Econometrica: Jan 2017, Volume 85, Issue 1

Assessment of Uncertainty in High Frequency Data: The Observed Asymptotic Variance

https://doi.org/10.3982/ECTA12501
p. 197-231

Per A. Mykland, Lan Zhang

The availability of high frequency financial data has generated a series of estimators based on intra‐day data, improving the quality of large areas of financial econometrics. However, estimating the standard error of these estimators is often challenging. The root of the problem is that traditionally, standard errors rely on estimating a theoretically derived asymptotic variance, and often this asymptotic variance involves substantially more complex quantities than the original parameter to be estimated.

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Supplemental Material

Supplement to "Assessment of Uncertainty in High Frequency Data: The Observed Asymptotic Variance"

This appendix contains additional proofs and technical issues.

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