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.
Authors
- Torben G. Andersen (ORCID: https://orcid.org/0009-0004-0397-000X)
- Viktor Todorov (ORCID: https://orcid.org/0000-0002-2360-7812)
- Zhiyuan Zhang (ORCID: https://orcid.org/0000-0001-8261-4820)
- Yingwen Tan
Institutions
- Shanghai University of Finance and Economics (CN)
- Aarhus University (DK)
- Kellogg's (Canada) (CA)
- Canadiana.org (CA)
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
- National Natural Science Foundation of China
- China Scholarship Council
- Shanghai University of Finance and Economics