Regular and modified kernel-based estimators of integrated variance: the case with independent noise
We consider kernel-based estimators of integrated variances in the presence of independent market microstructure effects. We derive the bias and variance properties for all regular kernel-based estimators and derive a lower bound for their asymptotic variance. Further we show that the subsample-base...
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| Format: | Working paper |
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University of Oxford
2004
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