Integrated volatility estimation: the case of observed noise variables

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 estimator under no noise effects. Finally, our results are validated by a simulation and an empirical study.

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Publication Details

Journal
Journal of the Korean Statistical Society
Published
2024-08-21
DOI
https://doi.org/10.1007/s42952-024-00286-z
Primary Topic
Financial Risk and Volatility Modeling
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrated volatility estimation: the case of observed noise variables

Erindi Allaj
Journal of the Korean Statistical Society
Financial Risk and Volatility Modeling
article

Integrated volatility estimation: the case of observed noise variables

Erindi Allaj
article en

Abstract

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 estimator under no noise effects. Finally, our results are validated by a simulation and an empirical study.

Journal of the Korean Statistical SocietyVol. 54(1)
University of Parma (IT)
Università degli Studi di Parma
Openalex Percentile: Top 82%
Financial Risk and Volatility Modeling
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