Testing mean stationarity of intraday volatility curves

We develop a test for mean stationarity of latent volatility curves using high‐frequency data. To derive the asymptotic test size and power, we establish a functional invariance principle for semimartingales under a strong mixing condition. The power properties are analyzed under alternatives featuring deterministic trends in the volatility curve dynamics. Application to S&P 500 futures data provides strong evidence of nonstationary variation in the volatility pattern, with implications for real‐time risk management and market activity measurement, including identification of spot volatility and the size of price jumps.

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Publication Details

Journal
Quantitative Economics
Published
2025-01-01
DOI
https://doi.org/10.3982/qe2644
Citations
3
Primary Topic
Financial Risk and Volatility Modeling
Type
article
Field-Weighted Citation Impact
6.62

Funders

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article

Testing mean stationarity of intraday volatility curves

Torben G. Andersen, Viktor Todorov, Zhiyuan Zhang, Yingwen Tan
3 citations
Quantitative Economics
Financial Risk and Volatility Modeling
6.62
article

Testing mean stationarity of intraday volatility curves

Torben G. Andersen, Viktor Todorov, Zhiyuan Zhang, Yingwen Tan
article en
3 citations

Abstract

We develop a test for mean stationarity of latent volatility curves using high‐frequency data. To derive the asymptotic test size and power, we establish a functional invariance principle for semimartingales under a strong mixing condition. The power properties are analyzed under alternatives featuring deterministic trends in the volatility curve dynamics. Application to S&P 500 futures data provides strong evidence of nonstationary variation in the volatility pattern, with implications for real‐time risk management and market activity measurement, including identification of spot volatility and the size of price jumps.

Quantitative EconomicsVol. 16(3)
Shanghai University of Finance and Economics (CN), Aarhus University (DK), Kellogg's (Canada) (CA), Canadiana.org (CA)
National Natural Science Foundation of China, China Scholarship Council, Shanghai University of Finance and Economics
Openalex Percentile: Top 3%
Financial Risk and Volatility Modeling
6.62
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Testing mean stationarity of intraday volatility curves — Torben G. Andersen, Viktor Todorov, et al. · Quantitative Economics (2025) | TGRS Research Map | TGRS