• Media type: E-Book; Report
  • Title: A Donsker theorem for Lévy measures
  • Contributor: Nickl, Richard [Author]; Reiß, Markus [Author]
  • imprint: Berlin: Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk, 2012
  • Language: English
  • Keywords: C22 ; Schätztheorie ; pseudo-differential operators ; Theorie ; uniform central limit theorem ; jump measure ; C14 ; Stochastischer Prozess ; nonlinear inverse problem ; smoothed empirical processes
  • Origination:
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  • Description: Given n equidistant realisations of a Lévy process (Lt; t >= 0), a natural estimator for the distribution function N of the Lévy measure is constructed. Under a polynomial decay restriction on the characteristic function, a Donsker-type theorem is proved, that is, a functional central limit theorem for the process in the space of bounded functions away from zero. The limit distribution is a generalised Brownian bridge process with bounded and continuous sample paths whose covariance structure depends on the Fourier-integral operator. The class of Lévy processes covered includes several relevant examples such as compound Poisson, Gamma and self-decomposable processes. Main ideas in the proof include establishing pseudo-locality of the Fourier-integral operator and recent techniques from smoothed empirical processes.
  • Access State: Open Access