000801121 000__ 02899cam\a2200481Ia\4500 000801121 001__ 801121 000801121 005__ 20230306143617.0 000801121 006__ m\\\\\o\\d\\\\\\\\ 000801121 007__ cr\un\nnnunnun 000801121 008__ 171011s2017\\\\sz\\\\\\o\\\\\001\0\eng\d 000801121 019__ $$a1005506741$$a1005972845 000801121 020__ $$a9783319634654$$q(electronic book) 000801121 020__ $$a3319634658$$q(electronic book) 000801121 020__ $$z9783319634647 000801121 020__ $$z331963464X 000801121 0247_ $$a10.1007/978-3-319-63465-4$$2doi 000801121 035__ $$aSP(OCoLC)on1005878468 000801121 035__ $$aSP(OCoLC)1005878468$$z(OCoLC)1005506741$$z(OCoLC)1005972845 000801121 040__ $$aYDX$$beng$$cYDX$$dN$T$$dOCLCF$$dFIE$$dUAB 000801121 049__ $$aISEA 000801121 050_4 $$aHB137 000801121 08204 $$a330.015195 000801121 1001_ $$aChen, Jim,$$d1966- 000801121 24510 $$aEconophysics and capital asset pricing :$$bsplitting the atom of systematic risk /$$cJames Ming Chen. 000801121 260__ $$aCham, Switzerland :$$bPalgrave Macmillan,$$c2017. 000801121 300__ $$a1 online resource. 000801121 336__ $$atext$$btxt$$2rdacontent 000801121 337__ $$acomputer$$bc$$2rdamedia 000801121 338__ $$aonline resource$$bcr$$2rdacarrier 000801121 347__ $$atext file$$bPDF$$2rda 000801121 4901_ $$aQuantitative perspectives on behavioral economics and finance 000801121 500__ $$aIncludes index. 000801121 506__ $$aAccess limited to authorized users. 000801121 520__ $$aThis book rehabilitates beta as a definition of systemic risk by using particle physics to evaluate discrete components of financial risk. Much of the frustration with beta stems from the failure to disaggregate its discrete components; conventional beta is often treated as if it were "atomic" in the original Greek sense: uncut and indivisible. By analogy to the Standard Model of particle physics theory's three generations of matter and the three-way interaction of quarks, Chen divides beta as the fundamental unit of systemic financial risk into three matching pairs of "baryonic" components. The resulting econophysics of beta explains no fewer than three of the most significant anomalies and puzzles in mathematical finance. Moreover, the model's three-way analysis of systemic risk connects the mechanics of mathematical finance with phenomena usually attributed to behavioral influences on capital markets. Adding consideration of volatility and correlation, and of the distinct cash flow and discount rate components of systematic risk, harmonizes mathematical finance with labor markets, human capital, and macroeconomics.--$$cProvided by publisher. 000801121 588__ $$aDescription based on print version record. 000801121 650_0 $$aEconophysics. 000801121 650_0 $$aCapital assets pricing model. 000801121 77608 $$iPrint version:$$z9783319634647$$z331963464X$$w(OCoLC)992746609 000801121 830_0 $$aQuantitative perspectives on behavioral economics and finance. 000801121 852__ $$bebk 000801121 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-63465-4$$zOnline Access$$91397441.1 000801121 909CO $$ooai:library.usi.edu:801121$$pGLOBAL_SET 000801121 980__ $$aEBOOK 000801121 980__ $$aBIB 000801121 982__ $$aEbook 000801121 983__ $$aOnline 000801121 994__ $$a92$$bISE