Edgeworth expansion for the pre-averaging estimator

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In this paper, we study the Edgeworth expansion for a pre-averaging estimator of quadratic variation in the framework of continuous diffusion models observed with noise. More specifically, we obtain a second order expansion for the joint density of the estimators of quadratic variation and its asymptotic variance. Our approach is based on martingale embedding, Malliavin calculus and stable central limit theorems for continuous diffusions. Moreover, we derive the density expansion for the studentized statistic, which might be applied to construct asymptotic confidence regions.
OriginalsprogEngelsk
UdgivelsesstedAarhus
UdgiverInstitut for Økonomi, Aarhus Universitet
Antal sider36
StatusUdgivet - 15 dec. 2015
SerietitelCREATES Research Papers
Nummer2015-60

    Forskningsområder

  • diffusion processes, Edgeworth expansion, high frequency observations, quadratic variation, pre-averaging

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