02226nam a22003378i 4500001001600000003000700016008004100023020001800064020001800082020001800100035002000118041000800138082002100146100003400167245013100201264007100332300003800403336002600441337002600467338003600493500001300529520103000542650001801572650003401590650003401624700003201658856005501690932003201745596000601777949010501783CR9780511755767UkCbUP100422s2000||||enk o ||1 0|eng|d a9780511755767 a9780521620086 a9780521039871 a(Sirsi) a791757 aeng00a332/.01/51952211 aMantegna, Rosario N.,eauthor13aAn introduction to econophysics :bcorrelations and complexity in financeh[E-Book] /cRosario N. Mantegna, H. Eugene Stanley. 1aCambridge :bCambridge University Press,c2000e(CUP)fCUP20200108 a1 online resource (ix, 148 pages) atextbtxt2rdacontent acomputerbc2rdamedia aonline resourcebcr2rdacarrier aenglisch aThis book concerns the use of concepts from statistical physics in the description of financial systems. The authors illustrate the scaling concepts used in probability theory, critical phenomena, and fully developed turbulent fluids. These concepts are then applied to financial time series. The authors also present a stochastic model that displays several of the statistical properties observed in empirical data. Statistical physics concepts such as stochastic dynamics, short- and long-range correlations, self-similarity and scaling permit an understanding of the global behaviour of economic systems without first having to work out a detailed microscopic description of the system. Physicists will find the application of statistical physics concepts to economic systems interesting. Economists and workers in the financial world will find useful the presentation of empirical analysis methods and well-formulated theoretical tools that might help describe systems composed of a huge number of interacting subsystems. 0aEconophysics. 0aFinancexStatistical methods. 0aFinancexMathematical models.1 aStanley, H. Eugene,eauthor40uhttps://doi.org/10.1017/CBO9780511755767zVolltext aCambridgeCore (Order 30059) a1 aXX(791757.1)wAUTOc1i791757-1001lELECTRONICmZBrNsYtE-BOOKu8/1/2020xUNKNOWNzUNKNOWN1ONLINE