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NONEXTENSIVE STATISTICAL MECHANICS DISTRIBUTIONS AND DYNAMICS OF FINANCIAL OBSERVABLES FROM THE NONLINEAR STOCHASTIC DIFFERENTIAL EQUATIONS

Julius Ruseckas (), Vygintas Gontis and Bronislovas Kaulakys
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Julius Ruseckas: Institute of Theoretical Physics and Astronomy, Vilnius University, A. Goštauto 12, LT-01108 Vilnius, Lithuania
Vygintas Gontis: Institute of Theoretical Physics and Astronomy, Vilnius University, A. Goštauto 12, LT-01108 Vilnius, Lithuania
Bronislovas Kaulakys: Institute of Theoretical Physics and Astronomy, Vilnius University, A. Goštauto 12, LT-01108 Vilnius, Lithuania

Advances in Complex Systems (ACS), 2012, vol. 15, issue supp0, 1-13

Abstract: We present nonlinear stochastic differential equations, generating processes with theq-exponential andq-Gaussian distributions of the observables, i.e. with the long-range power-law autocorrelations and1/fβpower spectral density. Similarly, the Tsallisq-distributions may be obtained in the superstatistical framework as a superposition of different local dynamics at different time intervals. In such approach, the average of the stochastic variable is generated by the nonlinear stochastic process, while the local distribution of the signal is exponential or Gaussian one, conditioned by the slow average. Further we analyze relevance of the generalized and adapted equations for modeling the financial processes. We model the inter-trade durations, the trading activity and the normalized return using the superstatistical approaches with the exponential and normal distributions of the local signals driven by the nonlinear stochastic process.

Keywords: Stochastic differential equations; Tsallis distributions; superstatistics; financial systems (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (5)

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DOI: 10.1142/S0219525912500737

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