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
- Ivan Nourdin
- Frederi G. Viens
- Giovanni Peccati
- Khalifa Es-Sebaiy
- Ciprian A. Tudor
- Alexandra Chronopoulou
- Mark Podolskij
- Weilin Xiao
In Statistics and Probability
- Ivan Nourdin
- Giovanni Peccati
- Frederi G. Viens
- Khalifa Es-Sebaiy
- Ciprian A. Tudor
- Mark Podolskij
- Weilin Xiao
- Jun Yu
Citations in the corpus
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- ASYMPTOTIC THEORY FOR ESTIMATING DRIFT PARAMETERS IN THE FRACTIONAL VASICEK MODEL (2018, methodology): “When κ > 0, Kleptsyna and Le Breton (2002), Tudor and Viens (2007), Tanaka (2014) studied the maximum likelihood (ML) estimator; Hu and Nualart (2010) studied the least squares (LS) estimator; Tanaka (2013) studied the minimum contrast (MC) estimator; Hu and Nualart (2010) introduced and studied an ”