LEADER 01219nam2 22002651i 450 001 SUN0069464 005 20110407020622.531 100 $a20090430d1965 |0latc50 ba 101 $alat$aGRC 102 $aNL 105 $a|||| ||||| 200 1 $aˆ1: ‰Litteras A-B cotinens 205 $aNachdruck 210 $aAmsterdam$cAdolf M. Hakkert$d1965 215 $aIV, 293 p.$d23 cm. - Ripr. facs. dell'ed.: Lispiae : in aedibus B.G. Teubneri, 1909. 461 1$1001SUN0069462$12001 $aEtymologicum Gudianum quod vocatur$frecensuit et apparatum criticum indicesque adiecit Ed. Aloysius De Stefani$v1$1210 $aAmsterdam$cAdolf M. Hakkert$1215 $a2 v.$d23 cm. 620 $dAmsterdam$3SUNL001716 702 1$aDe Stefani$b, Aloysius$3SUNV054804 712 $aHakkert$3SUNV003808$4650 801 $aIT$bSOL$c20181109$gRICA 912 $aSUN0069464 950 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI LETTERE E BENI CULTURALI$d07 CONS Xd Etym-Gud. 548 $e07 3790 995 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI LETTERE E BENI CULTURALI$bIT-CE0103$h3790$kCONS Xd Etym-Gud. 548$oc$qa 996 $aLitteras A-B cotinens$91436379 997 $aUNICAMPANIA LEADER 04706nam 22005655 450 001 9911054605203321 005 20260114120353.0 010 $a3-031-92901-2 024 7 $a10.1007/978-3-031-92901-4 035 $a(MiAaPQ)EBC32486708 035 $a(Au-PeEL)EBL32486708 035 $a(CKB)44968239500041 035 $a(DE-He213)978-3-031-92901-4 035 $a(EXLCZ)9944968239500041 100 $a20260114d2026 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAsset Pricing Models and Market Efficiency $eUsing Machine Learning to Explain Stock Market Anomalies /$fby James W. Kolari, Wei Liu, Jianhua Z. Huang, Huiling Liao 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Palgrave Macmillan,$d2026. 215 $a1 online resource (291 pages) 225 1 $aEconomics and Finance Series 311 08$a3-031-92900-4 327 $aPart I Introduction -- 1. The Rise of Anomalies: Challenging Theory and Practice in Finance -- 2. Anomaly Stock Portfolios -- Part II Anomalies Literature and Asset Pricing Models -- 3. Prominent Asset Pricing Models and Anomaly Portfolio Returns -- 4. The ZCAPM and Anomaly Portfolio Returns -- Part III Explaining Anomaly Portfolio Returns -- 5. Can Asset Pricing Models Explain Anomaly Stock Portfolio Returns? -- 6. Further Tests of Asset Pricing Models and Anomaly Portfolio Returns -- Part IV Asset Pricing Model Validity -- 7. Empirical Tests on the Validity of Asset Pricing Models -- Part VI Conclusion -- 8. Machine Learning in Asset Pricing Models: The Dominance of the ZCAPM. 330 $aThis book shows that the stock market returns of hundreds of anomaly portfolios discovered by researchers in finance over the past three decades can be explained by a recent asset pricing model dubbed the ZCAPM. Anomaly portfolios are long/short portfolio returns on stocks that cannot be explained by asset pricing models, and their number has been steadily increasing into the hundreds. Since asset pricing models cannot explain them, behavioral theories have become popular to account for anomalies. Unlike the efficient market hypothesis that assumes rational investors, these human psychology-based theories emphasize irrational investor behavior. This book collects and analyzes a large database of U.S. stock returns for anomaly portfolios over a long sample period spanning approximately 60 years. The authors overview different asset pricing models that have attempted to explain anomalous portfolio returns in the stock market. They then provide a theoretical and empirical discussion of a new asset pricing model dubbed the ZCAPM and report compelling empirical evidence that reveals the ZCAPM can explain hundreds of anomalies. Implications to the efficient-markets/behavioral-finance controversy are discussed. The book will be of particular interest to researchers, students, and professors of capital markets, asset management, and financial economics alongside professionals. James W. Kolari is the JP Morgan Chase Professor of Finance and Academic Director of the Global Corporate Banking Program in the Department of Finance at Texas A&M University, College Station, Texas, USA. Wei Liu is a Clinical Associate Professor of Finance in the Department of Finance at Texas A&M University, College Station, Texas, USA. Before that, he was a senior quantitative analyst at USAA Bank in San Antonio, Texas as well as IberiaBank Corporation in Birmingham, Alabama. Jianhua Z. Huang is Presidential Chair Professor and Director of the Technology and Innovation Center for Digital Economy at School of Data Science, The Chinese University of Hong Kong, Shenzhen. Huiling Liao is currently working at the Illinois Institute of Technology in Chicago, Illinois. She previously was a Postdoctoral Associate with the Division of Biostatistics and Health Data Science at the University of Minnesota. 410 0$aEconomics and Finance Series 606 $aCapital market 606 $aFinance 606 $aFinancial risk management 606 $aCapital Markets 606 $aFinancial Economics 606 $aRisk Management 615 0$aCapital market. 615 0$aFinance. 615 0$aFinancial risk management. 615 14$aCapital Markets. 615 24$aFinancial Economics. 615 24$aRisk Management. 676 $a332.6 700 $aKolari$b James W$0850057 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911054605203321 996 $aAsset Pricing Models and Market Efficiency$94529759 997 $aUNINA