Econophysics: Scaling and its breakdown in finance

We discuss recent empirical results obtained by analyzing high-frequency data of a stock market index, the Standard and Poor’s 500. We focus on the scaling properties and on its breakdown of the index dynamics. A simple stochastic model, the truncated Lévy flight, is illustrated. Successes and limitations of this model are presented. A discussion about similarities and differences between the scaling properties observed in financial markets and in fully developed turbulence is also provided.

[1]  R. Mantegna Lévy walks and enhanced diffusion in Milan stock exchange , 1991 .

[2]  B. Gnedenko,et al.  Limit Distributions for Sums of Independent Random Variables , 1955 .

[3]  H. Markowitz,et al.  The Random Character of Stock Market Prices. , 1965 .

[4]  R. Mantegna,et al.  Scaling behaviour in the dynamics of an economic index , 1995, Nature.

[5]  Shlesinger Comment on "Stochastic process with ultraslow convergence to a Gaussian: the truncated Lévy flight" , 1995, Physical review letters.

[6]  Stanley,et al.  Stochastic process with ultraslow convergence to a Gaussian: The truncated Lévy flight. , 1994, Physical review letters.

[7]  R. Chou,et al.  ARCH modeling in finance: A review of the theory and empirical evidence , 1992 .

[8]  G. Schwert Why Does Stock Market Volatility Change Over Time? , 1988 .

[9]  E. Fama The Behavior of Stock-Market Prices , 1965 .

[10]  Wentian Li,et al.  ABSENCE OF 1/f SPECTRA IN DOW JONES DAILY AVERAGE , 1991 .

[11]  R. Engle Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation , 1982 .

[12]  J. Scheinkman,et al.  Aggregate Fluctuations from Independent Sectoral Shocks: Self-Organized Criticality in a Model of Production and Inventory Dynamics , 1992 .

[13]  竹中 茂夫 G.Samorodnitsky,M.S.Taqqu:Stable non-Gaussian Random Processes--Stochastic Models with Infinite Variance , 1996 .

[14]  Rosario N. Mantegna,et al.  Turbulence and financial markets , 1996, Nature.

[15]  William Feller,et al.  An Introduction to Probability Theory and Its Applications , 1951 .

[16]  L. Bachelier,et al.  Théorie de la spéculation , 1900 .

[17]  J. Peinke,et al.  Turbulent cascades in foreign exchange markets , 1996, Nature.

[18]  P. Clark A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices , 1973 .

[19]  B. Arnold,et al.  MOORE, . Some Characteristics of Changes in Common Stock Prices Cootner, ed. The Random Character of Stock Market Prices, pp. . Cambridge: The . , 1964 .

[20]  Alan L. Tucker A Reexamination of Finite- and Infinite-Variance Distributions as Models of Daily Stock Returns , 1992 .

[21]  William Feller,et al.  An Introduction to Probability Theory and Its Applications , 1967 .

[22]  B. Mandelbrot The Variation of Certain Speculative Prices , 1963 .

[23]  William A. Brock,et al.  Periodic market closure and trading volume: A model of intraday bids and asks☆ , 1992 .

[24]  M. Taqqu,et al.  Stable Non-Gaussian Random Processes : Stochastic Models with Infinite Variance , 1995 .

[25]  Koichi Hamada,et al.  Statistical properties of deterministic threshold elements - the case of market price , 1992 .

[26]  Benoit B. Mandelbrot,et al.  Fractal Geometry of Nature , 1984 .

[27]  Didier Sornette,et al.  The Black-Scholes option pricing problem in mathematical finance : generalization and extensions for a large class of stochastic processes , 1994 .

[28]  W. Arthur,et al.  The Economy as an Evolving Complex System II , 1988 .

[29]  B. LeBaron,et al.  Nonlinear Dynamics and Stock Returns , 2021, Cycles and Chaos in Economic Equilibrium.

[30]  P. Levy Théorie de l'addition des variables aléatoires , 1955 .

[31]  Sreenivasan,et al.  Probability density of velocity increments in turbulent flows. , 1992, Physical review letters.