2011/06/12 by Litan Yan, Chao Chen, Yan, Litan +3
Decision Sciences · Economics, Econometrics and Finance · Mathematics · #Financial Risk and Volatility Modeling #Probability and Risk Models #Stochastic processes and financial applications #math.PR #msc:60G15 #msc:60H05 #msc:60H07
paper · pdf · doi:10.48550/arxiv.1106.2302
22 pages
arxiv created 2011/06/18 · arxiv updated 2011/06/21
Let BH be a fractional Brownian motion with Hurst index 0<H<1/2. In this paper we study the \it generalized quadratic covariation [f(BH),BH](W) defined by [f(BH),BH](W)t=limε\downarrow 0\frac2Hε2H∫0t\f(BHs+ε)-f(BHs)\(BHs+ε- BHs)s2H-1ds, where the limit is uniform in probability and x↦ f(x) is a deterministic function. We construct a Banach space \mathscr H of measurable functions such that the generalized quadratic covariation exists in L2 and the Bouleau-Yor identity takes the form [f(BH),BH]t(W)=-∫_\mathbb Rf(x)\mathscr LH(dx,t) provided f∈ \mathscr H, where \mathscr LH(x,t) is the weighted local time of BH. This allows us to write the fractional Itô formula for absolutely continuous functions with derivative belonging to \mathscr H. These are also extended to the time-dependent case.