Power variations and limit theorems for stochastic processes controlled by fractional Brownian motions (Q6614489)
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scientific article; zbMATH DE number 7922283
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Power variations and limit theorems for stochastic processes controlled by fractional Brownian motions |
scientific article; zbMATH DE number 7922283 |
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Power variations and limit theorems for stochastic processes controlled by fractional Brownian motions (English)
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7 October 2024
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In the setting of rough paths, let \((y_t)_{t\in[0,1]}\) be a stochastic process controlled by a fractional Brownian motion with Hurst parameter \(H\leq1/2\). The corresponding power variation of order \(p>0\) is\N\[\N\sum_{k=0}^{n-1}|y_{t_{k+1}}-y_{t_k}|^p\,,\N\]\Nwhere \(0=t_0<t_1<\cdots<t_n=1\). The authors establish limit theorems for these power variations, distinguishing the three cases \(H<1/4\), \(H=1/4\) and \(H>1/4\). The limit theorems are based on a decomposition of the power variation into weighted random sums and remainder terms. When \(H<1/4\) the authors show convergence in probability of the centred power variation at rate \(n^{-2H}\) as \(n\to\infty\). When \(H\geq1/4\) there is convergence in law at rate \(n^{-1/2}\).
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controlled rough path
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discrete rough integral
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estimation of volatility
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fractional Brownian motion
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limit theorems
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power variation
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