LEADER 02421nam 2200469 450 001 996418258403316 005 20220106172856.0 010 $a3-030-47202-7 024 7 $a10.1007/978-3-030-47202-3 035 $a(CKB)4100000011435816 035 $a(DE-He213)978-3-030-47202-3 035 $a(MiAaPQ)EBC6348257 035 $a(PPN)269146954 035 $a(EXLCZ)994100000011435816 100 $a20210210d2020 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aQuantitative investing $efrom theory to industry /$fLingjie Ma 205 $a1st ed. 2020. 210 1$aCham, Switzerland :$cSpringer,$d[2020] 210 4$dİ2020 215 $a1 online resource (XVII, 455 p. 145 illus., 110 illus. in color.) 311 $a3-030-47201-9 330 $aThis book provides readers with a systematic approach to quantitative investments and bridges the gap between theory and practice, equipping students to more seamlessly enter the world of industry. A successful quantitative investment strategy requires an individual to possess a deep understanding of the financial markets, investment theories and econometric modelings, as well as the ability to program and analyze real-world data sets. In order to connect finance theories and practical industry experience, each chapter begins with a real-world finance case study. The rest of the chapter introduces fundamental insights and theories, and teaches readers to use statistical models and R programming to analyze real-world data, therefore grounding the learning process in application. Additionally, each chapter profiles significant figures in investment and quantitative studies, so that readers can more fully understand the history of the discipline. This volume will be particularly useful to advanced students and practitioners in finance and investments. 606 $aInvestments$xMathematical models 606 $aFinance & accounting 606 $aCorporations$xFinance 615 0$aInvestments$xMathematical models. 615 0$aFinance & accounting. 615 0$aCorporations$xFinance. 676 $a332.6 700 $aMa$b Lingjie$0998881 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996418258403316 996 $aQuantitative investing$92291633 997 $aUNISA