Physics – Physics and Society
Scientific paper
2006-09-05
Physics
Physics and Society
13 pages, 8 figures, 2 Tables
Scientific paper
10.1117/12.729619
We review some methods recently used in the literature to detect the existence of a certain degree of common behavior of stock returns belonging to the same economic sector. Specifically, we discuss methods based on random matrix theory and hierarchical clustering techniques. We apply these methods to a set of stocks traded at the New York Stock Exchange. The investigated time series are recorded at a daily time horizon. All the considered methods are able to detect economic information and the presence of clusters characterized by the economic sector of stocks. However, different methodologies provide different information about the considered set. Our comparative analysis suggests that the application of just a single method could not be able to extract all the economic information present in the correlation coefficient matrix of a set of stocks.
Coronnello C.
Lillo Fabrizio
Mantegna Rosario Nunzio
Micciche' Salvatore
Tumminello Mi.
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