Oh, Gabjin; Kim, Seunghwan; Eom, Cheoljun; Kim, Taehyuk - arXiv.org - 2007
We propose a novel method to quantify the clustering behavior in a complex time series and apply it to a high-frequency data of the financial markets. We find that regardless of used data sets, all data exhibits the volatility clustering properties, whereas those which filtered the volatility...