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YANG ZU's Outputs (2)

CUSUM-Based Monitoring for Explosive Episodes in Financial Data in the Presence of Time-Varying Volatility (2021)
Journal Article
Astill, S., Harvey, D. I., Leybourne, S. J., Taylor, A. R., & Zu, Y. (2023). CUSUM-Based Monitoring for Explosive Episodes in Financial Data in the Presence of Time-Varying Volatility. Journal of Financial Econometrics, 21(1), 187-227. https://doi.org/10.1093/jjfinec/nbab009

We generalise the Homm and Breitung (2012) CUSUM-based procedure for the real-time detection of explosive autoregressive episodes in financial price data to allow for time-varying volatility. Such behaviour can heavily inflate the false positive rate... Read More about CUSUM-Based Monitoring for Explosive Episodes in Financial Data in the Presence of Time-Varying Volatility.

Adaptive Testing for Cointegration With Nonstationary Volatility (2021)
Journal Article
Boswijk, H. P., & Zu, Y. (2022). Adaptive Testing for Cointegration With Nonstationary Volatility. Journal of Business and Economic Statistics, 40(2), 744-755. https://doi.org/10.1080/07350015.2020.1867558

This article develops a class of adaptive cointegration tests for multivariate time series with nonstationary volatility. Persistent changes in the innovation variance matrix of a vector autoregressive model lead to size distortions in conventional c... Read More about Adaptive Testing for Cointegration With Nonstationary Volatility.