Detecting correlation in stock market

We present a new method for detecting dependencies in the stock market. In order to find hidden correlations in the daily returns, we build cross prediction models and use the normalized modeling error as a generalized correlation measure that extends the concept of the classical correlation matrix.

[1]  Ulrich Parlitz,et al.  Mixed State Analysis of multivariate Time Series , 2001, Int. J. Bifurc. Chaos.

[2]  Eric R. Ziegel,et al.  The Elements of Statistical Learning , 2003, Technometrics.

[3]  R. Mantegna.  Hierarchical structure in financial markets , 1998, cond-mat/9802256.