Integrated volatility estimation: the case of observed noise variables

59 Pages Posted: 15 Jan 2020 Last revised: 6 Aug 2024

See all articles by Erindi Allaj

Erindi Allaj

Parma University, Department of Economics and Management

Date Written: December 26, 2019

Abstract

We propose a new estimator of the integrated volatility in presence of observed noise variables, measured, for example, by the trading volume or the bid-ask-spread. We find that, under specific conditions, the proposed estimator is consistent and the error, adjusted for the noise effects, between the proposed estimator and the integrated volatility has the same asymptotic distribution of the realized volatility (RV) estimator under no noise effects. Finally, our results are validated by a simulation and an empirical study.

Keywords: integrated volatility, microstructure noise effects, price impact, nonparametric estimation

Suggested Citation

Allaj, Erindi, Integrated volatility estimation: the case of observed noise variables (December 26, 2019). Available at SSRN: https://ssrn.com/abstract=3509894 or http://dx.doi.org/10.2139/ssrn.3509894

Erindi Allaj (Contact Author)

Parma University, Department of Economics and Management ( email )

Via J.F. Kennedy, 6
Parma, 43125
Italy

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