Mantegna, Rosario N.; Stanley, H. Eugene Introduction to econophysics. Correlations and complexity in finance. (English) Zbl 1138.91300 Cambridge: Cambridge University Press (ISBN 0-521-62008-2/hbk). ix, 148 p. (2000). Publisher’s description: Statistical physics concepts such as stochastic dynamics, short- and long-range correlations, self-similarity and scaling, permit an understanding of the global behavior of economic systems without first having to work out a detailed microscopic description of the system. This pioneering text explores the use of these concepts in the description of financial systems, the dynamic new specialty of econophysics. The authors illustrate the scaling concepts used in probability theory, critical phenomena, and fully-developed turbulent fluids and apply them to financial time series. They also present a new stochastic model that displays several of the statistical properties observed in empirical data. Physicists will find the application of statistical physics concepts to economic systems fascinating. Economists and other financial professionals will benefit from the book’s empirical analysis methods and well-formulated theoretical tools that will allow them to describe systems composed of a huge number of interacting subsystems.See the review of the second edition (2007; Zbl 1134.91001). Cited in 1 ReviewCited in 367 Documents MSC: 91-02 Research exposition (monographs, survey articles) pertaining to game theory, economics, and finance 91B80 Applications of statistical and quantum mechanics to economics (econophysics) 91B84 Economic time series analysis 91G70 Statistical methods; risk measures 91G80 Financial applications of other theories 82B99 Equilibrium statistical mechanics Citations:Zbl 1134.91001 PDFBibTeX XMLCite \textit{R. N. Mantegna} and \textit{H. E. Stanley}, Introduction to econophysics. Correlations and complexity in finance. Cambridge: Cambridge University Press (2000; Zbl 1138.91300) Full Text: DOI