Economy – Quantitative Finance – Statistical Finance
Scientific paper
2007-09-15
Economy
Quantitative Finance
Statistical Finance
Scientific paper
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 clustering effect by using the GARCH model reduce volatility clustering significantly. The result confirms that our method can measure the volatility clustering effect in financial market.
Eom Cheoljun
Kim Seunghwan
Kim Taehyuk
Oh Gabjin
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