2010/02/28 by Jie-Jun Tseng, Sai-Ping Li · 1 citation
Economics, Econometrics and Finance · Physics and Astronomy · #q-fin.ST #physics.soc-ph
paper · pdf · doi:10.1016/j.physa.2010.12.002
published as Physica A 390, 1300 - 1314 (2011) · 29 pages, 14 figures, 5 tables
arxiv created 2011/04/09 · arxiv updated 2015/03/13
An analysis of the stylized facts in financial time series is carried out. We find that, instead of the heavy tails in asset return distributions, the slow decay behaviour in autocorrelation functions of absolute returns is actually directly related to the degree of clustering of large fluctuations within the financial time series. We also introduce an index to quantitatively measure the clustering behaviour of fluctuations in these time series and show that big losses in financial markets usually lump more severely than big gains. We further give examples to demonstrate that comparing to conventional methods, our index enables one to extract more information from the financial time series.