000			01860nam a22002537a 4500
999			_c1802 _d1802
003			OSt
005			20191011131825.0
008			191011b ||||| |||| 00| 0 eng d
020			_a0-521-03987-8
040			_cIZA
100			_aMantegna, Rosario N. _94802
100			_aStanley, H. Eugene _94803
245			_aAn Introduction to Exophysics: Correlations and Complexity in Finance
260			_aCambridge et al., _bCambridge Unviersity Press, _c2007
300			_a148 pages
520			_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.
653			_astatistical physics
653			_aeconomic systems
653			_afinancial systems
653			_aprobability theory
653			_astochastic model
856			_uhttps://www.cambridge.org/core/books/introduction-to-econophysics/6A2727FE42578790E6E1021B7955EE30#fndtn-information _yPublisher's website
942			_2ddc _cBO