals within the financial services industry. Readers should have a solid understanding of financial principles, as well as a rudimentary background in economics and accounting. 410 0$aUse R! 606 $aFinance, Personal 606 $aR (Computer program language) 615 0$aFinance, Personal. 615 0$aR (Computer program language). 676 $a332.024 700 $aMilevsky$b Moshe Arye$f1967-$0875495 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996418263003316 996 $aRetirement income recipes in R$92233481 997 $aUNISA LEADER 01908aam 2200469I 450 001 9910711251303321 005 20151028093138.0 024 8 $aGOVPUB-C13-44ab4ec951537a81b9bdec6ec3b1219e 035 $a(CKB)5470000002481508 035 $a(OCoLC)927104719 035 $a(EXLCZ)995470000002481508 100 $a20151028d2015 ua 0 101 0 $aeng 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aBuilding Industry Reporting and Design for Sustainability (BIRDS) new residential database technical manual /$fJoshua Kneifel; Priya Lavappa; Anne Landfield Greig; Sangwon Suh 210 1$aGaithersburg, MD :$cU.S. Dept. of Commerce, National Institute of Standards and Technology,$d2015. 215 $a1 online resource (140 pages) $cillustrations (color) 225 1 $aNIST technical note ;$v1878 300 $a"June 2015." 300 $aContributed record: Metadata reviewed, not verified. Some fields updated by batch processes. 300 $aTitle from PDF title page (viewed June 3, 2015). 320 $aIncludes bibliographical references. 517 $aBuilding Industry Reporting and Design for Sustainability 606 $aEnergy consumption 606 $aBuilding$xEconomics 615 0$aEnergy consumption. 615 0$aBuilding$xEconomics. 700 $aKneifel$b Joshua$01386477 701 $aGreig$b Anne Landfield$01402658 701 $aKneifel$b Joshua$01386477 701 $aLavappa$b Priya$01386476 701 $aSuh$b Sangwon$01402659 712 02$aNational Institute of Standards and Technology (U.S.).$bEngineering Laboratory.$bApplied Economics Office. 801 0$bNBS 801 1$bNBS 801 2$bGPO 906 $aBOOK 912 $a9910711251303321 996 $aBuilding Industry Reporting and Design for Sustainability (BIRDS) new residential database technical manual$93523964 997 $aUNINA