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Memory effect and multifractality of cross-correlations in financial markets


  • Tian Qiu
  • Guang Chen
  • Li-Xin Zhong
  • Xiao-Wei Lei


An average instantaneous cross-correlation function is introduced to quantify the interaction of the financial market of a specific time. Based on the daily data of the American and Chinese stock markets, memory effect of the average instantaneous cross-correlations is investigated over different price return time intervals. Long-range time-correlations are revealed, and are found to persist up to a month-order magnitude of the price return time interval. Multifractal nature is investigated by a multifractal detrended fluctuation analysis.

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  • Tian Qiu & Guang Chen & Li-Xin Zhong & Xiao-Wei Lei, 2010. "Memory effect and multifractality of cross-correlations in financial markets," Papers 1004.5547,
  • Handle: RePEc:arx:papers:1004.5547

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    References listed on IDEAS

    1. Kai Detlefsen & Giacomo Scandolo, 2005. "Conditional and dynamic convex risk measures," Finance and Stochastics, Springer, vol. 9(4), pages 539-561, October.
    2. Freddy Delbaen & Shige Peng & Emanuela Rosazza Gianin, 2008. "Representation of the penalty term of dynamic concave utilities," Papers 0802.1121,, revised Dec 2009.
    3. Kai Detlefsen & Giacomo Scandolo, 2005. "Conditional and Dynamic Convex Risk Measures," SFB 649 Discussion Papers SFB649DP2005-006, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    4. Roorda, Berend & Schumacher, J.M., 2007. "Time consistency conditions for acceptability measures, with an application to Tail Value at Risk," Insurance: Mathematics and Economics, Elsevier, vol. 40(2), pages 209-230, March.
    5. Philippe Artzner & Freddy Delbaen & Jean-Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228.
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