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Bias optimal vol-of-vol estimation: the role of window overlapping

Giacomo Toscano, Maria Cristina Recchioni

arXiv 8 Apr 2020 · Econometrics · publishedDecisions in Economics and Finance (2021) · 5 citations (OpenAlex)

arXiv:2004.04013 · PDF · DOI · OpenAlex · Extracted main text

Abstract

We derive a feasible criterion for the bias-optimal selection of the tuning parameters involved in estimating the integrated volatility of the spot volatility via the simple realized estimator by Barndorff-Nielsen and Veraart (2009). Our analytic results are obtained assuming that the spot volatility is a continuous mean-reverting process and that consecutive local windows for estimating the spot volatility are allowed to overlap in a finite sample setting. Moreover, our analytic results support some optimal selections of tuning parameters prescribed in the literature, based on numerical evidence. Interestingly, it emerges that window-overlapping is crucial for optimizing the finite-sample bias of volatility-of-volatility estimates.

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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Sanfelici, S., Curato, I., and Mancino, M (2015) High frequency volatility of volatility estimation free from spot volatility estimates1.000216100%
2Aït-Sahalia, Y., Fan, J., and Li, Y (2013) The leverage effect puzzle: disentangling sources of bias at high frequency1.00084100%
3Andersen, T., Bollerslev, T., Diebold, F., and Ebens, H (2001) The distribution of realized stock return volatility1.00055100%
4Aït-Sahalia, Y., Fan, J., Laeven, R., Wang, C. D., and Yang, X (2017) Estimation of the continuous and discontinuous leverage effects1.00053100%
5Vetter, M (2015) Estimation of integrated volatility of volatility with applications to goodness-of-fit testing0.92843100%
6Platen, E (1997) A non-linear stochastic volatility model0.84333100%
7Heston, S (1993) A closed-form solution for options with stochastic volatility with applications to bond and currency options0.84333100%
8Nelson, D (1990) Arch models as diffusion approximations0.84333100%
9Barndorff-Nielsen, O. and Veraart, A (2009) Stochastic volatility of volatility in continuous time0.81142100%
10Bollerslev, T. and Zhou, H (2002) Estimating stochastic volatility diffusion using conditional moments of integrated volatility0.7547343%

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arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Volatility of volatility estimation: central limit theorems for the Fourier transform estimator and empirical study of the daily time series stylized facts0.40511