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Average cross-responses in correlated financial market

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  • Shanshan Wang
  • Rudi Schafer
  • Thomas Guhr

Abstract

There are non-vanishing price responses across different stocks in correlated financial markets. We further study this issue by performing different averages, which identify active and passive cross-responses. The two average cross-responses show different characteristic dependences on the time lag. The passive cross-response exhibits a shorter response period with sizeable volatilities, while the corresponding period for the active cross-response is longer. The average cross-responses for a given stock are evaluated either with respect to the whole market or to different sectors. Using the response strength, the influences of individual stocks are identified and discussed. Moreover, the various cross-responses as well as the average cross-responses are compared with the self-responses. In contrast, the short memory of trade sign cross-correlation for stock pairs, the sign cross-correlation has long memory when averaged over different pairs of stocks.

Suggested Citation

  • Shanshan Wang & Rudi Schafer & Thomas Guhr, 2016. "Average cross-responses in correlated financial market," Papers 1603.01586, arXiv.org, revised Sep 2016.
  • Handle: RePEc:arx:papers:1603.01586
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    Cited by:

    1. Luis Carlos Garc'ia del Molino & Iacopo Mastromatteo & Michael Benzaquen & Jean-Philippe Bouchaud, 2018. "The Multivariate Kyle model: More is different," Papers 1806.07791, arXiv.org, revised Dec 2018.
    2. Shanshan Wang, 2017. "Trading strategies for stock pairs regarding to the cross-impact cost," Papers 1701.03098, arXiv.org, revised Jul 2017.
    3. L. C. Garcia Del Molino & I. Mastromatteo & Michael Benzaquen & J.-P. Bouchaud, 2019. "The Multivariate Kyle model: More is different," Working Papers hal-02323433, HAL.

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