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Estimating quadratic variation consistently in the presence of endogenous and diurnal measurement error

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  • Kalnina, Ilze
  • Linton, Oliver

Abstract

We propose an econometric model that captures the effects of market microstructure on a latent price process. In particular, we allow for correlation between the measurement error and the return process and we allow the measurement error process to have a diurnal heteroskedasticity. We propose a modification of the TSRVÂ estimator of quadratic variation. We show that this estimator is consistent, with a rate of convergence that depends on the size of the measurement error, but is no worse than n-1/6. We investigate in simulation experiments the finite sample performance of various proposed implementations.

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  • Kalnina, Ilze & Linton, Oliver, 2008. "Estimating quadratic variation consistently in the presence of endogenous and diurnal measurement error," Journal of Econometrics, Elsevier, vol. 147(1), pages 47-59, November.
    • Handle: RePEc:eee:econom:v:147:y:2008:i:1:p:47-59
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