Inference for time-varying lead–lag relationships from ultra-high-frequency data

Abstract A new approach for modeling lead–lag relationships in high-frequency financial markets is proposed. The model accommodates non-synchronous trading and market microstructure noise as well intraday variations of relationships, which are essential empirical applications. simple statistical methodology analyzing the proposed presented, well. illustrated by an study to detect between S&P 500 index its two derivative products.