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arxiv: 1603.04735 · v1 · pith:NWKHJXYFnew · submitted 2016-03-15 · 🧮 math.PR

Convergence rate for the hedging error of a path-dependent example

classification 🧮 math.PR
keywords rateconvergenceapproximationbesovbiglbigrbrownianclass
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We consider a Brownian functional $F=g\bigl(\int_0^T \eta(s) dW_s\bigr)$ with $g \in L_2(\gamma)$ and a singular deterministic $\eta$. We deduce the $L_2$-convergence rate for the approximation $F^{(n)} = E F + \int_0^T \phi^{(n)}(s) dW_s$ for a class of piecewise constant predictable integrands $\phi^{(n)}$ from the fractional smoothness of $g$ quantified by Besov spaces and the rate of singularity of $\eta$.

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