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Inhomogeneous Random Evolutions and Their Applications

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Inhomogeneous Random Evolutions and Their Applications explains how to model various dynamical systems in finance and insurance with non-homogeneous in time characteristics. It includes modeling for:

  • financial underlying and derivatives via Levy processes with time-dependent characteristics;
  • limit order books in the algorithmic and HFT with counting price changes processes having time-dependent intensities;
  • risk processes which count number of claims with time-dependent conditi...