APPLICATION OF THE RANDOM MATRIX THEORY ON THE CROSS-CORRELATION OF STOCK ‎PRICES

International Journal of Mathematical Modelling & Computations

مقاله 3، دوره 6، 3 (SUMMER)، مهر 2016، صفحه 211-219   

نویسندگان

F. Sotoude Vanoliya^* ؛ A. Pourdarvish Heydari

Department of Statistics, University of Mazandaran, Iran

چکیده

The analysis of cross-correlations is extensively applied for understanding of interconnections in stock markets. Variety of methods are used in order to search stock cross-correlations including the Random Matrix Theory (RMT), the Principal Component Analysis (PCA) and the Hierachical ‎Structures.‎
In ‎this work‎, we analyze cross-crrelations between price fluctuations of 20 ‎company ‎stocks‎‎ of Iran by using RMT. We find the eigenvalues and eigenvectors of the matrices of the cross-correlations related to ‎the‎se stocks.‎‎‎
 
The results show some eigenvalues do not fall within the bounds of RMT eigenvalues, that indicate the correlations of ‎‎ stocks in usual and critical flucatutions.

کلیدواژه‌ها

random matrix theory؛ Cross-Correlation؛ Eigenvalue and eigenvector