Asymptotic behavior of the quadratic variation of the sum of two Hermite processes of consecutive orders

M. Clausel, F. Roueff, M. S. Taqqu, C. Tudor

Research output: Contribution to journalArticlepeer-review

Abstract

Hermite processes are self-similar processes with stationary increments which appear as limits of normalized sums of random variables with long range dependence. The Hermite process of order 1 is fractional Brownian motion and the Hermite process of order 2 is the Rosenblatt process. We consider here the sum of two Hermite processes of orders q≥1 and q+1 and of different Hurst parameters. We then study its quadratic variations at different scales. This is akin to a wavelet decomposition. We study both the cases where the Hermite processes are dependent and where they are independent. In the dependent case, we show that the quadratic variation, suitably normalized, converges either to a normal or to a Rosenblatt distribution, whatever the order of the original Hermite processes.

Original languageEnglish
Pages (from-to)2517-2541
Number of pages25
JournalStochastic Processes and their Applications
Volume124
Issue number7
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes

Keywords

  • Covariation
  • Hermite processes
  • Long-range dependence
  • Quadratic variation
  • Self-similar processes
  • Wiener chaos

Fingerprint

Dive into the research topics of 'Asymptotic behavior of the quadratic variation of the sum of two Hermite processes of consecutive orders'. Together they form a unique fingerprint.

Cite this