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Asymptotic expansion of a variation with anticipative weights - MaRDI portal

Asymptotic expansion of a variation with anticipative weights

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Publication:6357361

DOI10.1016/J.SPA.2022.10.003arXiv2101.00089MaRDI QIDQ6357361

Nakahiro Yoshida

Publication date: 31 December 2020

Abstract: Asymptotic expansion of a variation with anticipative weights is derived by the theory of asymptotic expansion for Skorohod integrals having a mixed normal limit. The expansion formula is expressed with the quasi-torsion, quasi-tangent and other random symbols. To specify these random symbols, it is necessary to classify the level of the effect of each term appearing in the stochastic expansion of the variable in question. To solve this problem, we consider a class calL of certain sequences (calIn)ninmathbbN of Wiener functionals and we give a systematic way of estimation of the order of (calIn)ninmathbbN. Based on this method, we introduce a notion of exponent of the sequence (calIn)ninmathbbN, and investigate the stability and contraction effect of the operators Dun and D on calL, where un is the integrand of a Skorohod integral. After constructed these machineries, we derive asymptotic expansion of the variation having anticipative weights. An application to robust volatility estimation is mentioned.












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