Error bounds on the non-normal approximation of Hermite power variations of fractional Brownian motion

By J. Breton, Ivan Nourdin. 2008

66 citations recorded by the source corpus.

Let $q\geq 2$ be a positive integer, $B$ be a fractional Brownian motion with Hurst index $H\in(0,1)$, $Z$ be an Hermite random variable of index $q$, and $H_q$ denote the $q$th Hermite polynomial. For any $n\geq 1$, set $V_n=\sum_{k=0}^{n-1} H_q(B_{k+1}-B_k)$. The aim of the current paper is to derive, in the case when the Hurst index verifies $H>1-1/(2q)$, an upper bound for the total variation distance between the laws $\mathscr{L}(Z_n)$ and $\mathscr{L}(Z)$, where $Z_n$ stands for the correct renormalization of $V_n$ which converges in distribution towards $Z$. Our results should be compared with those obtained recently by Nourdin and Peccati (2007) in the case where $H<1-1/(2q)$, corresponding to the case where one has normal approximation.

Subfields: Finance, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c9f6e880b097b5adbbe66d0f4b72555ec908fc2d

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In Finance

  1. Ivan Nourdin
  2. Frederi G. Viens
  3. Giovanni Peccati
  4. Khalifa Es-Sebaiy
  5. Ciprian A. Tudor
  6. Alexandra Chronopoulou
  7. Mark Podolskij
  8. Weilin Xiao

In Statistics and Probability

  1. Ivan Nourdin
  2. Giovanni Peccati
  3. Frederi G. Viens
  4. Khalifa Es-Sebaiy
  5. Ciprian A. Tudor
  6. Mark Podolskij
  7. Weilin Xiao
  8. Jun Yu

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