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Author(s)

Viktor Todorov

Torben Gustav Andersen

Zhiyuan Zhang

Yingwen Tan

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.
Date Published: 2024
Citations: Todorov, Viktor, Torben Gustav Andersen, Zhiyuan Zhang, Yingwen Tan. 2024. Testing Mean Stationarity of Intraday Volatility Curves. Quantitative Economics.