Cross-correlation dynamics in financial time series
Conlon, Thomas and Ruskin, Heather J. and Crane, Martin (2009) Cross-correlation dynamics in financial time series. Physica A Statistical Mechanics and its Applications, 388 (5). pp. 705-714. ISSN 0378-4371
Full text available as:
The dynamics of the equal-time cross-correlation matrix of multivariate financial time series is explored by examination of the eigenvalue spectrum over sliding time windows. Empirical results for the S&P 500 and the Dow Jones Euro Stoxx 50 indices reveal that the dynamics of
the small eigenvalues of the cross-correlation matrix, over these time windows, oppose those of the largest eigenvalue. This behaviour is shown to be independent of the size of the time window and the number of stocks examined. A basic one-factor model is proposed, which captures the main dynamical features of the eigenvalue spectrum of the empirical data. Through the addition of perturbations to the one-factor model, (leading to a market plus sectors model), additional sectoral features are added, resulting in an Inverse Participation Ratio comparable to that found
for empirical data.
Archive Staff Only: edit this record