On Simpson's rule and fractional Brownian motion with H = 1/10
Abstract
We consider stochastic integration with respect to fractional Brownian motion (fBm) with H < 1/2. The integral is constructed as the limit, where it exists, of a sequence of Riemann sums. A theorem by Gradinaru, Nourdin, Russo & Vallois (2005) holds that a sequence of Simpson's rule Riemann sums converges in probability for a sufficiently smooth integrand f and when the stochastic process is fBm with H > 1/10. For the case H = 1/10, we prove that the sequence of sums converges in distribution. Consequently, we have an It\o-like formula for the resulting stochastic integral. The convergence in distribution follows from a Malliavin calculus theorem that first appeared in Nourdin and Nualart (2010).
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