Investigation of flash crash via topological data analysis

Topological data analysis has been acknowledged as one of the most successful mathematical analytic methodologies in various fields including medicine, genetics, and image analysis. In this paper we explore potential methodology finance by applying persistence landscape dynamic time series to analyze an extreme event stock market, known Flash Crash . We will provide results our empirical investigation confirm effectiveness new method not only for characterization but also its prediction purposes.