High frequency correlation modelling
AbstractMany statistical arbitrage strategies, such as pair trading or basket trading, are based on several assets. Optimal execution routines should also take into account correlation between stocks when proceeding clients orders. However, not so much effort has been devoted to correlation modelling and only few empirical results are known about high frequency correlation. We develop a theoretical framework based on correlated point processes in order to capture the Epps effect in section 1. We show in section 2 that this model converges to correlated Brownian motions when moving to large time scales. A way of introducing non-Gaussian correlations is also discussed in section 2. We conclude by addressing the limits of this model and further research on high frequency correlation.
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Date of creation: 2011
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Publication status: Published - Presented, 5th Kolkata Econophysics conference, 2010, Kolkata, India
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This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-09-22 (All new papers)
- NEP-ETS-2011-09-22 (Econometric Time Series)
- NEP-MST-2011-09-22 (Market Microstructure)
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- Bence Toth & Janos Kertesz, 2009. "The Epps effect revisited," Quantitative Finance, Taylor & Francis Journals, vol. 9(7), pages 793-802.
- Precup, O. V. & Iori, G., 2005.
"Cross-correlation measures in the high-frequency domain,"
05/04, Department of Economics, City University London.
- Ovidiu V. Precup & Giulia Iori, 2007. "Cross-correlation Measures in the High-frequency Domain," The European Journal of Finance, Taylor & Francis Journals, vol. 13(4), pages 319-331.
- Tóth, Bence & Kertész, János, 2007. "On the origin of the Epps effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 383(1), pages 54-58.
- Bence Toth & Janos Kertesz, 2007. "On the origin of the Epps effect," Papers physics/0701110, arXiv.org, revised Feb 2007.
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