فهرست مقالات Eigenvalue and eigenvector

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  1 - APPLICATION OF THE RANDOM MATRIX THEORY ON THE CROSS-CORRELATION OF STOCK ‎PRICES
  F. Sotoude Vanoliya A. Pourdarvish Heydari
  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 چکیده کامل

  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. پرونده مقاله