Financial correlations at ultra-high frequency: theoretical models and empirical estimation
arXiv:1011.1011 · doi:10.1140/epjb/e2011-10865-y
Abstract
A detailed analysis of correlation between stock returns at high frequency is compared with simple models of random walks. We focus in particular on the dependence of correlations on time scales - the so-called Epps effect. This provides a characterization of stochastic models of stock price returns which is appropriate at very high frequency.
22 pages, 8 figures, 1 table, version to appear in EPJ B
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Cited by in corpus (6)
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- The Epps effect under alternative sampling schemes
- Malliavin-Mancino estimators implemented with non-uniform fast Fourier transforms
- Linear processes in high-dimension: phase space and critical properties
- Fourier instantaneous estimators and the Epps effect
- Detecting discrete processes with the Epps effect