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Smearing Distributions and their use in Financial Markets

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  • Petr Jizba
  • Hagen Kleinert

Abstract

It is shown that superpositions of path integrals with arbitrary Hamiltonians and different scaling parameters v ("variances") obey the Chapman-Kolmogorov relation for Markovian processes if and only if the corresponding smearing distributions for v have a specific functional form. Ensuing "smearing" distributions substantially simplify the coupled system of Fokker-Planck equations for smeared and un-smeared conditional probabilities. Simple application in financial models with stochastic volatility is presented.

Suggested Citation

  • Petr Jizba & Hagen Kleinert, 2007. "Smearing Distributions and their use in Financial Markets," Papers 0712.0083, arXiv.org.
  • Handle: RePEc:arx:papers:0712.0083
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    File URL: http://arxiv.org/pdf/0712.0083
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